1version: '1.0'2created: '2026-11-03'3sources:4 openalex_topics: openalex_topics_2026-10-14.csv5 dblp_streams: dblp_streams_2018_2026.csv6 generator: taxonomy/build_ontology.py7 data_modules: taxonomy/src/*.py8areas:9- id: ai_ml10 name: Artificial Intelligence and Machine Learning11 description: 'Learning systems and their theory: large language and foundation models, multimodal and generative models, agents, reinforcement learning, learning theory, neural architectures, and AI safety.'12 leaves:13 - llm14 - foundation_models15 - multimodal_ai16 - generative_ai17 - ai_agents18 - reinforcement_learning19 - ml_theory20 - deep_learning_architectures21 - ai_safety22- id: perception_interaction23 name: Perception, Language, Robotics and Interaction24 description: 'Systems that sense, communicate and act in the physical and human world: vision, natural language, speech and audio, robotics, human-computer interaction, and computer graphics.'25 leaves:26 - computer_vision27 - nlp28 - speech_audio29 - robotics30 - hci31 - computer_graphics32- id: software_pl33 name: Software, Programming Languages and Formal Methods34 description: 'How software is built, expressed, translated and proved correct: software engineering, programming languages, compilers, and formal verification.'35 leaves:36 - software_engineering37 - programming_languages38 - compilers39 - formal_verification40- id: theory41 name: Theory of Computation42 description: Algorithms, data structures and the limits of efficient computation.43 leaves:44 - algorithms45 - computational_complexity46- id: data_distributed47 name: Data, Information and Distributed Systems48 description: 'Storing, retrieving and processing data at scale: databases, information retrieval, distributed, cloud and edge computing, and computer networks.'49 leaves:50 - database_systems51 - information_retrieval52 - distributed_computing53 - cloud_computing54 - edge_computing55 - computer_networks56- id: security_privacy57 name: Security, Privacy and Trust58 description: 'Protecting systems, data and users: cybersecurity, applied cryptography, blockchain systems, privacy-preserving computation, and federated learning.'59 leaves:60 - cybersecurity61 - applied_cryptography62 - blockchain63 - privacy_preserving_computation64 - federated_learning65- id: hardware_emerging66 name: Hardware, Architecture and Emerging Computing67 description: 'Physical substrates of computation: computer architecture, AI accelerators, operating systems, quantum computing, and sustainable computing.'68 leaves:69 - computer_architecture70 - ai_accelerators71 - operating_systems72 - quantum_computing73 - sustainable_computing74- id: computational_science75 name: Computational Science and Discovery76 description: 'Computing as an instrument of science: scientific computing, computational biology, and autonomous scientific discovery.'77 leaves:78 - scientific_computing79 - computational_biology80 - autonomous_scientific_discovery81categories:82- id: llm83 number: 184 name: Large Language Models85 area: ai_ml86 definition: 'Research whose object is a transformer-based language model trained at scale: pre-training, instruction tuning, prompting and in-context learning, reasoning, retrieval augmentation, efficient inference, evaluation and benchmarks of LLMs. Excludes classical NLP tasks solved with small task-specific models (nlp) and non-language foundation models (foundation_models).'87 openalex_topics:88 - id: T1002889 weight: 1.090 note: 'OpenAlex cluster hosting BERT / pre-trained LM / RAG / QA work: the de-facto LLM topic'91 - id: T1171492 weight: 0.493 note: multimodal LLMs and vision-language models94 - id: T1203195 weight: 0.396 note: dialogue systems, LLM chatbots97 - id: T1018198 weight: 0.399 note: NLP techniques incl. neural MT and NLG100 - id: T12128101 weight: 0.3102 note: chatbots in service interactions103 - id: T14414104 weight: 0.2105 note: 'AI in education: mostly ChatGPT studies post-2023'106 openalex_subfields:107 - id: 1702108 weight: 0.2109 arxiv_categories:110 - id: cs.CL111 weight: 0.5112 - id: cs.AI113 weight: 0.2114 - id: cs.LG115 weight: 0.2116 dblp_streams:117 - key: conf/acl118 weight: 0.5119 - key: conf/emnlp120 weight: 0.5121 - key: conf/naacl122 weight: 0.5123 - key: conf/eacl124 weight: 0.4125 - key: conf/coling126 weight: 0.4127 - key: journals/tacl128 weight: 0.5129 - key: conf/iclr130 weight: 0.3131 - key: conf/nips132 weight: 0.3133 - key: conf/icml134 weight: 0.3135 - key: journals/tmlr136 weight: 0.3137 - key: conf/aaai138 weight: 0.2139 - key: conf/nlpcc140 weight: 0.3141 keywords:142 - pattern: (?i)\blarge language models?\b143 weight: 1.0144 field: both145 - pattern: (?i)\bLLMs?\b146 weight: 1.0147 field: both148 - pattern: (?i)\b(ChatGPT|GPT-?3(\.5)?|GPT-?4o?|GPT-?4\.\d|GPT-?5|LLaMA|Llama-? ?[234]|PaLM|InstructGPT|Qwen|Vicuna|Mixtral|DeepSeek-?(V\d|R1)|Claude ?[34]|Gemini ?(Pro|Ultra|1\.5|2))\b149 weight: 1.0150 field: both151 - pattern: (?i)\bpre-?trained language models?\b|\bPLMs?\b152 weight: 0.7153 field: both154 - pattern: (?i)\b(instruction[- ]tuning|instruction-?tuned|in-?context learning|chain[- ]of[- ]thought|retrieval[- ]augmented generation|RAG\b|prompt (engineering|tuning|learning)|prompting|RLHF|supervised fine-?tuning|SFT\b)\b155 weight: 0.8156 field: both157 - pattern: (?i)\b(masked|autoregressive|causal|decoder-?only|encoder-?decoder) language model158 weight: 0.7159 field: both160 - pattern: (?i)\b(language model|transformer) (pre-?training|scaling|scaling laws?)\b161 weight: 0.7162 field: both163 - pattern: (?i)\b(parameter-?efficient fine-?tuning|PEFT\b|LoRA\b|adapters? for (language|LLM))\b164 weight: 0.6165 field: both166 - pattern: (?i)\bBERT\b|\bRoBERTa\b|\bT5\b|\bBART\b167 weight: 0.6168 field: both169 - pattern: (?i)\bhallucinat(ion|ions|e|es|ing)\b170 weight: 0.5171 field: both172 - pattern: (?i)\blanguage models?\b173 weight: 0.4174 field: both175 - pattern: (?i)\b(tokeni[sz](er|ation)|context (window|length)|KV[- ]cache|speculative decoding|mixture[- ]of[- ]experts)\b176 weight: 0.4177 field: both178 exclusions: []179 related:180 - foundation_models181 - nlp182 - generative_ai183 - ai_agents184 - ai_safety185 parent_of: []186 child_of:187 - foundation_models188 provenance: 'Topics chosen by inspecting OpenAlex keyword lists (T10028 lists BERT, pre-trained language models, retrieval-augmented generation). Venues: *CL conferences and ML venues at partial weight because LLM work is spread across them. Keyword patterns reach the threshold alone, as required for the six AI categories OpenAlex cannot separate.'189- id: foundation_models190 number: 2191 name: Foundation Models192 area: ai_ml193 definition: 'Large pre-trained models intended for adaptation to many downstream tasks in any modality: scaling laws, pre-training objectives, self-supervised representation learning at scale, transfer, fine-tuning and adapter methods, model releases and their evaluation. Language-specific work is llm (a child); vision-language work is multimodal_ai (a child).'194 openalex_topics:195 - id: T11307196 weight: 0.5197 note: domain adaptation, few-shot, parameter-efficient fine-tuning, continual learning198 - id: T11714199 weight: 0.4200 note: vision-language models / CLIP201 - id: T10028202 weight: 0.3203 note: pre-trained language models204 - id: T10036205 weight: 0.2206 note: backbone networks, model compression207 - id: T12422208 weight: 0.2209 note: foundation models in medical imaging / radiomics210 openalex_subfields:211 - id: 1702212 weight: 0.2213 arxiv_categories:214 - id: cs.LG215 weight: 0.4216 - id: cs.CV217 weight: 0.2218 - id: cs.CL219 weight: 0.2220 - id: cs.AI221 weight: 0.2222 dblp_streams:223 - key: conf/nips224 weight: 0.3225 - key: conf/icml226 weight: 0.3227 - key: conf/iclr228 weight: 0.3229 - key: journals/tmlr230 weight: 0.3231 - key: conf/cvpr232 weight: 0.2233 - key: conf/iccv234 weight: 0.2235 - key: conf/eccv236 weight: 0.2237 - key: journals/natmi238 weight: 0.2239 keywords:240 - pattern: (?i)\bfoundation models?\b|\bfoundational models?\b241 weight: 1.0242 field: both243 - pattern: (?i)\b(vision|visual|time[- ]series|protein|genomic|geospatial|medical|clinical|weather|climate|chemistry|molecular|tabular|graph|speech|audio|robotics?|world) foundation models?\b244 weight: 1.0245 field: both246 - pattern: (?i)\bscaling laws?\b247 weight: 0.8248 field: both249 - pattern: (?i)\b(self-?supervised|contrastive|masked) (pre-?training|representation learning|learning at scale)\b250 weight: 0.7251 field: both252 - pattern: (?i)\b(pre-?train(ed|ing)) (on|at) (web|internet|large|massive|billion)[- ]scale253 weight: 0.7254 field: both255 - pattern: (?i)\b(vision transformers?|ViT-?[BLHG]?|DINO(v2)?|segment anything|SAM ?2|masked auto-?encoders?|MAE\b|CLIP\b|SigLIP)\b256 weight: 0.6257 field: both258 - pattern: (?i)\b(general-?purpose|generalist|universal|all-?in-?one) (models?|agents?|representations?)\b259 weight: 0.6260 field: both261 - pattern: (?i)\b(transfer learning|fine-?tun(ing|ed?)|downstream tasks?|zero-?shot|few-?shot)\b262 weight: 0.4263 field: both264 - pattern: (?i)\b(adapters?|LoRA|parameter-?efficient|prompt tuning|emergent (abilities|capabilities))\b265 weight: 0.5266 field: both267 - pattern: (?i)\bworld models?\b268 weight: 0.5269 field: both270 exclusions: []271 related:272 - llm273 - multimodal_ai274 - generative_ai275 - deep_learning_architectures276 - ml_theory277 parent_of:278 - llm279 - multimodal_ai280 child_of: []281 provenance: No OpenAlex topic isolates foundation models; T11307 (PEFT, few-shot, continual) is the closest methodological host. Keyword patterns carry the category; the generic 'transfer learning/fine-tuning' terms are deliberately below threshold.282- id: multimodal_ai283 number: 3284 name: Multimodal AI285 area: ai_ml286 definition: 'Models and systems that jointly process two or more modalities (vision-language, audio-visual, video-text, 3D-language, sensors with language): vision-language models and multimodal LLMs, captioning, visual question answering, cross-modal retrieval and grounding. Unimodal vision is computer_vision; pure speech is speech_audio.'287 openalex_topics:288 - id: T11714289 weight: 1.0290 note: 'Multimodal Machine Learning Applications: VLMs, MLLMs, VQA, captioning'291 - id: T10627292 weight: 0.4293 note: image and video retrieval incl. cross-modal294 - id: T11439295 weight: 0.2296 note: video analysis and summarization297 - id: T10824298 weight: 0.2299 note: image retrieval and classification300 - id: T13155301 weight: 0.2302 note: digital communication and language (multimodal discourse)303 openalex_subfields:304 - id: 1707305 weight: 0.1306 arxiv_categories:307 - id: cs.MM308 weight: 0.6309 - id: cs.CV310 weight: 0.3311 - id: cs.CL312 weight: 0.3313 - id: cs.LG314 weight: 0.2315 dblp_streams:316 - key: conf/mm317 weight: 0.6318 - key: journals/tmm319 weight: 0.6320 - key: conf/icmi321 weight: 0.6322 - key: journals/tomccap323 weight: 0.5324 - key: conf/icmcs325 weight: 0.5326 - key: conf/mir327 weight: 0.5328 - key: journals/mms329 weight: 0.5330 - key: journals/mta331 weight: 0.3332 - key: conf/mmm333 weight: 0.5334 - key: journals/inffus335 weight: 0.2336 - key: conf/cvpr337 weight: 0.2338 - key: conf/iccv339 weight: 0.2340 - key: conf/eccv341 weight: 0.2342 - key: conf/acl343 weight: 0.2344 - key: conf/emnlp345 weight: 0.2346 keywords:347 - pattern: (?i)\bmulti-?modal(ity)?\b348 weight: 0.7349 field: both350 - pattern: (?i)\b(vision[- ]language|vision[- ]and[- ]language|visual[- ]language|language[- ]vision|image[- ]text|video[- ]language|audio[- ]language|speech[- ]language|3D[- ]language|text[- ]to[- ]3D)[- ]?(models?|pre-?training|tasks?|alignment|understanding|learning|reasoning|navigation|action|retrieval|generation)?\b351 weight: 1.0352 field: both353 - pattern: (?i)\b(VLMs?|MLLMs?|LVLMs?|LMMs?|VLAs?)\b354 weight: 1.0355 field: both356 - pattern: (?i)\bvisual question answering\b|\bVQA\b|\bvideo question answering\b357 weight: 1.0358 field: both359 - pattern: (?i)\b(image|video|dense|audio) captioning\b360 weight: 1.0361 field: both362 - pattern: (?i)\bcross-?modal(ity)?\b363 weight: 0.8364 field: both365 - pattern: (?i)\b(audio-?visual|visual grounding|referring expression|visual dialog|visual reasoning|visual instruction tuning|LLaVA|BLIP-?2?|Flamingo|GPT-?4V|CLIP|ALIGN\b|CoCa)\b366 weight: 0.8367 field: both368 - pattern: (?i)\b(text-to-image|text-to-video|image-to-text|text-image|image-text) (retrieval|alignment|matching|generation|models?)\b369 weight: 0.8370 field: both371 - pattern: (?i)\b(modalit(y|ies) (fusion|alignment|gap)|(early|late|intermediate) fusion of|sensor fusion with language)\b372 weight: 0.7373 field: both374 exclusions:375 - (?i)\bmultimodal (therapy|analgesi|treatment|intervention|pain|anesthesi|anaesthesi|imaging biomarkers?|prehabilitation|transport)\b376 related:377 - computer_vision378 - nlp379 - llm380 - speech_audio381 - generative_ai382 parent_of: []383 child_of:384 - foundation_models385 provenance: T11714 is the only OpenAlex topic centred on vision-language learning. Multimedia venues at partial weight (they also host unimodal media work). Medical 'multimodal' senses are vetoed.386- id: generative_ai387 number: 4388 name: Generative AI389 area: ai_ml390 definition: 'Models that synthesise new content (images, video, audio, 3D, text, code, molecules) and their training, sampling, evaluation, detection and misuse: GANs, VAEs, diffusion and flow models, autoregressive generators, text-to-X synthesis, deepfakes and AI-generated-content detection. LLM text generation as such is llm unless the contribution concerns the generative model or its outputs'' authenticity.'391 openalex_topics:392 - id: T10775393 weight: 1.0394 note: GANs, diffusion models, image/video generation395 - id: T12357396 weight: 0.5397 note: 'digital media forensics: deepfake detection'398 - id: T11349399 weight: 0.2400 note: music technology (music generation)401 - id: T10388402 weight: 0.2403 note: steganography / watermarking (of generated content)404 - id: T14254405 weight: 0.2406 note: digital media and visual art (AI art)407 openalex_subfields: []408 arxiv_categories:409 - id: cs.CV410 weight: 0.2411 - id: cs.LG412 weight: 0.3413 - id: cs.GR414 weight: 0.2415 - id: cs.SD416 weight: 0.1417 - id: cs.AI418 weight: 0.1419 - id: cs.MM420 weight: 0.1421 dblp_streams:422 - key: conf/nips423 weight: 0.2424 - key: conf/icml425 weight: 0.2426 - key: conf/iclr427 weight: 0.2428 - key: conf/cvpr429 weight: 0.2430 - key: conf/iccv431 weight: 0.2432 - key: conf/eccv433 weight: 0.2434 - key: conf/siggraph435 weight: 0.2436 - key: conf/siggrapha437 weight: 0.2438 - key: journals/tog439 weight: 0.1440 keywords:441 - pattern: (?i)\bgenerative (AI|artificial intelligence|models?|modell?ing|adversarial networks?|pre-?trained|design|art)\b|\bGenAI\b|\bAIGC\b442 weight: 1.0443 field: both444 - pattern: (?i)\bGANs?\b|\b(conditional|cycle|style|Wasserstein)GAN\b|\bStyleGAN\w*\b445 weight: 0.9446 field: both447 - pattern: (?i)\b(denoising diffusion|latent diffusion|stable diffusion|diffusion transformers?|DDPM|DDIM|score-?based generative|score matching|flow[- ]matching|rectified flow|normali[sz]ing flows?|consistency models?)\b448 weight: 1.0449 field: both450 - pattern: (?i)\bdiffusion models?\b451 weight: 0.8452 field: both453 - pattern: (?i)\btext-?to-?(image|video|3D|audio|speech|music|motion|SVG|scene)\b454 weight: 1.0455 field: both456 - pattern: (?i)\b(image|video|music|audio|speech|3D|motion|molecule|molecular|code|scene|face|avatar|talking[- ]head|layout|texture|graph) (generation|synthesis)\b457 weight: 0.7458 field: both459 - pattern: (?i)\bdeep-?fakes?\b|\bface swap(ping)?\b|\bsynthetic media\b460 weight: 1.0461 field: both462 - pattern: (?i)\bvariational auto-?encoders?\b|\bVAEs?\b|\bVQ-?VAE\b|\bVQGAN\b463 weight: 0.7464 field: both465 - pattern: (?i)\b(AI-?generated|machine-?generated|synthetic(ally)?[- ]generated|LLM-?generated) (content|images?|text|data|videos?|audio|art|code|faces)\b466 weight: 0.8467 field: both468 - pattern: (?i)\b(image (inpainting|outpainting|editing|to-image translation)|style transfer|super-?resolution|image restoration|controllable generation|ControlNet|DreamBooth|textual inversion|classifier-?free guidance|Midjourney|DALL-?E|Imagen|Sora)\b469 weight: 0.6470 field: both471 - pattern: (?i)\bautoregressive (models?|generation|image|video)\b472 weight: 0.5473 field: both474 exclusions:475 - (?is)^(?!.*(generative|GANs?\b|synthesis|generation|deepfake|VAE|AI-?generated)).*\b(drug|gas|molecular|thermal|anomalous|reaction-?|water|heat|ion|oxygen|particle|turbulent|surface|solute|vapou?r) diffusion\b476 - (?is)^(?!.*(generative|GANs?\b|synthesis|generation|deepfake|VAE|AI-?generated)).*\bdiffusion (coefficients?|tensor|MRI|weighted|equations?|process(es)?|of innovations?|limited)\b477 related:478 - llm479 - multimodal_ai480 - computer_vision481 - computer_graphics482 - foundation_models483 - speech_audio484 parent_of: []485 child_of: []486 provenance: T10775 keywords explicitly list GANs, diffusion models, Stable Diffusion, text-to-image. Physics/finance senses of 'diffusion' are vetoed only when no generative-modelling term is present.487- id: ai_agents488 number: 5489 name: AI Agents and Autonomous Systems490 area: ai_ml491 definition: 'Software agents that perceive, decide and act with some autonomy: LLM-based agents and tool use, multi-agent systems, planning and automated reasoning for acting, agent architectures, negotiation, agentic workflows and benchmarks, embodied agents in simulated environments. Physical robots are robotics; RL algorithms as such are reinforcement_learning.'492 openalex_topics:493 - id: T10456494 weight: 1.0495 note: 'Multi-Agent Systems and Negotiation: BDI, agent architectures, argumentation'496 - id: T10906497 weight: 0.6498 note: AI-based problem solving and planning (PDDL, multi-agent planning)499 - id: T11574500 weight: 0.4501 note: AI in games (game-playing agents)502 - id: T10249503 weight: 0.3504 note: distributed control of multi-agent systems (control-theoretic MAS)505 - id: T12128506 weight: 0.2507 note: chatbots and service agents508 openalex_subfields:509 - id: 1702510 weight: 0.1511 arxiv_categories:512 - id: cs.MA513 weight: 1.0514 - id: cs.AI515 weight: 0.4516 dblp_streams:517 - key: conf/atal518 weight: 1.0519 - key: conf/ifaamas520 weight: 1.0521 - key: journals/aamas522 weight: 1.0523 - key: conf/icaart524 weight: 0.6525 - key: conf/aaai526 weight: 0.2527 - key: conf/ijcai528 weight: 0.2529 - key: journals/jair530 weight: 0.2531 - key: journals/ai532 weight: 0.2533 - key: conf/kr534 weight: 0.2535 - key: conf/ecai536 weight: 0.3537 - key: conf/ecai2538 weight: 0.3539 - key: conf/ictai540 weight: 0.2541 keywords:542 - pattern: (?i)\b(LLM|language[- ]model|AI|autonomous|intelligent|embodied|conversational|software|web|GUI|coding|browsing|tool-?using|generative|multi-?step|computer-?use|research|planning)[- ](based |powered |driven )?agents?\b543 weight: 1.0544 field: both545 - pattern: (?i)\bagentic\b|\bagent-?based (LLM|AI|systems?|frameworks?|workflows?)\b546 weight: 1.0547 field: both548 - pattern: (?i)\bmulti-?agent (systems?|reinforcement|collaboration|coordination|negotiation|planning|simulation|frameworks?|debate|learning|path finding|communication|environments?)\b|\bMAS\b|\bMARL\b549 weight: 1.0550 field: both551 - pattern: (?i)\b(tool (use|using|learning|calling|augmented|integration)|function calling|API calling|ReAct|AutoGPT|AutoGen|LangChain|LangGraph|CrewAI|MetaGPT|SWE-?agent|SWE-?bench|WebArena|AgentBench|OSWorld|Model Context Protocol|MCP servers?)\b552 weight: 1.0553 field: both554 - pattern: (?i)\b(BDI|belief-?desire-?intention) (agents?|architectures?|models?)\b|\bagent-?oriented (programming|software engineering)\b555 weight: 1.0556 field: both557 - pattern: (?i)\b(automated|classical|hierarchical|task|AI|temporal|epistemic) planning\b|\bPDDL\b|\btask (decomposition|and motion planning)\b558 weight: 0.7559 field: both560 - pattern: (?i)\bagent-?based (model(ing|s)?|simulations?)\b|\bABM\b561 weight: 0.6562 field: both563 - pattern: (?i)\b(autonomous systems?|autonomy|self-?driving|self-?improving|self-?evolving|long-?horizon (tasks?|planning)|memory (module|mechanism|augmented) (for|in) agents?)\b564 weight: 0.5565 field: both566 - pattern: (?i)\b(game[- ]playing|general game|AlphaGo|AlphaZero|MuZero|OpenAI Five|AlphaStar|CICERO|Diplomacy)\b567 weight: 0.6568 field: both569 exclusions:570 - (?i)\b(reagents?|chemical|contrast|therapeutic|antimicrobial|chelating|reducing|oxidi[sz]ing|pharmacological|anti-?cancer|infectious|causative|etiologic(al)?|biological|pathogenic|anesthetic|anaesthetic|alkylating|cross-?linking|blowing|surface-?active|wetting|coupling|cytotoxic|antiviral|antibacterial|antifungal|bleaching|dispersing|sweetening|flavou?ring|leavening|real estate|travel|insurance|customs|shipping|sports|literary|secret|double|free|special) agents?\b571 related:572 - llm573 - reinforcement_learning574 - robotics575 - ai_safety576 - autonomous_scientific_discovery577 parent_of: []578 child_of: []579 provenance: T10456 is the classical MAS host; the LLM-agent wave has no OpenAlex topic yet, so keyword patterns on 'X agent' (with the qualifier restricted to computing senses) and agent frameworks/benchmarks carry it. Chemical/medical/commercial senses of 'agent' are vetoed.580- id: reinforcement_learning581 number: 6582 name: Reinforcement Learning583 area: ai_ml584 definition: 'Learning to act from reward signals: value- and policy-based methods, model-based RL, offline and inverse RL, multi-agent RL, bandits, exploration, reward design, RL from human feedback, and RL theory. Applications to robot control are shared with robotics.'585 openalex_topics:586 - id: T10462587 weight: 1.0588 note: 'Reinforcement Learning in Robotics: Q-learning, PPO, offline RL, imitation learning'589 - id: T12794590 weight: 0.5591 note: adaptive dynamic programming control592 - id: T11574593 weight: 0.3594 note: AI in games595 - id: T10100596 weight: 0.1597 note: metaheuristic optimisation (RL-based hyper-heuristics)598 openalex_subfields: []599 arxiv_categories:600 - id: cs.LG601 weight: 0.3602 - id: cs.AI603 weight: 0.2604 - id: cs.RO605 weight: 0.1606 - id: eess.SY607 weight: 0.1608 - id: cs.MA609 weight: 0.1610 dblp_streams:611 - key: conf/nips612 weight: 0.2613 - key: conf/icml614 weight: 0.2615 - key: conf/iclr616 weight: 0.2617 - key: conf/corl618 weight: 0.3619 - key: conf/aaai620 weight: 0.1621 - key: journals/jmlr622 weight: 0.1623 - key: conf/atal624 weight: 0.2625 - key: journals/tnn626 weight: 0.1627 keywords:628 - pattern: (?i)\breinforcement learning\b629 weight: 1.0630 field: both631 - pattern: (?i)\b(deep|multi-?agent|offline|online|inverse|model-?based|model-?free|safe|hierarchical|meta|batch|distributional|constrained|goal-?conditioned|preference-?based|federated|quantum)[- ]RL\b632 weight: 1.0633 field: both634 - pattern: (?i)\b(Q-?learning|DQN|double DQN|Rainbow DQN|PPO|proximal policy optimi[sz]ation|TRPO|actor-?critic|A3C|A2C|SAC\b|soft actor-?critic|TD3|DDPG|policy gradients?|REINFORCE|AlphaZero|MuZero|Dreamer(V\d)?|decision transformers?|world models? for (control|RL|planning))\b635 weight: 1.0636 field: both637 - pattern: (?i)\bMarkov decision process(es)?\b|\bMDPs?\b|\bPOMDPs?\b|\bsemi-?MDP\b|\bDec-?POMDP\b638 weight: 0.8639 field: both640 - pattern: (?i)\b(reward (functions?|shaping|models?|hacking|design|learning|signals?)|sparse rewards?|exploration[- ]exploitation|intrinsic (motivation|rewards?)|curiosity-?driven|multi-?armed bandits?|contextual bandits?|credit assignment|experience replay|sim-?to-?real)\b641 weight: 0.8642 field: both643 - pattern: (?i)\b(imitation learning|behavio(u)?r(al)? cloning|learning from demonstrations?|inverse reinforcement|apprenticeship learning|offline (policy|data) (evaluation|learning))\b644 weight: 0.8645 field: both646 - pattern: (?i)\b(RLHF|RLAIF|reinforcement learning from (human|AI) feedback|GRPO|DPO\b|direct preference optimi[sz]ation|RLVR|reasoning models? trained with|verifiable rewards?)\b647 weight: 0.8648 field: both649 - pattern: (?i)\b(temporal[- ]difference|value (functions?|iteration)|policy (iteration|evaluation|optimi[sz]ation|learning)|Bellman|dynamic programming for control|optimal control via learning|regret bounds? for (MDP|RL))\b650 weight: 0.6651 field: both652 - pattern: (?i)\b(agents?|policies|policy|environments?|episodes?|rollouts?)\b653 weight: 0.2654 field: both655 exclusions:656 - (?i)\breinforcement (of|in|for) (concrete|steel|soil|composites?|polymers?|fib(er|re)s?|masonry|beams?|slabs?|pavements?)\b(?!.*reinforcement learning)657 related:658 - ai_agents659 - robotics660 - ml_theory661 - ai_safety662 - llm663 parent_of: []664 child_of: []665 provenance: T10462 is the RL topic (its keywords list MARL, Q-learning, PPO, offline RL). Algorithm names reach the threshold alone.666- id: ml_theory667 number: 7668 name: Machine Learning Theory669 area: ai_ml670 definition: 'Statistical and computational learning theory and principled ML methodology: generalisation and sample complexity, optimisation theory for learning, kernel and Bayesian methods, probabilistic models, causal inference, online learning, PAC learning, interpretability and fairness as formal problems. Architecture engineering is deep_learning_architectures.'671 openalex_topics:672 - id: T12072673 weight: 1.0674 note: 'Machine Learning and Algorithms: PAC learning, generalisation bounds, VC dimension'675 - id: T11612676 weight: 0.8677 note: stochastic gradient optimisation, NTK, implicit regularisation678 - id: T12814679 weight: 0.7680 note: Gaussian processes and Bayesian inference681 - id: T11303682 weight: 0.6683 note: Bayesian modelling and causal inference684 - id: T10845685 weight: 0.5686 note: advanced causal inference techniques687 - id: T11901688 weight: 0.5689 note: Bayesian methods and mixture models690 - id: T12535691 weight: 0.4692 note: ML and data classification (SVM, ensembles)693 - id: T10637694 weight: 0.4695 note: clustering algorithms696 - id: T12026697 weight: 0.4698 note: explainable AI699 - id: T12536700 weight: 0.4701 note: topological and geometric data analysis702 - id: T11652703 weight: 0.3704 note: imbalanced classification705 - id: T11689706 weight: 0.3707 note: adversarial robustness (certified robustness)708 - id: T10963709 weight: 0.3710 note: advanced optimisation algorithms711 - id: T12761712 weight: 0.3713 note: data stream mining (concept drift)714 - id: T12205715 weight: 0.3716 note: time series forecasting717 - id: T13373718 weight: 0.2719 note: data mining and ML applications720 - id: T12676721 weight: 0.2722 note: extreme learning machines723 - id: T11512724 weight: 0.6725 note: anomaly detection techniques and applications726 - id: T10820727 weight: 0.3728 note: fuzzy logic and control systems (soft computing)729 - id: T11063730 weight: 0.3731 note: rough sets and fuzzy logic (granular computing, feature selection)732 openalex_subfields:733 - id: 1702734 weight: 0.3735 arxiv_categories:736 - id: stat.ML737 weight: 0.8738 - id: cs.LG739 weight: 0.4740 - id: math.ST741 weight: 0.3742 - id: math.OC743 weight: 0.2744 dblp_streams:745 - key: conf/colt746 weight: 1.0747 - key: conf/alt748 weight: 1.0749 - key: journals/jmlr750 weight: 0.8751 - key: conf/aistats752 weight: 0.8753 - key: conf/uai754 weight: 0.8755 - key: journals/ml756 weight: 0.6757 - key: journals/tmlr758 weight: 0.4759 - key: conf/nips760 weight: 0.3761 - key: conf/icml762 weight: 0.3763 - key: conf/iclr764 weight: 0.2765 - key: journals/tnn766 weight: 0.3767 - key: journals/nn768 weight: 0.3769 - key: journals/pr770 weight: 0.2771 - key: conf/pkdd772 weight: 0.3773 - key: conf/kdd774 weight: 0.2775 - key: conf/icdm776 weight: 0.2777 - key: journals/pami778 weight: 0.2779 - key: journals/ijar780 weight: 0.4781 - key: journals/sac782 weight: 0.4783 - key: journals/csda784 weight: 0.3785 - key: journals/cstat786 weight: 0.2787 - key: journals/eswa788 weight: 0.1789 - key: journals/kbs790 weight: 0.1791 - key: journals/isci792 weight: 0.1793 - key: journals/ijon794 weight: 0.2795 - key: journals/nca796 weight: 0.1797 - key: journals/mlc798 weight: 0.3799 - key: journals/apin800 weight: 0.2801 - key: journals/air802 weight: 0.2803 - key: conf/ecai804 weight: 0.3805 - key: conf/ecai2806 weight: 0.3807 - key: conf/icmla808 weight: 0.5809 - key: conf/ssci810 weight: 0.4811 - key: conf/ictai812 weight: 0.3813 - key: conf/icic814 weight: 0.3815 - key: conf/aciids816 weight: 0.2817 - key: conf/kes818 weight: 0.2819 - key: journals/tcyb820 weight: 0.3821 - key: journals/tsmc822 weight: 0.2823 - key: journals/tfs824 weight: 0.3825 - key: journals/fss826 weight: 0.3827 - key: conf/fuzzIEEE828 weight: 0.3829 - key: journals/ijfs830 weight: 0.3831 - key: journals/jifs832 weight: 0.2833 - key: journals/ijis834 weight: 0.3835 - key: journals/ijcisys836 weight: 0.3837 - key: journals/comintsys838 weight: 0.3839 - key: journals/es840 weight: 0.3841 - key: journals/iasc842 weight: 0.2843 - key: journals/inffus844 weight: 0.3845 - key: journals/eaai846 weight: 0.2847 keywords:848 - pattern: (?i)\b(generali[sz]ation (bounds?|error|gap|theory)|sample complexity|regret (bounds?|minimi[sz]ation|analysis)|minimax (rates?|optimal|lower)|PAC(-Bayes(ian)?)?( learning| bounds?)?|Rademacher|VC[- ]dimension|convergence (rates?|guarantees?|analysis)|statistical learning theory|computational learning theory|learnability|uniform convergence|excess risk)\b849 weight: 0.9850 field: both851 - pattern: (?i)\b(kernel (methods?|machines?|ridge|mean embedding)|reproducing kernel|RKHS|Gaussian process(es)?|variational inference|Bayesian (optimi[sz]ation|neural networks?|inference|deep learning|nonparametric)|probabilistic (models?|programming|graphical)|graphical models?|expectation[- ]maximi[sz]ation|Markov chain Monte Carlo|MCMC|Hamiltonian Monte Carlo|normali[sz]ing flows? for inference|conformal prediction|calibration)\b852 weight: 0.8853 field: both854 - pattern: (?i)\bcausal (inference|discovery|representation learning|effect estimation|structure learning|machine learning)\b|\bcounterfactual (reasoning|inference|fairness)\b|\bstructural causal models?\b|\btreatment effect\b855 weight: 0.8856 field: both857 - pattern: (?i)\b(online learning|bandits?|stochastic (gradient|optimi[sz]ation|approximation)|non-?convex optimi[sz]ation|convex optimi[sz]ation for learning|implicit (bias|regulari[sz]ation)|gradient (descent|flow) dynamics|saddle points?|loss landscapes?|mirror descent|optimal transport|Wasserstein)\b858 weight: 0.6859 field: both860 - pattern: (?i)\b(double descent|neural tangent kernel|NTK\b|lottery ticket|over-?parameteri[sz](ed|ation)|benign overfitting|grokking|feature learning (regime|theory)|mean-?field (limit|theory) of neural|infinite-?width|random features?)\b861 weight: 1.0862 field: both863 - pattern: (?i)\b(interpretab(le|ility)|explainab(le|ility)) (machine learning|AI|models?|methods?)\b|\bXAI\b|\bSHAP\b|\bLIME\b|\bfeature attribution\b|\bsaliency maps? for\b864 weight: 0.5865 field: both866 - pattern: (?i)\b(fairness (constraints?|metrics?|in machine learning)|algorithmic fairness|demographic parity|equali[sz]ed odds|fair (classification|representation))\b867 weight: 0.5868 field: both869 - pattern: (?i)\b(semi-?supervised|self-?supervised|unsupervised|active|transfer|meta|continual|lifelong|few-?shot|zero-?shot|multi-?task|weakly[- ]supervised|positive-?unlabeled|contrastive|representation|manifold|metric|dictionary|ensemble|boosting|bagging) learning\b870 weight: 0.4871 field: both872 - pattern: (?i)\b(distribution shift|out-?of-?distribution|domain generali[sz]ation|covariate shift|label noise|robust(ness)? (to|under|against) (noise|shift|corruption)|concept drift|anomaly detection|outlier detection|imbalanced (data|learning|classification)|dimensionality reduction|matrix (completion|factori[sz]ation)|tensor (decomposition|methods?)|sparse (coding|recovery)|compressed sensing)\b873 weight: 0.5874 field: both875 - pattern: (?i)\b(support vector machines?|SVMs?|random forests?|gradient boosting|XGBoost|LightGBM|k-?means|spectral clustering|Gaussian mixture|hidden Markov models?|HMMs?|logistic regression|decision trees?|nearest neighbou?rs?|kNN)\b876 weight: 0.5877 field: both878 - pattern: (?i)\bmachine learning\b|\bstatistical learning\b|\blearning theory\b879 weight: 0.4880 field: both881 exclusions: []882 related:883 - deep_learning_architectures884 - reinforcement_learning885 - algorithms886 - computational_complexity887 - ai_safety888 - foundation_models889 parent_of: []890 child_of: []891 provenance: 'Hosts classical ML and its theory: OpenAlex splits them across T12072 (learning theory), T11612 (optimisation), T12814/T11303/T11901 (Bayesian), T12535/T10637 (classical methods). Venue weights follow venue purity (COLT/ALT/JMLR/AISTATS/UAI strong; NeurIPS/ICML partial).'892- id: deep_learning_architectures893 number: 8894 name: Deep Learning Architectures895 area: ai_ml896 definition: 'Design, training and compression of neural network architectures as such: CNNs, RNNs, transformers and attention, graph neural networks, state-space models, normalisation and optimisers in practice, neural architecture search, pruning, quantisation and distillation, neuromorphic and spiking networks as models. Task-specific results go to the application category; hardware goes to ai_accelerators.'897 openalex_topics:898 - id: T10320899 weight: 1.0900 note: 'Neural Networks and Applications: training, architectures, activation functions'901 - id: T11273902 weight: 1.0903 note: Advanced Graph Neural Networks904 - id: T10036905 weight: 0.5906 note: 'Advanced Neural Network Applications: YOLO, lightweight networks, model compression'907 - id: T12676908 weight: 0.5909 note: extreme learning machines910 - id: T12611911 weight: 0.4912 note: reservoir computing / echo state networks913 - id: T11612914 weight: 0.3915 note: DNN training optimisation916 - id: T11347917 weight: 0.3918 note: neural network stability and synchronisation919 - id: T11307920 weight: 0.3921 note: PEFT and continual learning for deep nets922 - id: T12205923 weight: 0.2924 note: time-series forecasting with deep nets925 - id: T10502926 weight: 0.2927 note: neuromorphic computing (spiking models)928 - id: T11206929 weight: 0.2930 note: model reduction and neural networks931 openalex_subfields:932 - id: 1702933 weight: 0.3934 arxiv_categories:935 - id: cs.NE936 weight: 1.0937 - id: cs.LG938 weight: 0.5939 - id: cs.CV940 weight: 0.1941 - id: cs.AI942 weight: 0.1943 dblp_streams:944 - key: conf/iclr945 weight: 0.5946 - key: conf/nips947 weight: 0.4948 - key: conf/icml949 weight: 0.4950 - key: journals/tnn951 weight: 0.6952 - key: journals/nn953 weight: 0.6954 - key: conf/ijcnn955 weight: 0.6956 - key: journals/ijon957 weight: 0.5958 - key: journals/nca959 weight: 0.5960 - key: conf/icann961 weight: 0.6962 - key: conf/iconip963 weight: 0.5964 - key: journals/npl965 weight: 0.5966 - key: conf/esann967 weight: 0.5968 - key: journals/tmlr969 weight: 0.3970 - key: journals/pami971 weight: 0.2972 - key: journals/cin973 weight: 0.3974 - key: journals/tetci975 weight: 0.3976 - key: journals/tai977 weight: 0.3978 - key: journals/ficn979 weight: 0.2980 - key: journals/cogcom981 weight: 0.2982 - key: journals/aisy983 weight: 0.1984 - key: conf/aaai985 weight: 0.1986 keywords:987 - pattern: (?i)\b(deep|convolutional|recurrent|graph|spiking|artificial|feed-?forward|residual|siamese|capsule|physics-?informed|liquid|binary|quanti[sz]ed|Hopfield|Kolmogorov-?Arnold) neural networks?\b988 weight: 0.8989 field: both990 - pattern: (?i)\b(CNNs?|RNNs?|LSTMs?|GRUs?|GNNs?|GCNs?|GATs?|SNNs?|MLPs?|DNNs?|ANNs?|KANs?|ResNets?|DenseNet|EfficientNet|MobileNet|U-?Net|ViTs?|Swin)\b991 weight: 0.7992 field: both993 - pattern: (?i)\btransformers?\b994 weight: 0.5995 field: both996 - pattern: (?i)\b(self-?|cross-?|multi-?head |sparse |linear |flash)?attention (mechanisms?|heads?|layers?|maps?|weights)\b|\battention is all\b997 weight: 0.7998 field: both999 - pattern: (?i)\bneural architecture search\b|\bNAS\b.*\b(architecture|search space|supernet)\b|\bdifferentiable architecture search\b|\bgraph neural networks?\b|\bnetwork architectures? (design|for deep learning)\b|\barchitectures? of (deep|convolutional|recurrent) neural\b|\bdeep (neural )?network (architectures?|design|compression)\b1000 weight: 1.01001 field: both1002 - pattern: (?i)\bAutoML\b|\bhyper-?parameter optimi[sz]ation\b1003 weight: 0.61004 field: both1005 - pattern: (?i)\b(model compression|knowledge distillation|network pruning|structured pruning|unstructured pruning|post-?training quanti[sz]ation|quanti[sz]ation-?aware training|low-?rank (factori[sz]ation|approximation) of (weights|layers)|weight sharing|parameter sharing|lightweight (networks?|architectures?|models?)|efficient (architectures?|networks?|transformers?))\b1006 weight: 0.81007 field: both1008 - pattern: (?i)\b(batch|layer|group|instance|weight|spectral) normali[sz]ation\b|\bdropout\b|\bresidual (connections?|learning|blocks?)\b|\bskip connections?\b|\bactivation functions?\b|\bReLU\b|\bGELU\b|\bSwiGLU\b|\bsoftmax\b1009 weight: 0.71010 field: both1011 - pattern: (?i)\b(mixture[- ]of[- ]experts|MoE\b|state[- ]space models?|SSMs?\b|Mamba|S4\b|RWKV|Hyena|linear (RNNs?|transformers?)|positional (encodings?|embeddings?)|RoPE|rotary|hypernetworks?|neural ODEs?|implicit (layers|neural representations?)|capsule networks?|equivariant (networks?|neural)|geometric deep learning|message passing (neural|networks?)|graph (convolution|attention|transformers?|pooling)|over-?smoothing)\b1012 weight: 0.91013 field: both1014 - pattern: (?i)\b(backpropagation|back-?prop|gradient (vanishing|exploding)|learning rate (schedul|warm-?up)|Adam(W)?\b|optimi[sz]ers? for (deep|neural)|weight (decay|initiali[sz]ation)|training (dynamics|instabilit)|loss functions? for|curriculum learning|data augmentation|mixup|CutMix|label smoothing|early stopping|hyper-?parameter (tuning|optimi[sz]ation))\b1015 weight: 0.71016 field: both1017 - pattern: (?i)\bdeep learning\b|\bneural networks?\b|\bneural nets?\b1018 weight: 0.51019 field: both1020 - pattern: (?i)\b(spiking|neuromorphic|reservoir computing|echo state|extreme learning machines?|ELM\b)\b1021 weight: 0.51022 field: both1023 exclusions:1024 - (?is)^(?!.*(neural|deep learning|attention|language model|vision|encoder|decoder)).*\b(power|distribution|current|voltage|instrument|high-?voltage|dry-?type|oil-?immersed|pulse|flyback|isolation|phase-?shifting|step-?(up|down)) transformers?\b1025 related:1026 - ml_theory1027 - computer_vision1028 - nlp1029 - ai_accelerators1030 - foundation_models1031 - llm1032 parent_of: []1033 child_of: []1034 provenance: T10320 and T11273 are architecture-centred OpenAlex topics; cs.NE is the arXiv home of neural and evolutionary computation. 'Transformer' alone is weak and electrical senses are vetoed when no learning term co-occurs.1035- id: computer_vision1036 number: 91037 name: Computer Vision1038 area: perception_interaction1039 definition: 'Extracting information from images, video and 3D data: recognition, detection, segmentation, tracking, pose, depth and 3D reconstruction, image restoration and enhancement, medical and remote-sensing image analysis, visual representation learning. Image synthesis is generative_ai; vision-language is multimodal_ai; rendering is computer_graphics.'1040 openalex_topics:1041 - id: T100361042 weight: 1.01043 note: object detection, segmentation, YOLO1044 - id: T105311045 weight: 1.01046 note: advanced vision and imaging1047 - id: T103311048 weight: 1.01049 note: video surveillance and tracking1050 - id: T114481051 weight: 1.01052 note: face recognition1053 - id: T100571054 weight: 1.01055 note: face and expression recognition1056 - id: T108121057 weight: 1.01058 note: human pose and action recognition1059 - id: T125491060 weight: 1.01061 note: image and object detection1062 - id: T116051063 weight: 1.01064 note: visual attention and saliency1065 - id: T143391066 weight: 1.01067 note: image processing and 3D reconstruction1068 - id: T106011069 weight: 0.81070 note: handwritten text recognition1071 - id: T108241072 weight: 0.81073 note: image retrieval and classification1074 - id: T110191075 weight: 0.81076 note: image enhancement1077 - id: T111051078 weight: 0.81079 note: advanced image processing1080 - id: T114391081 weight: 0.81082 note: video analysis and summarization1083 - id: T129231084 weight: 0.81085 note: digital image processing1086 - id: T135791087 weight: 0.81088 note: image and video stabilization1089 - id: T121111090 weight: 0.81091 note: industrial vision and defect detection1092 - id: T100521093 weight: 0.71094 note: medical image segmentation1095 - id: T106881096 weight: 0.71097 note: image and signal denoising1098 - id: T106271099 weight: 0.71100 note: image and video retrieval1101 - id: T111651102 weight: 0.71103 note: image and video quality assessment1104 - id: T131141105 weight: 0.71106 note: image processing techniques1107 - id: T104441108 weight: 0.61109 note: context-aware activity recognition1110 - id: T106891111 weight: 0.61112 note: remote-sensing image classification1113 - id: T116591114 weight: 0.61115 note: image fusion1116 - id: T124221117 weight: 0.51118 note: radiomics and ML in medical imaging1119 - id: T129831120 weight: 0.51121 note: satellite image processing and photogrammetry1122 - id: T128591123 weight: 0.51124 note: cell image analysis1125 - id: T107191126 weight: 0.51127 note: 3D shape modeling and analysis1128 - id: T113981129 weight: 0.51130 note: hand gesture recognition1131 - id: T143191132 weight: 0.51133 note: currency recognition1134 - id: T105221135 weight: 0.41136 note: medical imaging techniques1137 - id: T123571138 weight: 0.41139 note: digital media forensics1140 - id: T117141141 weight: 0.41142 note: multimodal (vision-language)1143 - id: T117071144 weight: 0.41145 note: gaze tracking1146 - id: T107751147 weight: 0.31148 note: GANs and image synthesis1149 - id: T108881150 weight: 0.31151 note: augmented reality1152 - id: T109011153 weight: 0.31154 note: advanced data compression (image)1155 - id: T107411156 weight: 0.31157 note: video coding1158 - id: T103881159 weight: 0.31160 note: steganography and watermarking1161 - id: T110171162 weight: 0.21163 note: chaos-based image encryption1164 - id: T128741165 weight: 0.41166 note: digital imaging for blood diseases1167 - id: T106381168 weight: 0.21169 note: optical measurement and interference1170 - id: T137591171 weight: 0.31172 note: medical imaging and pathology1173 openalex_subfields:1174 - id: 17071175 weight: 0.51176 arxiv_categories:1177 - id: cs.CV1178 weight: 1.01179 - id: eess.IV1180 weight: 0.61181 dblp_streams:1182 - key: conf/cvpr1183 weight: 1.01184 - key: conf/iccv1185 weight: 1.01186 - key: conf/eccv1187 weight: 1.01188 - key: conf/wacv1189 weight: 1.01190 - key: conf/bmvc1191 weight: 1.01192 - key: conf/accv1193 weight: 1.01194 - key: conf/iccvw1195 weight: 1.01196 - key: conf/fgr1197 weight: 1.01198 - key: conf/3dim1199 weight: 1.01200 - key: journals/ijcv1201 weight: 1.01202 - key: journals/cviu1203 weight: 1.01204 - key: journals/ivc1205 weight: 1.01206 - key: journals/mva1207 weight: 1.01208 - key: journals/pami1209 weight: 0.81210 - key: journals/tip1211 weight: 0.81212 - key: conf/icip1213 weight: 0.81214 - key: conf/icpr1215 weight: 0.81216 - key: conf/icdar1217 weight: 0.81218 - key: conf/visapp1219 weight: 0.81220 - key: conf/prcv1221 weight: 0.81222 - key: journals/tcsv1223 weight: 0.71224 - key: journals/iet-ipr1225 weight: 0.71226 - key: journals/jrtip1227 weight: 0.71228 - key: journals/pr1229 weight: 0.61230 - key: journals/prl1231 weight: 0.61232 - key: journals/jvcir1233 weight: 0.61234 - key: journals/sivp1235 weight: 0.61236 - key: journals/jimaging1237 weight: 0.61238 - key: conf/miccai1239 weight: 0.61240 - key: journals/mia1241 weight: 0.61242 - key: journals/tmi1243 weight: 0.51244 - key: conf/isbi1245 weight: 0.51246 - key: journals/paa1247 weight: 0.51248 - key: journals/tci1249 weight: 0.51250 - key: journals/imst1251 weight: 0.51252 - key: journals/cmig1253 weight: 0.51254 - key: journals/spic1255 weight: 0.51256 - key: journals/jei1257 weight: 0.51258 - key: journals/cars1259 weight: 0.41260 - key: journals/bmcmi1261 weight: 0.41262 - key: journals/ijprai1263 weight: 0.51264 - key: journals/tgrs1265 weight: 0.31266 - key: conf/igarss1267 weight: 0.21268 - key: journals/remotesensing1269 weight: 0.21270 - key: journals/lgrs1271 weight: 0.31272 - key: journals/staeors1273 weight: 0.21274 - key: conf/vcip1275 weight: 0.61276 - key: conf/icmcs1277 weight: 0.31278 - key: conf/mm1279 weight: 0.21280 - key: journals/mta1281 weight: 0.31282 - key: conf/ivs1283 weight: 0.31284 - key: journals/tits1285 weight: 0.11286 - key: journals/jdi1287 weight: 0.31288 - key: journals/jmihi1289 weight: 0.31290 - key: conf/bmei1291 weight: 0.41292 - key: journals/displays1293 weight: 0.21294 - key: conf/icpram1295 weight: 0.51296 - key: journals/cg1297 weight: 0.21298 keywords:1299 - pattern: (?i)\bcomputer vision\b|\bmachine vision\b|\bvision (models?|transformers?|tasks?|backbones?|systems?)\b1300 weight: 1.01301 field: both1302 - pattern: (?i)\b(object|face|facial|pedestrian|vehicle|action|activity|pose|gesture|scene|visual|image|video|person|text|lane|landmark|anomaly in video|salient object) (detection|recognition|tracking|re-?identification|classification|segmentation|understanding|retrieval|estimation|parsing|captioning|matting)\b1303 weight: 0.81304 field: both1305 - pattern: (?i)\b(semantic|instance|panoptic|medical image|image|video|3D|point[- ]cloud|interactive|few-?shot|open-?vocabulary) segmentation\b1306 weight: 1.01307 field: both1308 - pattern: (?i)\b(point clouds?|optical flow|depth (estimation|completion)|stereo (matching|vision)|3D reconstruction|structure[- ]from[- ]motion|SfM\b|multi-?view (stereo|geometry)|NeRF|neural radiance fields?|Gaussian splatting|visual (SLAM|odometry|localization)|camera (pose|calibration)|epipolar|homography|feature (matching|descriptors?)|SIFT|keypoints?)\b1309 weight: 1.01310 field: both1311 - pattern: (?i)\b(image|video) (processing|enhancement|denoising|restoration|deblurring|dehazing|super-?resolution|quality assessment|registration|retrieval|classification|synthesis|inpainting|compression|coding|forensics|fusion|stitching|matting|colori[sz]ation|harmoni[sz]ation)\b|\bvideo (surveillance|understanding|analysis|summari[sz]ation|prediction|anomaly)\b1312 weight: 0.81313 field: both1314 - pattern: (?i)\b(convolutional neural networks?|CNNs?|YOLO\w*|R-?CNN|Mask R-?CNN|DETR|U-?Net|ViTs?|vision transformers?|Swin|ResNet|VGG|backbone networks?|feature pyramid|anchor-?free|non-?maximum suppression|IoU\b|mAP\b|COCO|ImageNet|Pascal VOC|KITTI|nuScenes|Cityscapes|ADE20K)\b1315 weight: 0.61316 field: both1317 - pattern: (?i)\b(medical imag(e|es|ing)|radiomics|histopatholog|whole-?slide|retinal (image|fundus)|OCT (image|scan)|MRI|CT (scans?|images?)|X-?ray (images?|classification)|ultrasound (image|video)|mammogra|dermoscop|endoscop|colonoscop|microscopy images?)\b1318 weight: 0.51319 field: both1320 - pattern: (?i)\b(saliency|visual attention|OCR|optical character recognition|handwrit|scene text|document (image|layout|understanding)|license plate|biometrics?|iris recognition|fingerprint|gait recognition|crowd counting|human parsing|6-?DoF pose|hand pose|body pose|facial (landmarks?|expression|attributes?)|deepfake detection|face anti-?spoofing|remote sensing (images?|scene)|hyperspectral (image|classification)|SAR (images?|target)|change detection in|aerial imag|satellite imag|UAV imag)\b1321 weight: 0.81322 field: both1323 - pattern: (?i)\b(self-?supervised visual|contrastive visual|visual representation|visual features?|image embeddings?|visual recognition|visual perception|pixel-?wise|pixel-?level|bounding box(es)?|RGB-?D|LiDAR (point|perception|segmentation|detection)|BEV (perception|features?|segmentation)|bird'?s-?eye view|autonomous driving perception|3D (object detection|detection|perception|vision|human))\b1324 weight: 0.81325 field: both1326 - pattern: (?i)\b(images?|visual|pixels?|cameras?|videos?)\b1327 weight: 0.21328 field: both1329 exclusions: []1330 related:1331 - multimodal_ai1332 - computer_graphics1333 - robotics1334 - deep_learning_architectures1335 - generative_ai1336 - computational_biology1337 parent_of: []1338 child_of: []1339 provenance: All 35 topics of OpenAlex subfield 1707 reviewed; those that are image/video-centred receive 0.5-1.0, media/compression/encryption topics are shared at low weight; relevant Engineering (22) remote-sensing topics and Medicine imaging topics added at partial weight. cs.CV is a sufficient signal.1340- id: nlp1341 number: 101342 name: Natural Language Processing1343 area: perception_interaction1344 definition: 'Computational processing of human language: machine translation, parsing and tagging, information extraction, sentiment and text classification, summarisation, question answering, dialogue, text mining, computational linguistics, low-resource and multilingual NLP, NLP evaluation and resources. LLM-centred work is llm (also classified here when the task framing dominates).'1345 openalex_topics:1346 - id: T101811347 weight: 1.01348 note: 'NLP techniques: MT, parsing, NLU/NLG'1349 - id: T106641350 weight: 1.01351 note: sentiment analysis and opinion mining1352 - id: T115501353 weight: 1.01354 note: text and document classification1355 - id: T136291356 weight: 1.01357 note: text readability and simplification1358 - id: T130831359 weight: 0.81360 note: advanced text analysis1361 - id: T123801362 weight: 0.81363 note: authorship attribution and profiling1364 - id: T117101365 weight: 0.81366 note: biomedical text mining and ontologies1367 - id: T122621368 weight: 0.71369 note: hate speech detection1370 - id: T100281371 weight: 0.61372 note: topic modeling / pre-trained LMs1373 - id: T120311374 weight: 0.61375 note: speech and dialogue systems1376 - id: T139101377 weight: 0.51378 note: computational and text analysis methods1379 - id: T136231380 weight: 0.41381 note: linguistic studies and language acquisition1382 - id: T102151383 weight: 0.41384 note: semantic web and ontologies1385 - id: T132741386 weight: 0.41387 note: expert finding and Q&A1388 - id: T110101389 weight: 0.31390 note: logic, reasoning and knowledge representation1391 - id: T100341392 weight: 0.31393 note: syntax, semantics, linguistic variation1394 - id: T116441395 weight: 0.31396 note: spam and phishing detection (text)1397 - id: T111471398 weight: 0.31399 note: misinformation1400 - id: T120161401 weight: 0.31402 note: web data mining and analysis1403 - id: T131551404 weight: 0.31405 note: digital communication and language1406 - id: T123531407 weight: 0.21408 note: lexicography and language studies1409 - id: T133101410 weight: 0.21411 note: subtitles and audiovisual media1412 openalex_subfields:1413 - id: 17021414 weight: 0.11415 arxiv_categories:1416 - id: cs.CL1417 weight: 1.01418 - id: cs.IR1419 weight: 0.11420 dblp_streams:1421 - key: conf/acl1422 weight: 1.01423 - key: conf/emnlp1424 weight: 1.01425 - key: conf/naacl1426 weight: 1.01427 - key: conf/eacl1428 weight: 1.01429 - key: conf/coling1430 weight: 1.01431 - key: journals/tacl1432 weight: 1.01433 - key: journals/coling1434 weight: 1.01435 - key: conf/lrec1436 weight: 1.01437 - key: conf/semeval1438 weight: 1.01439 - key: conf/wmt1440 weight: 1.01441 - key: conf/nlpcc1442 weight: 1.01443 - key: journals/talip1444 weight: 1.01445 - key: conf/wassa1446 weight: 1.01447 - key: conf/sepln1448 weight: 0.81449 - key: journals/csl1450 weight: 0.61451 - key: journals/taslp1452 weight: 0.51453 - key: conf/clef1454 weight: 0.51455 - key: journals/ipm1456 weight: 0.31457 - key: conf/dihu1458 weight: 0.31459 - key: conf/dhd1460 weight: 0.31461 - key: conf/interspeech1462 weight: 0.21463 - key: conf/aaai1464 weight: 0.11465 - key: conf/ijcai1466 weight: 0.11467 - key: journals/kbs1468 weight: 0.11469 - key: journals/eswa1470 weight: 0.11471 - key: conf/cikm1472 weight: 0.21473 - key: conf/www1474 weight: 0.11475 - key: journals/jasis1476 weight: 0.21477 - key: conf/cogsci1478 weight: 0.21479 keywords:1480 - pattern: (?i)\bnatural language (processing|understanding|generation|inference|interfaces?)\b|\bNLP\b|\bNLU\b|\bNLG\b|\bNLI\b1481 weight: 1.01482 field: both1483 - pattern: (?i)\b(machine translation|neural machine translation|NMT\b|named entity recognition|NER\b|part-?of-?speech|POS tagging|dependency parsing|constituency parsing|coreference resolution|word embeddings?|word2vec|GloVe|sentiment analysis|opinion mining|aspect-?based sentiment|text (classification|summari[sz]ation|generation|mining|simplification|normali[sz]ation|clustering|retrieval)|abstractive summari[sz]ation|extractive summari[sz]ation|question answering|reading comprehension|relation extraction|event extraction|information extraction|semantic (parsing|role labeling|similarity|textual similarity)|textual entailment|language identification|tokeni[sz]ation|lemmati[sz]ation|stemming|word sense disambiguation|grammatical error correction|spell(ing)? correction|discourse (parsing|analysis)|argument mining|keyphrase extraction|topic model(ing|s)|LDA\b|latent Dirichlet)\b1484 weight: 1.01485 field: both1486 - pattern: (?i)\b(computational linguistics|corpus linguistics|treebanks?|low-?resource languages?|multilingual|cross-?lingual|code-?switching|morpholog(y|ical) (analysis|segmentation)|lexical (semantics|resources?)|WordNet|language resources?|annotated corp(us|ora)|inter-?annotator)\b1487 weight: 0.81488 field: both1489 - pattern: (?i)\b(dialogue (systems?|state tracking|generation|management|acts?)|task-?oriented dialogue|open-?domain dialogue|chatbots?|conversational (AI|agents?|systems?|search))\b1490 weight: 0.71491 field: both1492 - pattern: (?i)\b(hate speech|fake news|misinformation|rumou?r|stance|sarcasm|irony|emotion|humou?r|offensive language|toxic(ity)?|propaganda|clickbait|authorship) (detection|classification|identification|recognition|attribution|analysis)\b1493 weight: 0.81494 field: both1495 - pattern: (?i)\b(language models?|BERT|GPT|transformers?|sequence-?to-?sequence|seq2seq|encoder-?decoder|attention)\b1496 weight: 0.31497 field: both1498 - pattern: (?i)\b(knowledge graph|ontolog(y|ies)|semantic web|entity linking|knowledge base) (completion|embedding|construction|population|question answering|alignment|learning)?\b1499 weight: 0.41500 field: both1501 - pattern: (?i)\b(text|texts|textual|linguistic|lexical|syntactic|semantic|sentences?|words?|documents?|corpus|corpora|language)\b1502 weight: 0.21503 field: both1504 exclusions: []1505 related:1506 - llm1507 - speech_audio1508 - information_retrieval1509 - multimodal_ai1510 - computational_biology1511 parent_of: []1512 child_of: []1513 provenance: OpenAlex 1702 language topics (T10181, T10664, T11550, T13083, T12380, T13629, T12262) plus biomedical text mining (field 13) and social-science text topics. *CL venues are the strongest venue signal in the whole ontology (ACL Anthology coverage).1514- id: speech_audio1515 number: 111516 name: Speech and Audio Computing1517 area: perception_interaction1518 definition: 'Processing and generation of speech, music and general audio: speech recognition and synthesis, speaker and language recognition, enhancement and separation, spoken language understanding, music information retrieval and generation, audio event detection, neural audio codecs. Text-only dialogue is nlp.'1519 openalex_topics:1520 - id: T102011521 weight: 1.01522 note: speech recognition and synthesis1523 - id: T108601524 weight: 1.01525 note: speech and audio processing1526 - id: T113091527 weight: 1.01528 note: music and audio processing1529 - id: T113491530 weight: 0.61531 note: music technology and sound studies1532 - id: T114471533 weight: 0.61534 note: blind source separation1535 - id: T120311536 weight: 0.51537 note: speech and dialogue systems1538 - id: T108631539 weight: 0.31540 note: voice and speech disorders1541 - id: T110341542 weight: 0.21543 note: digital filter design1544 - id: T109311545 weight: 0.21546 note: direction-of-arrival estimation (microphone arrays)1547 - id: T109411548 weight: 0.11549 note: musicology1550 openalex_subfields:1551 - id: 17111552 weight: 0.21553 arxiv_categories:1554 - id: eess.AS1555 weight: 1.01556 - id: cs.SD1557 weight: 1.01558 - id: cs.CL1559 weight: 0.11560 - id: eess.SP1561 weight: 0.11562 dblp_streams:1563 - key: conf/interspeech1564 weight: 1.01565 - key: journals/taslp1566 weight: 1.01567 - key: journals/speech1568 weight: 1.01569 - key: conf/slt1570 weight: 1.01571 - key: conf/asru1572 weight: 1.01573 - key: journals/csl1574 weight: 0.81575 - key: conf/icassp1576 weight: 0.51577 - key: conf/apsipa1578 weight: 0.31579 - key: conf/eusipco1580 weight: 0.31581 - key: journals/spl1582 weight: 0.21583 - key: journals/sigpro1584 weight: 0.21585 - key: journals/dsp1586 weight: 0.21587 - key: journals/jstsp1588 weight: 0.21589 - key: journals/cssp1590 weight: 0.11591 - key: conf/mm1592 weight: 0.11593 - key: journals/tmm1594 weight: 0.11595 keywords:1596 - pattern: (?i)\bspeech (recognition|synthesis|enhancement|separation|processing|emotion|translation|coding|to text|to speech|language models?|foundation models?|representations?|technolog(y|ies)|signals?|corpus|corpora|data)\b|\btext-?to-?speech\b|\bTTS\b|\bASR\b|\bspeech-?to-?text\b1597 weight: 1.01598 field: both1599 - pattern: (?i)\b(automatic speech|spoken (language|dialogue|term|question)|speaker (recognition|verification|identification|diarization|embeddings?|adaptation)|voice (conversion|cloning|assistants?|activity detection|biometrics|synthesis)|keyword spotting|wake[- ]word|acoustic (model(s|ing)?|scene|event|features?|echo)|phonemes?|phonetic|prosod(y|ic)|intonation|lip[- ]reading|audio-?visual speech|dysarthri|pathological speech|whisper(ed)? speech)\b1600 weight: 1.01601 field: both1602 - pattern: (?i)\b(audio|music|sound|acoustic) (classification|generation|synthesis|tagging|retrieval|processing|understanding|event detection|source separation|representation|captioning|language models?|foundation models?|codecs?|signals?|features?|embeddings?)\b1603 weight: 1.01604 field: both1605 - pattern: (?i)\b(music information retrieval|MIR\b|music (transcription|recommendation|generation|genre|emotion|structure|similarity)|singing voice|beat tracking|chord (recognition|estimation)|melody extraction|symbolic music|MIDI|audio (signal|watermark|deepfake|anti-?spoofing)|microphone arrays?|beamforming for speech|hearing aids?|cochlear|room (impulse|acoustics)|reverberation|dereverberation|noise suppression|sound event|environmental sound|bird (song|call) (detection|classification)|bioacoustic|wav2vec|Whisper\b|HuBERT|WavLM|WaveNet|vocoders?|HiFi-?GAN|spectrograms?|mel[- ]spectrogram|MFCCs?|EnCodec|SoundStream)\b1606 weight: 0.91607 field: both1608 - pattern: (?i)\b(speech|audio|acoustic|speaker|music|voice|sound|auditory|phonological)\b1609 weight: 0.31610 field: both1611 exclusions: []1612 related:1613 - nlp1614 - multimodal_ai1615 - generative_ai1616 - llm1617 parent_of: []1618 child_of: []1619 provenance: OpenAlex T10201/T10860/T11309 and the eess.AS/cs.SD arXiv pair; INTERSPEECH/TASLP strong, ICASSP partial (shared with signal processing).1620- id: robotics1621 number: 121622 name: Robotics1623 area: perception_interaction1624 definition: 'Machines that sense and act in the physical world: manipulation, locomotion, motion and path planning, SLAM and localisation, robot learning, human-robot interaction, autonomous vehicles and drones as robotic systems, soft and swarm robotics, teleoperation. RL algorithms are reinforcement_learning; robotic process automation and surgical-outcome studies are excluded.'1625 openalex_topics:1626 - id: T105861627 weight: 1.01628 note: robotic path planning1629 - id: T106531630 weight: 1.01631 note: robot manipulation and learning1632 - id: T101911633 weight: 1.01634 note: robotics and sensor-based localization1635 - id: T107091636 weight: 1.01637 note: social robot interaction and HRI1638 - id: T108791639 weight: 1.01640 note: robotic locomotion and control1641 - id: T116151642 weight: 1.01643 note: control and dynamics of mobile robots1644 - id: T105711645 weight: 0.81646 note: robotic mechanisms and dynamics1647 - id: T108681648 weight: 0.81649 note: soft robotics1650 - id: T133821651 weight: 0.81652 note: robotics and automated systems1653 - id: T127841654 weight: 0.81655 note: modular robots and swarm intelligence1656 - id: T116871657 weight: 0.71658 note: teleoperation and haptic systems1659 - id: T110991660 weight: 0.71661 note: autonomous vehicle technology and safety1662 - id: T110231663 weight: 0.61664 note: prosthetics and rehabilitation robotics1665 - id: T111331666 weight: 0.61667 note: UAV applications1668 - id: T104621669 weight: 0.51670 note: reinforcement learning in robotics1671 - id: T102491672 weight: 0.51673 note: distributed control multi-agent (multi-robot)1674 - id: T143351675 weight: 0.51676 note: educational robotics1677 - id: T114861678 weight: 0.51679 note: micro and nano robotics1680 - id: T113251681 weight: 0.41682 note: inertial sensor and navigation1683 - id: T121581684 weight: 0.31685 note: guidance and control systems1686 - id: T108051687 weight: 0.21688 note: vehicle dynamics and control1689 - id: T111921690 weight: 0.31691 note: underwater vehicles1692 - id: T105251693 weight: 0.21694 note: human-automation interaction1695 openalex_subfields: []1696 arxiv_categories:1697 - id: cs.RO1698 weight: 1.01699 - id: eess.SY1700 weight: 0.21701 - id: cs.SY1702 weight: 0.21703 dblp_streams:1704 - key: conf/icra1705 weight: 1.01706 - key: conf/iros1707 weight: 1.01708 - key: journals/ral1709 weight: 1.01710 - key: conf/rss1711 weight: 1.01712 - key: conf/corl1713 weight: 1.01714 - key: journals/trob1715 weight: 1.01716 - key: journals/ijrr1717 weight: 1.01718 - key: journals/arobots1719 weight: 1.01720 - key: journals/ras1721 weight: 1.01722 - key: journals/jirs1723 weight: 1.01724 - key: journals/robotica1725 weight: 1.01726 - key: journals/jfr1727 weight: 1.01728 - key: conf/humanoids1729 weight: 1.01730 - key: conf/robio1731 weight: 1.01732 - key: conf/hri1733 weight: 1.01734 - key: journals/ijsr1735 weight: 1.01736 - key: conf/ro-man1737 weight: 1.01738 - key: conf/icira1739 weight: 1.01740 - key: journals/firai1741 weight: 1.01742 - key: journals/finr1743 weight: 1.01744 - key: journals/robotics1745 weight: 1.01746 - key: journals/ar1747 weight: 1.01748 - key: journals/jrm1749 weight: 1.01750 - key: conf/rcar1751 weight: 1.01752 - key: conf/icarm1753 weight: 1.01754 - key: conf/biorob1755 weight: 1.01756 - key: conf/robosoft1757 weight: 1.01758 - key: conf/aimech1759 weight: 0.81760 - key: conf/sii1761 weight: 0.81762 - key: conf/case1763 weight: 0.61764 - key: conf/icarcv1765 weight: 0.61766 - key: journals/rcim1767 weight: 0.61768 - key: conf/icinco1769 weight: 0.61770 - key: journals/tiv1771 weight: 0.51772 - key: conf/ivs1773 weight: 0.51774 - key: journals/tase1775 weight: 0.51776 - key: conf/itsc1777 weight: 0.31778 - key: journals/tits1779 weight: 0.21780 - key: conf/cdc1781 weight: 0.11782 - key: journals/tcst1783 weight: 0.11784 - key: conf/amcc1785 weight: 0.11786 keywords:1787 - pattern: (?i)\brobot(s|ic|ics|ically)?\b|\bcobots?\b1788 weight: 1.01789 field: both1790 - pattern: (?i)\b(manipulat(ion|ors?)|grasp(ing|s)?|dexterous|motion planning|path planning|trajectory (planning|optimi[sz]ation)|SLAM\b|simultaneous locali[sz]ation|visual servoing|legged|quadrupeds?|bipeds?|humanoids?|exoskeletons?|end-?effectors?|teleoperation|telerobot|kinematics|inverse dynamics|whole-?body control|locomotion)\b1791 weight: 0.81792 field: both1793 - pattern: (?i)\b(autonomous (driving|vehicles?|navigation|systems?|mobile|underwater|aerial|ground)|self-?driving|UAVs?|UGVs?|AUVs?|drones?|quadrotors?|quadcopters?|unmanned (aerial|ground|surface|underwater)|multi-?robot|swarm robot)\b1794 weight: 0.71795 field: both1796 - pattern: (?i)\b(human-?robot|embodied (AI|agents?|intelligence|learning)|sim-?to-?real|imitation learning|learning from demonstration|vision-?language-?action|VLA models?|robot(ic)? foundation models?|RT-?[12]\b|Open-?X Embodiment|diffusion polic(y|ies)|affordance|tactile sensing|force control|compliance control|soft (actuators?|grippers?))\b1797 weight: 0.81798 field: both1799 exclusions:1800 - (?i)\brobotic process automation\b|\bRPA\b1801 - (?is)^(?!.*(algorithm|control|planning|learning|sensor|kinematic|autonom|simulation|software|system design)).*\brobot(ic)?-?assisted (surgery|prostatectomy|hysterectomy|laparoscop\w+|thoracic|radical|gastrectomy|colectomy|nephrectomy|cystectomy)\b1802 related:1803 - reinforcement_learning1804 - computer_vision1805 - ai_agents1806 - hci1807 - edge_computing1808 parent_of: []1809 child_of: []1810 provenance: OpenAlex spreads robotics over CS 1707 (path planning), Engineering 2202/2204/2207 (manipulation, locomotion, mobile robots) and Psychology 3207 (HRI); all reviewed. 'robot' is unambiguous enough to be a 1.0 keyword.1811- id: hci1812 number: 131813 name: Human-Computer Interaction1814 area: perception_interaction1815 definition: 'Design, evaluation and understanding of interactive systems and their users: user studies and usability, interaction techniques, VR/AR/XR, accessibility and assistive technology, CSCW and social computing, human-AI interaction, ubiquitous and wearable computing, affective computing. Rendering is computer_graphics; physical robots are robotics.'1816 openalex_topics:1817 - id: T104701818 weight: 1.01819 note: usability and user interface design1820 - id: T106481821 weight: 1.01822 note: virtual reality applications1823 - id: T107891824 weight: 1.01825 note: interactive and immersive displays1826 - id: T108031827 weight: 1.01828 note: innovative human-technology interaction1829 - id: T117071830 weight: 0.81831 note: gaze tracking and assistive technology1832 - id: T140741833 weight: 0.81834 note: persona design1835 - id: T108881836 weight: 0.81837 note: augmented reality applications1838 - id: T138741839 weight: 0.81840 note: information architecture and usability1841 - id: T113981842 weight: 0.71843 note: hand gesture recognition1844 - id: T105251845 weight: 0.71846 note: human-automation interaction and safety1847 - id: T107091848 weight: 0.51849 note: social robot interaction1850 - id: T117041851 weight: 0.51852 note: mobile crowdsensing and crowdsourcing1853 - id: T116871854 weight: 0.51855 note: teleoperation and haptics1856 - id: T104291857 weight: 0.51858 note: EEG and brain-computer interfaces1859 - id: T121281860 weight: 0.41861 note: AI in service interactions (chatbot UX)1862 - id: T131551863 weight: 0.41864 note: digital communication and language1865 - id: T109141866 weight: 0.31867 note: tactile and sensory interactions1868 - id: T119021869 weight: 0.31870 note: intelligent tutoring systems1871 - id: T104441872 weight: 0.31873 note: context-aware activity recognition (ubicomp)1874 - id: T122601875 weight: 0.21876 note: educational technology1877 - id: T111221878 weight: 0.21879 note: online learning and analytics1880 - id: T138071881 weight: 0.21882 note: cultural insights and digital impacts1883 - id: T123381884 weight: 0.21885 note: digital literacy1886 - id: T141141887 weight: 0.21888 note: digital media and philosophy1889 openalex_subfields:1890 - id: 17091891 weight: 0.61892 arxiv_categories:1893 - id: cs.HC1894 weight: 1.01895 - id: cs.CY1896 weight: 0.21897 - id: cs.SI1898 weight: 0.11899 dblp_streams:1900 - key: conf/chi1901 weight: 1.01902 - key: conf/uist1903 weight: 1.01904 - key: conf/cscw1905 weight: 1.01906 - key: journals/pacmhci1907 weight: 1.01908 - key: journals/tochi1909 weight: 1.01910 - key: journals/ijmms1911 weight: 1.01912 - key: journals/ijhci1913 weight: 1.01914 - key: conf/iui1915 weight: 1.01916 - key: conf/ACMdis1917 weight: 1.01918 - key: conf/vr1919 weight: 1.01920 - key: conf/ismar1921 weight: 1.01922 - key: journals/vr1923 weight: 1.01924 - key: conf/huc1925 weight: 1.01926 - key: journals/imwut1927 weight: 1.01928 - key: conf/assets1929 weight: 1.01930 - key: conf/interact1931 weight: 1.01932 - key: conf/mc1933 weight: 1.01934 - key: conf/tei1935 weight: 1.01936 - key: conf/acmidc1937 weight: 1.01938 - key: conf/etra1939 weight: 1.01940 - key: journals/behaviourIT1941 weight: 1.01942 - key: journals/interactions1943 weight: 1.01944 - key: conf/hci1945 weight: 0.81946 - key: journals/chb1947 weight: 0.61948 - key: conf/ahfe1949 weight: 0.61950 - key: conf/icmi1951 weight: 0.61952 - key: journals/taffco1953 weight: 0.61954 - key: journals/displays1955 weight: 0.51956 - key: journals/cbsn1957 weight: 0.41958 - key: journals/nms1959 weight: 0.31960 - key: conf/hri1961 weight: 0.31962 - key: journals/ile1963 weight: 0.31964 - key: journals/tvcg1965 weight: 0.21966 - key: journals/ce1967 weight: 0.21968 - key: journals/eait1969 weight: 0.21970 - key: conf/um1971 weight: 0.31972 - key: journals/entcom1973 weight: 0.51974 - key: conf/cig1975 weight: 0.31976 - key: journals/tele1977 weight: 0.21978 - key: conf/icwsm1979 weight: 0.31980 - key: journals/ijim1981 weight: 0.31982 - key: journals/jaihc1983 weight: 0.21984 - key: conf/percom1985 weight: 0.31986 - key: conf/cscwd1987 weight: 0.31988 keywords:1989 - pattern: (?i)\bhuman-?computer interaction\b|\bHCI\b|\bCSCW\b|\bcomputer-?supported cooperative\b|\buser-?centered design\b|\bhuman factors\b1990 weight: 1.01991 field: both1992 - pattern: (?i)\b(user (study|studies|experience|interfaces?|engagement|perception|acceptance|needs|research|testing|feedback)|usability (study|testing|evaluation)?|UX\b|UI (design|components)|participatory design|co-?design|design (fiction|probes?|implications|space|guidelines)|think-?aloud|Wizard[- ]of[- ]Oz|formative (study|evaluation)|within-?subjects?|between-?subjects?|Likert|System Usability Scale|SUS\b|NASA-?TLX)\b1993 weight: 0.81994 field: both1995 - pattern: (?i)\b(virtual|augmented|mixed|extended) reality\b|\bVR\b|\bXR\b|\bhead-?mounted\b|\bimmersive\b|\bmetaverse\b|\bHMDs?\b|\btelepresence\b|\bcybersickness\b|\bpresence (in|and) VR\b1996 weight: 0.81997 field: both1998 - pattern: (?i)\b(accessibilit(y|ies)|assistive technolog(y|ies)|eye[- ]tracking|gaze(-based)?|gestures?|gestural|haptics?|tangible|wearables?|smart ?watch|brain-?computer interfaces?|BCI\b|affective computing|emotion recognition for interaction|screen readers?|blind (users|people)|visually impaired|older adults|children'?s? (interaction|technology)|neurodivergent)\b1999 weight: 0.72000 field: both2001 - pattern: (?i)\b(human-?AI (interaction|collaboration|teaming|co-?creation)|human-?in-?the-?loop|human-?centered AI|explanation interfaces?|conversational (user )?interfaces?|voice (user )?interfaces?|chatbot (design|user)|interactive machine learning|mixed-?initiative|AI-?assisted (writing|design|creativity)|trust in (AI|automation|robots))\b2002 weight: 0.82003 field: both2004 - pattern: (?i)\b(interaction (design|techniques?|paradigms?|modalit)|interactive (systems?|visuali[sz]ation|prototypes?|installations?)|user interfaces?|GUIs?\b|touch(screen| input| interaction)|pen input|mid-?air|gaze input|input (devices?|techniques?)|text entry|target acquisition|Fitts)\b2005 weight: 0.82006 field: both2007 - pattern: (?i)\b(ubiquitous computing|pervasive computing|ubicomp|context-?aware(ness)?|smart (homes?|environments?)|ambient (intelligence|assisted)|activity recognition (from|using|with) (wearable|smartphone|sensors?)|mobile (interaction|HCI|users?)|notifications?|digital well-?being|persuasive technolog|serious games?|gamification|player experience|game (design|user research))\b2008 weight: 0.72009 field: both2010 - pattern: (?i)\b(social computing|social media (use|users|platforms?)|online communit(y|ies)|crowdsourcing|crowd ?workers?|Mechanical Turk|content creators?|misinformation (on|and) (social|platforms)|online harassment|moderation practices|collaborative (work|writing|tools)|remote (work|collaboration)|computer-?mediated communication)\b2011 weight: 0.62012 field: both2013 - pattern: (?i)\b(qualitative (study|analysis|interviews?)|interview study|semi-?structured interviews?|thematic analysis|grounded theory|focus groups?|diary study|ethnograph|participants (reported|described|were recruited)|N\s?=\s?\d+ participants)\b2014 weight: 0.52015 field: both2016 - pattern: (?i)\b(users?|participants?|interaction|interactive|interfaces?|design)\b2017 weight: 0.22018 field: both2019 exclusions: []2020 related:2021 - computer_graphics2022 - robotics2023 - ai_safety2024 - multimodal_ai2025 - software_engineering2026 - information_retrieval2027 parent_of: []2028 child_of: []2029 provenance: All 8 topics of OpenAlex subfield 1709 mapped; supporting topics from Psychology (human-automation), Neuroscience (BCI) and education technology at low weight. CHI/UIST/CSCW/PACM HCI/TOCHI are near-pure venues.2030- id: software_engineering2031 number: 142032 name: Software Engineering2033 area: software_pl2034 definition: 'How software is specified, built, tested, maintained and studied: requirements, architecture, testing and debugging, program repair, mining software repositories, empirical studies of developers, DevOps, model-driven engineering, open-source ecosystems, and AI-assisted software development. Language design is programming_languages; proofs of correctness are formal_verification.'2035 openalex_topics:2036 - id: T104302037 weight: 1.02038 note: software engineering techniques and practices2039 - id: T102602040 weight: 1.02041 note: software engineering research2042 - id: T106392043 weight: 1.02044 note: advanced software engineering methodologies2045 - id: T107432046 weight: 1.02047 note: software testing and debugging2048 - id: T114502049 weight: 1.02050 note: model-driven software engineering2051 - id: T124232052 weight: 1.02053 note: software reliability and analysis2054 - id: T124902055 weight: 1.02056 note: software engineering and design patterns2057 - id: T116752058 weight: 0.82059 note: open source software2060 - id: T131972061 weight: 0.82062 note: spreadsheets and end-user computing2063 - id: T121272064 weight: 0.72065 note: software system performance, microservices, AIOps2066 - id: T106792067 weight: 0.72068 note: service-oriented architecture and web services2069 - id: T127992070 weight: 0.62071 note: mobile and web applications2072 - id: T126012073 weight: 0.52074 note: web applications and data management2075 - id: T105332076 weight: 0.42077 note: teaching and learning programming2078 - id: T119862079 weight: 0.42080 note: research software and scientific workflows2081 - id: T124792082 weight: 0.32083 note: web application security vulnerabilities2084 - id: T136502085 weight: 0.32086 note: Python scientific programming2087 - id: T101262088 weight: 0.22089 note: logic, programming and type systems2090 - id: T130342091 weight: 0.22092 note: information systems education and curriculum2093 - id: T136812094 weight: 0.12095 note: engineering and information technology2096 openalex_subfields:2097 - id: 17122098 weight: 0.52099 arxiv_categories:2100 - id: cs.SE2101 weight: 1.02102 dblp_streams:2103 - key: conf/icse2104 weight: 1.02105 - key: conf/sigsoft2106 weight: 1.02107 - key: conf/kbse2108 weight: 1.02109 - key: conf/issta2110 weight: 1.02111 - key: conf/msr2112 weight: 1.02113 - key: conf/icst2114 weight: 1.02115 - key: conf/saner2116 weight: 1.02117 - key: journals/tse2118 weight: 1.02119 - key: journals/tosem2120 weight: 1.02121 - key: journals/ese2122 weight: 1.02123 - key: journals/jss2124 weight: 1.02125 - key: journals/infsof2126 weight: 1.02127 - key: conf/re2128 weight: 1.02129 - key: conf/models2130 weight: 1.02131 - key: conf/issre2132 weight: 1.02133 - key: conf/qrs2134 weight: 1.02135 - key: journals/spe2136 weight: 1.02137 - key: journals/software2138 weight: 1.02139 - key: conf/caise2140 weight: 0.62141 - key: conf/compsac2142 weight: 0.62143 - key: journals/jossw2144 weight: 0.52145 - key: journals/softx2146 weight: 0.52147 - key: journals/aes2148 weight: 0.52149 - key: journals/csse2150 weight: 0.42151 - key: journals/tr2152 weight: 0.32153 - key: conf/dsn2154 weight: 0.32155 - key: journals/computing2156 weight: 0.32157 - key: conf/sac2158 weight: 0.22159 - key: journals/cacm2160 weight: 0.12161 - key: journals/computer2162 weight: 0.12163 - key: conf/icws2164 weight: 0.32165 - key: journals/tsc2166 weight: 0.32167 - key: conf/fedcsis2168 weight: 0.22169 - key: conf/gi2170 weight: 0.22171 - key: journals/ieicetd2172 weight: 0.12173 - key: journals/jsjkx2174 weight: 0.12175 - key: conf/iceis2176 weight: 0.32177 - key: conf/sigcse2178 weight: 0.22179 - key: conf/iticse2180 weight: 0.22181 keywords:2182 - pattern: (?i)\bsoftware (engineering|development|testing|maintenance|evolution|quality|defects?|bugs?|repositor(y|ies)|architectures?|design|reuse|process(es)?|product lines?|projects?|metrics|vulnerabilit(y|ies)|ecosystems?|supply chains?|requirements?|documentation|analytics|practitioners?|developers?|teams?|artifacts?|systems? engineering|verification and validation|reliability|security practices|refactoring|modernization|migration|libraries|dependencies)\b2183 weight: 1.02184 field: both2185 - pattern: (?i)\b(code (review|generation|completion|smells?|clones?|search|summari[sz]ation|comprehension|quality|coverage|readability|translation|refactoring|LLMs?)|program (repair|comprehension|synthesis|analysis|slicing)|bug (locali[sz]ation|fixing|reports?|prediction|detection|triage)|defect prediction|fault locali[sz]ation|test (generation|cases?|suites?|oracles?|flakiness|automation|prioriti[sz]ation|amplification)|unit tests?|fuzz(ing|ers?)|mutation testing|regression testing|continuous (integration|delivery|deployment)|DevOps|CI/CD|technical debt|refactoring|static analysis|dynamic analysis|GitHub|open[- ]source (projects?|software|development|communities)|Stack Overflow|pull requests?|commit (messages?|histor)|issue (tracking|reports?)|mining software|API (usage|misuse|evolution|documentation|recommendation)|build (systems?|failures?)|configuration (errors?|management)|infrastructure as code|logging practices|AIOps|incident management)\b2186 weight: 1.02187 field: both2188 - pattern: (?i)\b(agile|Scrum|Kanban|requirements engineering|user stories|model-?driven|MDE\b|UML\b|SysML|domain-?specific modeling|microservices?|monolith|low-?code|no-?code|end-?user (programming|development)|spreadsheets?|pair programming|code ownership|onboarding|developer (productivity|experience|tools|surveys?)|programmers?' )\b2189 weight: 0.82190 field: both2191 - pattern: (?i)\b(LLM|AI|automated|neural|learning)-?(based|assisted|powered|driven)? (software engineering|code generation|programming|program repair|test generation|code review|debugging)\b|\b(code|coding) (LLMs?|assistants?|models?|agents?)\b|\bCopilot\b|\bvibe coding\b|\bLLMs? for (code|software|programming|testing)\b|\bAI pair programm\w+\b|\bCodex\b|\bStarCoder\b|\bCodeLlama\b|\bHumanEval\b|\bMBPP\b|\bSWE-?bench\b2192 weight: 1.02193 field: both2194 - pattern: (?i)\b(developers?|programmers?|software|codebase|source code|programs?|debugging|testing|maintainab)\b2195 weight: 0.32196 field: both2197 exclusions: []2198 related:2199 - programming_languages2200 - formal_verification2201 - llm2202 - hci2203 - ai_agents2204 - operating_systems2205 parent_of: []2206 child_of: []2207 provenance: All 5 topics of OpenAlex subfield 1712 plus SE topics in 1702/1710 (T10639, T10430, T10260) and Social Sciences (T12490); ICSE/FSE/ASE/TSE/TOSEM/EMSE are the core venues; cs.SE suffices alone.2208- id: programming_languages2209 number: 152210 name: Programming Languages2211 area: software_pl2212 definition: 'Design, semantics, type systems and implementation principles of programming languages: type theory, operational and denotational semantics, functional and logic programming, effects, concurrency models, memory safety, domain-specific languages, program analysis as a language problem. Code generation and optimisation pipelines are compilers (a child); machine-checked correctness is formal_verification.'2213 openalex_topics:2214 - id: T101262215 weight: 1.02216 note: logic, programming and type systems2217 - id: T117272218 weight: 0.32219 note: advanced algebra and logic2220 - id: T115672221 weight: 0.22222 note: formal languages and automata2223 - id: T120022224 weight: 0.22225 note: computability and logic2226 - id: T105332227 weight: 0.22228 note: teaching and learning programming2229 - id: T131972230 weight: 0.22231 note: end-user programming2232 openalex_subfields: []2233 arxiv_categories:2234 - id: cs.PL2235 weight: 1.02236 - id: cs.LO2237 weight: 0.32238 - id: cs.FL2239 weight: 0.22240 dblp_streams:2241 - key: journals/pacmpl2242 weight: 1.02243 - key: conf/pldi2244 weight: 1.02245 - key: conf/oopsla2246 weight: 1.02247 - key: conf/esop2248 weight: 1.02249 - key: journals/toplas2250 weight: 1.02251 - key: journals/jfp2252 weight: 1.02253 - key: conf/fscd2254 weight: 0.82255 - key: conf/sas2256 weight: 0.62257 - key: journals/mscs2258 weight: 0.52259 - key: conf/ppopp2260 weight: 0.52261 - key: conf/concur2262 weight: 0.42263 - key: conf/csl2264 weight: 0.32265 - key: conf/lics2266 weight: 0.32267 - key: journals/lmcs2268 weight: 0.32269 - key: conf/cgo2270 weight: 0.32271 - key: conf/cc2272 weight: 0.32273 - key: journals/acta2274 weight: 0.32275 - key: conf/birthday2276 weight: 0.12277 - key: journals/tcs2278 weight: 0.12279 - key: journals/spe2280 weight: 0.22281 - key: journals/computing2282 weight: 0.12283 - key: conf/sigcse2284 weight: 0.12285 keywords:2286 - pattern: (?i)\bprogramming languages?\b|\blanguage (design|semantics|implementation|features?|constructs?|runtimes?)\b|\bPL (research|community|theory)\b2287 weight: 1.02288 field: both2289 - pattern: (?i)\btype (systems?|theory|inference|checking|safety|soundness|classes|errors?|annotations?|directed)\b|\b(dependent|gradual|refinement|session|linear|affine|effect|ownership|intersection|union|algebraic data|polymorphic|higher-?kinded|substructural) types?\b|\b(statically|dynamically)[- ]typed\b|\btyped (lambda|functional|assembly|languages?)\b2290 weight: 1.02291 field: both2292 - pattern: (?i)\b(lambda[- ]calculus|pi-?calculus|operational semantics|denotational semantics|axiomatic semantics|program semantics|abstract interpretation|separation logic|Hoare logic|category theory|monads?|monadic|algebraic effects|effect handlers|continuations?|CPS\b|Curry-?Howard|homotopy type theory|cubical|normali[sz]ation by evaluation|bidirectional typing|subtyping|parametricity|logical relations|step-?indexed|coinduction|abstract machines?)\b2293 weight: 1.02294 field: both2295 - pattern: (?i)\b(functional programming|logic programming|constraint logic programming|answer set programming|probabilistic programming languages?|reactive programming|dataflow programming|array programming|Haskell|OCaml|Standard ML|Scheme|Racket|Clojure|Erlang|Elixir|Scala|Prolog|Datalog|Coq|Agda|Idris|Lean 4|Rust|WebAssembly|Wasm|Kotlin|Swift|Julia|domain-?specific languages?|DSLs?|embedded DSL|metaprogramming|macros?|staging|multi-?stage programming|garbage collect(ion|ors?)|memory safety|unsafe (code|Rust)|borrow checker|ownership (types?|model)|smart contracts? languages?|language (interoperability|workbench)|parser (combinators?|generators?)|grammars? (for|of) programming)\b2296 weight: 0.92297 field: both2298 - pattern: (?i)\b(program (synthesis|analysis|verification|transformation|equivalence|slicing|refinement|calculation)|static analysis|dataflow analysis|points?-?to analysis|alias analysis|taint analysis|symbolic execution|partial evaluation|interpreters?|virtual machines? for|bytecode|intermediate language|runtime systems?|concurrency (primitives|models|bugs)|memory models?|weak memory|data races?|deadlock (detection|freedom)|software transactional memory|actors? model|async/await|coroutines?|exceptions? handling|gradual verification)\b2299 weight: 0.62300 field: both2301 - pattern: (?i)\b(syntax|semantics|compil\w+|interpret\w+|languages?|programs?|programming)\b2302 weight: 0.22303 field: both2304 exclusions: []2305 related:2306 - compilers2307 - formal_verification2308 - software_engineering2309 - computational_complexity2310 parent_of:2311 - compilers2312 child_of: []2313 provenance: T10126 is the single OpenAlex PL topic (types, logic, programming); PACMPL (POPL/OOPSLA/ICFP/PLDI) is the dominant venue stream in DBLP; conf/popl and conf/icfp have no separate stream over the window.2314- id: compilers2315 number: 162316 name: Compilers2317 area: software_pl2318 definition: 'Translation and optimisation of programs for execution: compiler construction, intermediate representations, optimisation passes, code generation, JIT compilation, auto-vectorisation and parallelisation, polyhedral methods, high-level synthesis, and compilers for machine-learning workloads and accelerators. A child of programming_languages.'2319 openalex_topics:2320 - id: T100542321 weight: 0.62322 note: 'parallel computing: compiler optimization, OpenMP, CUDA'2323 - id: T101262324 weight: 0.42325 note: logic, programming and type systems2326 - id: T109042327 weight: 0.32328 note: 'embedded systems design: high-level synthesis'2329 - id: T136502330 weight: 0.22331 note: Python scientific programming (JIT, NumPy)2332 openalex_subfields: []2333 arxiv_categories:2334 - id: cs.PL2335 weight: 0.52336 - id: cs.DC2337 weight: 0.12338 - id: cs.AR2339 weight: 0.12340 - id: cs.MS2341 weight: 0.12342 - id: cs.PF2343 weight: 0.12344 dblp_streams:2345 - key: conf/cgo2346 weight: 1.02347 - key: conf/cc2348 weight: 1.02349 - key: conf/pact2350 weight: 0.82351 - key: conf/pldi2352 weight: 0.62353 - key: journals/taco2354 weight: 0.62355 - key: conf/ppopp2356 weight: 0.52357 - key: conf/asplos2358 weight: 0.42359 - key: conf/mlsys2360 weight: 0.42361 - key: journals/pacmpl2362 weight: 0.32363 - key: journals/toplas2364 weight: 0.32365 - key: conf/ics2366 weight: 0.32367 - key: conf/sc2368 weight: 0.22369 - key: conf/micro2370 weight: 0.22371 - key: journals/tecs2372 weight: 0.22373 - key: conf/europar2374 weight: 0.22375 - key: journals/tpds2376 weight: 0.12377 - key: conf/ipps2378 weight: 0.12379 - key: journals/jpdc2380 weight: 0.12381 - key: conf/esop2382 weight: 0.22383 - key: conf/sas2384 weight: 0.22385 - key: journals/spe2386 weight: 0.22387 - key: conf/date2388 weight: 0.12389 - key: conf/dac2390 weight: 0.12391 - key: conf/fccm2392 weight: 0.22393 - key: conf/fpga2394 weight: 0.22395 keywords:2396 - pattern: (?i)\bcompilers?\b|\bcompilation\b|\bcompiler (optimi[sz]ation|design|infrastructure|passes|back-?ends?|front-?ends?|frameworks?|construction|bugs?|testing|fuzzing|verification|correctness)\b|\bcompiling\b2397 weight: 1.02398 field: both2399 - pattern: (?i)\b(LLVM|MLIR|GCC|Clang|TVM|XLA|Halide|TensorRT|polyhedral|auto-?tuning|auto-?vectori[sz]ation|vectori[sz]ation|loop (tiling|fusion|unrolling|interchange|transformations?|nests?|optimi[sz]ations?)|register allocation|instruction (scheduling|selection)|intermediate representations?|IR\b.*\b(lowering|optimi[sz]ation)|just-?in-?time|JIT\b|ahead-?of-?time|AOT\b|code generation (for|targeting)|binary (translation|rewriting|optimi[sz]ation)|decompil\w+|superoptimi[sz]\w+|peephole|tensor compilers?|kernel (generation|fusion|compilers?)|operator fusion|graph (compilers?|lowering|rewriting for)|schedule (search|space)|cost models? for (compilers?|code))\b2400 weight: 1.02401 field: both2402 - pattern: (?i)\b(high-?level synthesis|HLS\b|OpenMP|OpenCL|OpenACC|CUDA (kernels?|code|programming)|SYCL|parallelizing|auto-?parallel|program transformation|link-?time optimi[sz]ation|profile-?guided|whole-?program|inlining|dead code|constant (propagation|folding)|SSA\b|static single assignment|control-?flow graphs?|data-?flow (analysis|graphs?)|alias analysis|escape analysis|garbage collector (design|implementation)|managed runtimes?|interpreters? (design|performance)|bytecode (optimi[sz]ation|interpreters?)|WebAssembly compil|transpil\w+|source-?to-?source)\b2403 weight: 0.72404 field: both2405 - pattern: (?i)\b(machine learning|deep learning|ML|DL|AI|neural network|DNN|tensor|quantum|domain-?specific|hardware|FPGA|GPU|accelerator|verified|certified) compilers?\b|\bcompilers? for (machine learning|deep learning|neural networks?|accelerators?|GPUs?|FPGAs?|quantum)\b2406 weight: 1.02407 field: both2408 - pattern: (?i)\b(Triton|CUTLASS|cuDNN|oneDNN|XNNPACK|ONNX|TorchInductor|torch\.compile|TorchScript|Glow|nGraph|IREE|Tiramisu|AutoTVM|Ansor|CompCert|CakeML|Cranelift|V8|HotSpot|GraalVM|Numba|JAX (compilation|tracing)|Mojo)\b2409 weight: 0.82410 field: both2411 exclusions: []2412 related:2413 - programming_languages2414 - ai_accelerators2415 - computer_architecture2416 - scientific_computing2417 - distributed_computing2418 parent_of: []2419 child_of:2420 - programming_languages2421 provenance: 'No dedicated OpenAlex topic: compiler optimisation sits inside T10054 (keywords list ''compiler optimization'') and T10126. CGO/CC/PACT/TACO are the dedicated streams; keyword patterns (compiler, LLVM, MLIR, polyhedral...) carry the category.'2422- id: formal_verification2423 number: 172424 name: Formal Verification2425 area: software_pl2426 definition: 'Mathematically rigorous establishment of system properties: model checking, theorem proving and proof assistants, SAT/SMT solving and automated reasoning, deductive and runtime verification, verified software and hardware, formal semantics as a verification tool, verification of neural networks, smart contracts and protocols, automata and temporal logics. Language semantics as design is programming_languages.'2427 openalex_topics:2428 - id: T101422429 weight: 1.02430 note: formal methods in verification2431 - id: T111252432 weight: 0.82433 note: Petri nets in system modeling2434 - id: T120022435 weight: 0.42436 note: computability, logic and AI algorithms2437 - id: T110102438 weight: 0.42439 note: logic, reasoning and knowledge2440 - id: T115962441 weight: 0.42442 note: constraint satisfaction and optimization (SAT/CSP)2443 - id: T117272444 weight: 0.32445 note: advanced algebra and logic2446 - id: T115672447 weight: 0.32448 note: automata theory2449 - id: T101262450 weight: 0.32451 note: logic, programming and type systems2452 - id: T114242453 weight: 0.22454 note: security and verification in computing2455 - id: T132862456 weight: 0.22457 note: modeling and simulation systems2458 openalex_subfields: []2459 arxiv_categories:2460 - id: cs.LO2461 weight: 1.02462 - id: cs.FL2463 weight: 0.62464 - id: cs.PL2465 weight: 0.22466 - id: cs.SE2467 weight: 0.12468 dblp_streams:2469 - key: conf/cav2470 weight: 1.02471 - key: conf/tacas2472 weight: 1.02473 - key: conf/fm2474 weight: 1.02475 - key: conf/cade2476 weight: 1.02477 - key: conf/itp2478 weight: 1.02479 - key: conf/cpp2480 weight: 1.02481 - key: conf/fmcad2482 weight: 1.02483 - key: conf/vmcai2484 weight: 1.02485 - key: journals/fmsd2486 weight: 1.02487 - key: journals/jar2488 weight: 1.02489 - key: journals/tocl2490 weight: 0.82491 - key: conf/sat2492 weight: 0.82493 - key: conf/lpar2494 weight: 0.82495 - key: conf/lics2496 weight: 0.62497 - key: conf/csl2498 weight: 0.62499 - key: journals/lmcs2500 weight: 0.62501 - key: conf/concur2502 weight: 0.62503 - key: conf/cp2504 weight: 0.52505 - key: conf/fossacs2506 weight: 0.52507 - key: journals/constraints2508 weight: 0.42509 - key: journals/acta2510 weight: 0.42511 - key: conf/sas2512 weight: 0.42513 - key: journals/apal2514 weight: 0.32515 - key: journals/iandc2516 weight: 0.32517 - key: conf/jelia2518 weight: 0.32519 - key: conf/aiml2520 weight: 0.32521 - key: conf/kr2522 weight: 0.32523 - key: journals/mscs2524 weight: 0.32525 - key: conf/fscd2526 weight: 0.32527 - key: conf/dlt2528 weight: 0.32529 - key: conf/birthday2530 weight: 0.22531 - key: journals/tcs2532 weight: 0.22533 - key: conf/dsn2534 weight: 0.12535 - key: journals/tse2536 weight: 0.12537 - key: conf/icse2538 weight: 0.052539 - key: journals/pacmpl2540 weight: 0.22541 - key: conf/pldi2542 weight: 0.22543 - key: conf/esop2544 weight: 0.32545 - key: conf/models2546 weight: 0.22547 - key: conf/rtss2548 weight: 0.12549 - key: journals/tcad2550 weight: 0.12551 - key: conf/date2552 weight: 0.12553 - key: conf/dac2554 weight: 0.12555 keywords:2556 - pattern: (?i)\bformal (verification|methods?|specification|semantics|proofs?|analysis|modell?ing|reasoning|guarantees)\b|\bformally (verified|proved|proven|specified)\b2557 weight: 1.02558 field: both2559 - pattern: (?i)\b(model check(ing|ers?)|theorem prov(ing|ers?)|proof assistants?|interactive theorem|automated (reasoning|theorem|deduction)|SMT (solvers?|solving)|SAT (solvers?|solving)|satisfiability modulo|bounded model checking|symbolic model checking|abstraction refinement|CEGAR|IC3|PDR\b|k-?induction|temporal logics?|LTL\b|CTL\b|TCTL|mu-?calculus|Büchi|timed automata|hybrid automata|probabilistic model checking|PRISM model|refinement (calculus|checking)|TLA\+|Isabelle|Coq|Rocq|Lean (prover|4|theorem)|Agda|Dafny|Why3|Frama-?C|SPARK Ada|Z3|CVC[45]|Alloy|Event-?B|Petri nets?|process (algebras?|calculi)|bisimulation|rewriting logic|Maude|B method|VDM\b)\b2560 weight: 1.02561 field: both2562 - pattern: (?i)\b(verified (compilers?|software|implementations?|kernels?|systems?|cryptograph\w+|parsers?|libraries)|certified (programming|software|compilers?)|mechani[sz]ed (proofs?|semantics|metatheory|formali[sz]ation)|machine-?checked|proof of correctness|correct-?by-?construction|deductive verification|invariant (synthesis|generation|inference)|loop invariants?|runtime verification|runtime monitoring|contract-?based|design by contract|refinement types for verification|termination (analysis|proofs?)|verification conditions?|weakest precondition|proof (obligations?|engineering|repair|automation))\b2563 weight: 1.02564 field: both2565 - pattern: (?i)\b(neural network verification|verif(y|ying|ication of) (neural|deep|DNN|smart contracts?|cryptographic protocols?|distributed (protocols?|systems?)|hardware|RTL|hybrid systems?|cyber-?physical|autonomous|learning-?enabled)|safety verification|reachability analysis|abstract domains?|barrier certificates?|symbolic reasoning about|equivalence checking|hardware verification|formal hardware)\b2566 weight: 1.02567 field: both2568 - pattern: (?i)\b(automata|decidab(le|ility)|undecidab|satisfiab(le|ility)|unsatisfiable core|constraint solving|first-?order logic|higher-?order logic|modal logic|separation logic|Hoare logic|dynamic logic|description logics?|answer set|logic programming for verification|proof (search|systems?|theory|nets)|sequent calculus|resolution (proving|refutation)|superposition|E prover|Vampire)\b2569 weight: 0.72570 field: both2571 - pattern: (?i)\b(autoformali[sz]ation|formal (mathematics|theorem proving) (with|using|via) (LLMs?|language models?|neural)|neural theorem proving|LLM-?based (theorem|proof)|Lean (proofs?|theorems?|mathlib)|miniF2F|ProofNet|AlphaProof|DeepSeek-?Prover|proof (generation|synthesis) (with|using) (LLMs?|language models?))\b2572 weight: 1.02573 field: both2574 - pattern: (?i)\b(verification|verified|correctness|soundness|completeness|specification|logic|proofs?)\b2575 weight: 0.22576 field: both2577 exclusions: []2578 related:2579 - programming_languages2580 - software_engineering2581 - computational_complexity2582 - applied_cryptography2583 - ai_safety2584 - computer_architecture2585 parent_of: []2586 child_of: []2587 provenance: T10142 is the OpenAlex formal-methods topic; logic/automata topics of 1703 (T12002, T11567, T11727) and Petri nets (T11125) support it. CAV/TACAS/FM/CADE/ITP/CPP/FMCAD/VMCAI/JAR/FMSD are dedicated streams; cs.LO suffices alone.2588- id: algorithms2589 number: 182590 name: Algorithms and Data Structures2591 area: theory2592 definition: 'Design and analysis of algorithms and data structures: graph, string, geometric, approximation, randomized, online, streaming, parallel and parameterized algorithms, combinatorial optimisation and metaheuristics, algorithmic game theory, algorithm engineering, and the combinatorics that underpins them. Lower bounds and hardness as such are computational_complexity; numerical algorithms are scientific_computing.'2593 openalex_topics:2594 - id: T107202595 weight: 1.02596 note: complexity and algorithms in graphs (approximation, shortest paths, flows)2597 - id: T112692598 weight: 1.02599 note: algorithms and data compression (strings, sorting, succinct structures)2600 - id: T103742601 weight: 0.82602 note: advanced graph theory research2603 - id: T122922604 weight: 0.82605 note: graph theory and algorithms2606 - id: T109962607 weight: 0.72608 note: computational geometry and mesh generation2609 - id: T125412610 weight: 0.62611 note: graph labeling and dimension problems2612 - id: T122882613 weight: 0.62614 note: optimization and search problems2615 - id: T115962616 weight: 0.62617 note: constraint satisfaction and optimization2618 - id: T114762619 weight: 0.62620 note: graph theory and applications2621 - id: T111062622 weight: 0.62623 note: data management and algorithms2624 - id: T101002625 weight: 0.52626 note: metaheuristic optimization algorithms2627 - id: T119752628 weight: 0.52629 note: evolutionary algorithms2630 - id: T109482631 weight: 0.52632 note: advanced combinatorial mathematics2633 - id: T105512634 weight: 0.52635 note: scheduling and optimization algorithms2636 - id: T121762637 weight: 0.52638 note: optimization and packing problems2639 - id: T107922640 weight: 0.42641 note: matrix theory and algorithms2642 - id: T113292643 weight: 0.42644 note: limits and structures in graph theory2645 - id: T109632646 weight: 0.42647 note: advanced optimization algorithms2648 - id: T124012649 weight: 0.42650 note: scheduling and timetabling2651 - id: T108482652 weight: 0.32653 note: multi-objective optimization algorithms2654 - id: T105452655 weight: 0.32656 note: optimization and variational analysis2657 - id: T116972658 weight: 0.32659 note: numerical methods and algorithms2660 - id: T121622661 weight: 0.32662 note: cellular automata2663 - id: T125362664 weight: 0.32665 note: topological data analysis2666 - id: T105672667 weight: 0.32668 note: vehicle routing optimization2669 - id: T127092670 weight: 0.32671 note: optimization and mathematical programming2672 - id: T123032673 weight: 0.32674 note: tensor decomposition2675 - id: T110312676 weight: 0.32677 note: game theory and applications2678 - id: T109912679 weight: 0.32680 note: game theory and voting systems2681 - id: T111822682 weight: 0.22683 note: auction theory2684 - id: T102872685 weight: 0.22686 note: algebraic structures and combinatorial models2687 - id: T120562688 weight: 0.22689 note: Markov chains and Monte Carlo2690 - id: T117162691 weight: 0.22692 note: random matrices2693 - id: T121772694 weight: 0.22695 note: resource-constrained project scheduling2696 - id: T112522697 weight: 0.22698 note: evolutionary game theory and cooperation2699 openalex_subfields:2700 - id: 17032701 weight: 0.32702 arxiv_categories:2703 - id: cs.DS2704 weight: 1.02705 - id: cs.DM2706 weight: 0.82707 - id: cs.CG2708 weight: 0.82709 - id: cs.GT2710 weight: 0.52711 - id: cs.CC2712 weight: 0.22713 - id: math.OC2714 weight: 0.32715 - id: cs.NE2716 weight: 0.32717 dblp_streams:2718 - key: conf/soda2719 weight: 1.02720 - key: conf/esa2721 weight: 1.02722 - key: journals/algorithmica2723 weight: 1.02724 - key: journals/talg2725 weight: 1.02726 - key: conf/wads2727 weight: 1.02728 - key: conf/isaac2729 weight: 1.02730 - key: conf/swat2731 weight: 1.02732 - key: conf/alenex2733 weight: 1.02734 - key: conf/wea2735 weight: 1.02736 - key: conf/icalp2737 weight: 0.82738 - key: conf/latin2739 weight: 0.82740 - key: journals/jco2741 weight: 0.82742 - key: journals/algorithms2743 weight: 0.82744 - key: journals/dmaa2745 weight: 0.82746 - key: conf/cccg2747 weight: 0.82748 - key: conf/stacs2749 weight: 0.72750 - key: conf/mfcs2751 weight: 0.72752 - key: journals/ipl2753 weight: 0.72754 - key: journals/dam2755 weight: 0.72756 - key: journals/dcg2757 weight: 0.72758 - key: conf/approx2759 weight: 0.72760 - key: conf/stoc2761 weight: 0.62762 - key: conf/focs2763 weight: 0.62764 - key: journals/siamcomp2765 weight: 0.62766 - key: journals/tcs2767 weight: 0.62768 - key: journals/siamdm2769 weight: 0.62770 - key: conf/fsttcs2771 weight: 0.62772 - key: conf/gecco2773 weight: 0.62774 - key: conf/cec2775 weight: 0.62776 - key: journals/tec2777 weight: 0.62778 - key: journals/swevo2779 weight: 0.62780 - key: journals/jcss2781 weight: 0.52782 - key: conf/sofsem2783 weight: 0.52784 - key: journals/jacm2785 weight: 0.42786 - key: journals/dm2787 weight: 0.42788 - key: journals/combinatorics2789 weight: 0.42790 - key: journals/jgt2791 weight: 0.42792 - key: journals/gc2793 weight: 0.42794 - key: journals/cor2795 weight: 0.42796 - key: journals/orl2797 weight: 0.42798 - key: journals/mp2799 weight: 0.42800 - key: conf/sigecom2801 weight: 0.42802 - key: conf/cp2803 weight: 0.42804 - key: journals/ejc2805 weight: 0.32806 - key: journals/eor2807 weight: 0.32808 - key: journals/siamjo2809 weight: 0.32810 - key: journals/jgo2811 weight: 0.32812 - key: journals/ol2813 weight: 0.32814 - key: journals/jcta2815 weight: 0.32816 - key: journals/jctb2817 weight: 0.32818 - key: journals/jct2819 weight: 0.32820 - key: journals/itor2821 weight: 0.32822 - key: journals/rairo2823 weight: 0.32824 - key: journals/jota2825 weight: 0.22826 - key: journals/geb2827 weight: 0.22828 - key: journals/anor2829 weight: 0.22830 - key: journals/ior2831 weight: 0.22832 - key: journals/jors2833 weight: 0.22834 - key: journals/mansci2835 weight: 0.12836 - key: journals/jet2837 weight: 0.12838 - key: conf/sat2839 weight: 0.22840 - key: journals/ffa2841 weight: 0.22842 - key: journals/candie2843 weight: 0.22844 - key: journals/asc2845 weight: 0.22846 - key: journals/soco2847 weight: 0.22848 - key: journals/evi2849 weight: 0.42850 - key: journals/jossac2851 weight: 0.22852 - key: journals/siamam2853 weight: 0.12854 keywords:2855 - pattern: (?i)\b(approximation|randomi[sz]ed|online|streaming|sublinear|parameteri[sz]ed|exact|combinatorial|graph|geometric|parallel|distributed|dynamic|external[- ]memory|cache-?oblivious|greedy|divide-?and-?conquer|branch-?and-?bound|exponential-?time|polynomial-?time|efficient|fast|optimal|linear-?time|near-?linear|quantum|string|matching|sorting|search|enumeration|sampling|sketching|learning-?augmented) algorithms?\b2856 weight: 1.02857 field: both2858 - pattern: (?i)\bdata structures?\b|\balgorithm (design|analysis|engineering|theory)\b|\balgorithmic\b2859 weight: 1.02860 field: both2861 - pattern: (?i)\b(time complexity|running time|worst-?case|amorti[sz]ed|competitive ratio|approximation (ratio|factor|scheme)|PTAS|FPTAS|NP-?hard|NP-?complete|polynomial[- ]time|FPT\b|fixed-?parameter|kernelization|treewidth|lower bounds?|upper bounds?|O\(n (log|\^)|tight bounds?|conditional lower bounds?)\b2862 weight: 0.72863 field: both2864 - pattern: (?i)\b(shortest paths?|(maximum|max)[- ]flow|(minimum|min)[- ]cut|spanning trees?|vertex cover|independent sets?|dominating sets?|graph colou?ring|cliques?|Steiner trees?|knapsack|bin packing|TSP\b|travell?ing salesman|scheduling problems?|vehicle routing|facility location|set cover|matchings?|matroids?|submodular|(linear|integer|semidefinite) programming|cutting planes?|primal-?dual|LP (relaxation|rounding)|network flows?|spanners?|reachability|dynamic graphs?|distance oracles?)\b2865 weight: 0.72866 field: both2867 - pattern: (?i)\b(sorting|searching|hashing|hash (tables?|functions? for)|suffix (trees?|arrays?)|string (matching|algorithms?|indexing)|pattern matching|succinct|compressed (indexes?|data structures?)|sketch(es|ing)|locality[- ]sensitive hashing|Bloom filters?|priority queues?|heaps?|balanced (trees?|search)|B-?trees?|tries?|range (queries|searching|minimum)|nearest neighbou?r search|k-?d trees?|persistent data|dynamic (connectivity|trees)|union-?find|disjoint sets?|skip lists?|cuckoo hashing|streaming (algorithms?|model)|sketch(ing)? algorithms?|sublinear)\b2868 weight: 0.82869 field: both2870 - pattern: (?i)\b(metaheuristics?|evolutionary (algorithms?|computation)|genetic algorithms?|particle swarm|ant colony|simulated annealing|tabu search|local search|differential evolution|swarm intelligence|memetic|hyper-?heuristics?|combinatorial optimi[sz]ation|constraint (programming|satisfaction|propagation)|SAT-?based|MaxSAT|mixed-?integer|branch-?and-?(bound|cut|price)|column generation|Lagrangian relaxation|multi-?objective optimi[sz]ation|Pareto (front|optimal))\b2871 weight: 0.62872 field: both2873 - pattern: (?i)\b(computational geometry|Voronoi|Delaunay|convex hull|triangulations?|arrangements? of|range searching|point location|motion planning (complexity|algorithms)|polygon|visibility graphs?|geometric (optimi[sz]ation|intersection|approximation)|kinetic data)\b2874 weight: 0.82875 field: both2876 - pattern: (?i)\b(algorithmic game theory|mechanism design|price of anarchy|Nash equilibri(a|um)|equilibrium computation|fair division|cake cutting|matching markets|stable matching|auction (design|theory)|social choice|voting rules?|computational social choice|incentive compatib)\b2877 weight: 0.72878 field: both2879 - pattern: (?i)\b(graph theory|planar graphs?|chromatic|Hamiltonian|Ramsey|extremal (graph|combinatorics)|combinatorics|combinatorial (designs?|structures?)|enumerative|Latin squares?|permutations? (patterns?|statistics)|hypergraphs?|digraphs?|tournaments?|graph (minors?|decompositions?|embeddings?|homomorphisms?|isomorphism))\b2880 weight: 0.62881 field: both2882 - pattern: (?i)\balgorithms?\b|\bcomplexity\b|\bheuristics?\b|\boptimi[sz]ation\b|\bgraphs?\b2883 weight: 0.32884 field: both2885 exclusions: []2886 related:2887 - computational_complexity2888 - ml_theory2889 - computer_graphics2890 - database_systems2891 - distributed_computing2892 - scientific_computing2893 parent_of: []2894 child_of: []2895 provenance: Core topics T10720/T11269 (1703, 1702) plus graph-theory, geometry, combinatorial-optimisation and metaheuristic topics of fields 17, 26 and 22; SODA/ESA/Algorithmica/TALG are the pure venues, STOC/FOCS shared with complexity.2896- id: computational_complexity2897 number: 192898 name: Computational Complexity2899 area: theory2900 definition: 'The intrinsic difficulty of computational problems: complexity classes and their separations, hardness of approximation, circuit, proof, communication and query complexity, fine-grained and parameterized complexity, pseudorandomness and derandomization, computability and automata theory, algebraic complexity, and quantum complexity. Algorithm design is algorithms; cryptographic hardness assumptions are applied_cryptography.'2901 openalex_topics:2902 - id: T120022903 weight: 0.82904 note: computability, logic and AI algorithms (Turing machines, Kolmogorov complexity)2905 - id: T115672906 weight: 0.72907 note: semigroups and automata theory2908 - id: T107202909 weight: 0.52910 note: complexity and algorithms in graphs (P vs NP, complexity classes)2911 - id: T114352912 weight: 0.52913 note: polynomial and algebraic computation2914 - id: T117272915 weight: 0.32916 note: advanced algebra and logic2917 - id: T111302918 weight: 0.22919 note: coding theory and cryptography2920 - id: T121622921 weight: 0.22922 note: cellular automata2923 - id: T100202924 weight: 0.12925 note: quantum information (quantum complexity)2926 - id: T124692927 weight: 0.12928 note: chaos, complexity and education2929 openalex_subfields:2930 - id: 17032931 weight: 0.22932 arxiv_categories:2933 - id: cs.CC2934 weight: 1.02935 - id: cs.FL2936 weight: 0.52937 - id: cs.LO2938 weight: 0.22939 - id: cs.DS2940 weight: 0.22941 - id: quant-ph2942 weight: 0.12943 - id: cs.IT2944 weight: 0.12945 - id: math.IT2946 weight: 0.12947 dblp_streams:2948 - key: journals/eccc2949 weight: 1.02950 - key: journals/toct2951 weight: 1.02952 - key: conf/stoc2953 weight: 0.82954 - key: conf/focs2955 weight: 0.82956 - key: conf/csr2957 weight: 0.62958 - key: conf/dlt2959 weight: 0.62960 - key: conf/icalp2961 weight: 0.52962 - key: conf/stacs2963 weight: 0.52964 - key: conf/mfcs2965 weight: 0.52966 - key: journals/siamcomp2967 weight: 0.52968 - key: journals/jcss2969 weight: 0.52970 - key: journals/iandc2971 weight: 0.52972 - key: journals/jacm2973 weight: 0.42974 - key: conf/approx2975 weight: 0.42976 - key: conf/fsttcs2977 weight: 0.42978 - key: journals/tcs2979 weight: 0.32980 - key: conf/sofsem2981 weight: 0.32982 - key: journals/ipl2983 weight: 0.22984 - key: conf/lics2985 weight: 0.22986 - key: journals/lmcs2987 weight: 0.22988 - key: conf/soda2989 weight: 0.22990 - key: journals/apal2991 weight: 0.22992 - key: journals/mscs2993 weight: 0.22994 - key: journals/algorithmica2995 weight: 0.12996 - key: journals/talg2997 weight: 0.12998 - key: conf/csl2999 weight: 0.13000 - key: journals/acta3001 weight: 0.23002 - key: conf/sat3003 weight: 0.23004 keywords:3005 - pattern: (?i)\b(computational|circuit|communication|proof|query|descriptive|parameteri[sz]ed|fine-?grained|average-?case|Kolmogorov|algorithmic|quantum|structural|space|time|arithmetic|algebraic|Boolean|counting|streaming|information) complexity\b3006 weight: 1.03007 field: both3008 - pattern: (?i)\bcomplexity (theory|class(es)?|lower bounds?|separations?|dichotom(y|ies)|hierarch(y|ies))\b|\bcomplexity-?theoretic\b3009 weight: 1.03010 field: both3011 - pattern: (?i)\b(P (vs\.?|versus|=|≠|!=) ?NP|NP-?complete(ness)?|NP-?hard(ness)?|coNP|PSPACE|EXPTIME|NEXP|#P\b|BPP\b|BQP\b|QMA\b|MIP\*?\b|PH\b|polynomial(-time)? hierarchy|AC\^?0|NC\^?[01]|TC\^?0|ACC\^?0|NL\b|L\b vs|P/poly|NP ∩ coNP|ZPP|RP\b|PP\b|PPAD|PLS\b|TFNP|W\[1\]|W\[2\]|XP\b|para-?NP)\b3012 weight: 1.03013 field: both3014 - pattern: (?i)\b(hardness of approximation|inapproximab|PCP theorem|probabilistically checkable|unique games|exponential[- ]time hypothesis|SETH\b|ETH\b|orthogonal vectors|3-?SUM|APSP (hardness|conjecture)|derandomi[sz]ation|pseudorandom(ness)? (generators?|functions?|for)|hardness (amplification|vs\.? randomness|magnification|escalation)|natural proofs|lifting theorems?|arithmetic circuits?|algebraic (complexity|circuits)|VP (vs|versus|≠) VNP|matrix multiplication exponent|omega \(ω\)|Boolean (circuits?|functions?) (lower|complexity|size)|circuit lower bounds?|formula (size|lower bounds?)|decision tree complexity|sensitivity conjecture|constraint satisfaction problems? dichotomy|CSP dichotomy|counting complexity|holographic algorithms|interactive proofs?|zero-?knowledge complexity|Arthur-?Merlin|relativi[sz]ation|oracle separations?|time-?space trade-?offs?|catalytic|meta-?complexity|MCSP|minimum circuit size)\b3015 weight: 1.03016 field: both3017 - pattern: (?i)\b(computability|decidability|undecidab|Turing machines?|halting problem|recursion theory|recursively enumerable|computably enumerable|Turing degrees|automata theory|formal languages?|regular languages?|context-?free (languages?|grammars?)|pushdown automata|finite automata|cellular automata|descriptional complexity|state complexity|Rice'?s theorem|reductions? (between|from|to)|Kolmogorov|algorithmic (randomness|information)|reverse mathematics|Büchi automata|tree automata|weighted automata|transducers?|ω-?regular)\b3018 weight: 0.83019 field: both3020 - pattern: (?i)\bproof complexity\b|\bresolution (lower bounds?|refutations?|width|size)\b|\bcutting planes proofs?\b|\bFrege\b|\bbounded arithmetic\b3021 weight: 1.03022 field: both3023 - pattern: (?i)\b(hardness|intractab(le|ility)|lower bounds?|reductions?|separations?)\b3024 weight: 0.43025 field: both3026 exclusions:3027 - (?is)^(?!.*(complexity (class|theory)|NP|PSPACE|lower bound|hardness|computab|automata|Turing|circuit|reduction|decidab)).*\b(complexity of (care|disease|life|organi[sz]ations|the (world|environment|problem))|complex systems?|complexity science|chaos)\b3028 related:3029 - algorithms3030 - formal_verification3031 - quantum_computing3032 - applied_cryptography3033 - ml_theory3034 parent_of: []3035 child_of: []3036 provenance: 'OpenAlex has no pure complexity topic: it mixes classes into T10720 and computability into T12002/T11567. ECCC and ToCT are the pure streams; STOC/FOCS shared with algorithms; cs.CC alone suffices.'3037- id: database_systems3038 number: 203039 name: Database Systems3040 area: data_distributed3041 definition: 'Storage, querying and management of structured and semi-structured data: query processing and optimisation, transactions and concurrency control, indexing and storage engines, data integration, cleaning and provenance, big-data processing frameworks, data mining as a data-management problem, learned database components, vector and graph databases. Ranking of unstructured documents is information_retrieval.'3042 openalex_topics:3043 - id: T103173044 weight: 1.03045 note: advanced database systems and queries3046 - id: T127613047 weight: 0.63048 note: data stream mining3049 - id: T117193050 weight: 0.63051 note: data quality and management3052 - id: T142803053 weight: 0.63054 note: big data technologies and applications3055 - id: T105383056 weight: 0.53057 note: data mining algorithms and applications3058 - id: T111813059 weight: 0.53060 note: advanced data storage technologies3061 - id: T126013062 weight: 0.53063 note: web applications and data management3064 - id: T111063065 weight: 0.53066 note: data management and algorithms3067 - id: T107723068 weight: 0.43069 note: distributed systems and fault tolerance (distributed databases, transactions)3070 - id: T133733071 weight: 0.43072 note: data mining and ML applications3073 - id: T118913074 weight: 0.43075 note: big data and business intelligence3076 - id: T102153077 weight: 0.43078 note: semantic web and ontologies (RDF, SPARQL)3079 - id: T120163080 weight: 0.43081 note: web data mining3082 - id: T144353083 weight: 0.43084 note: information retrieval and data mining3085 - id: T119373086 weight: 0.33087 note: research data management3088 - id: T136473089 weight: 0.33090 note: AI and big data applications3091 - id: T143473092 weight: 0.23093 note: big data and digital economy3094 - id: T101013095 weight: 0.23096 note: cloud computing (MapReduce, Hadoop)3097 - id: T107573098 weight: 0.23099 note: geographic information systems3100 - id: T138323101 weight: 0.23102 note: advanced decision-making techniques (DSS)3103 - id: T144843104 weight: 0.23105 note: technology and data analysis3106 openalex_subfields:3107 - id: 17103108 weight: 0.13109 arxiv_categories:3110 - id: cs.DB3111 weight: 1.03112 dblp_streams:3113 - key: conf/sigmod3114 weight: 1.03115 - key: journals/pvldb3116 weight: 1.03117 - key: journals/pacmmod3118 weight: 1.03119 - key: conf/icde3120 weight: 1.03121 - key: conf/edbt3122 weight: 1.03123 - key: conf/pods3124 weight: 1.03125 - key: journals/tods3126 weight: 1.03127 - key: journals/vldb3128 weight: 1.03129 - key: conf/dasfaa3130 weight: 1.03131 - key: conf/vldb3132 weight: 0.83133 - key: journals/tkde3134 weight: 0.83135 - key: journals/tbd3136 weight: 0.63137 - key: conf/apweb3138 weight: 0.63139 - key: conf/icdm3140 weight: 0.53141 - key: conf/pakdd3142 weight: 0.53143 - key: journals/tkdd3144 weight: 0.53145 - key: journals/kais3146 weight: 0.53147 - key: conf/bigdataconf3148 weight: 0.53149 - key: journals/jbd3150 weight: 0.53151 - key: conf/gis3152 weight: 0.53153 - key: conf/cikm3154 weight: 0.43155 - key: conf/kdd3156 weight: 0.43157 - key: journals/ijdsa3158 weight: 0.43159 - key: journals/data3160 weight: 0.43161 - key: conf/pkdd3162 weight: 0.33163 - key: journals/www3164 weight: 0.33165 - key: journals/tgis3166 weight: 0.33167 - key: journals/gis3168 weight: 0.33169 - key: journals/biodb3170 weight: 0.33171 - key: conf/semweb3172 weight: 0.33173 - key: conf/esws3174 weight: 0.33175 - key: journals/dss3176 weight: 0.23177 - key: journals/isf3178 weight: 0.13179 - key: journals/tist3180 weight: 0.23181 - key: journals/kbs3182 weight: 0.13183 - key: conf/ksem3184 weight: 0.23185 keywords:3186 - pattern: (?i)\bdatabases?\b|\bDBMSs?\b|\bRDBMSs?\b|\bdatabase (systems?|management|engines?|design|theory|queries|tuning|research)\b3187 weight: 0.83188 field: both3189 - pattern: (?i)\b(query (processing|optimi[sz]ation|execution|languages?|engines?|compilation|plans?|rewriting|answering over)|SQL\b|NoSQL|NewSQL|relational (model|algebra|databases?|queries|tables?)|transaction(al)? (processing|management|systems?)|ACID\b|OLTP|OLAP|HTAP|index(ing|es) (structures?|for|techniques)|B\+?-?trees?|learned (index(es)?|cardinality|query optimi[sz]ers?|database)|key-?value stores?|column(ar)? (stores?|storage|formats?)|data (warehous(e|es|ing)|lakes?|lakehouses?|integration|cleaning|quality|provenance|lineage|wrangling|catalogs?|cubes?|partitioning|versioning|discovery|marketplaces?)|schema (matching|evolution|mapping|inference)|entity (resolution|matching)|record linkage|join (algorithms?|processing|ordering|optimi[sz]ation)|cardinality estimation|selectivity estimation|data management|graph databases?|property graphs?|spatial (databases?|indexing|queries|joins?)|spatio-?temporal (databases?|queries|indexing)|time[- ]series databases?|vector (databases?|search3190 engines?|indexes?)|approximate nearest neighbou?r search|similarity search|top-?k queries|skyline queries|query by example|data lakes?|metadata management|Datalog engines?)\b3191 weight: 1.03192 field: both3193 - pattern: (?i)\b(data mining|frequent (patterns?|itemsets?|subgraphs?)|association rules?|knowledge discovery in databases|KDD\b|sequential pattern mining|stream (processing|mining)|data streams?|sliding windows?|big data (analytics|processing|systems?|platforms?|frameworks?|management)|Hadoop|HDFS|Apache Spark|Spark SQL|MapReduce|Flink|Hive|Presto|Trino|Kafka|ETL\b|ELT\b|text-?to-?SQL|NL2SQL|natural language interfaces? to databases?|NLIDB|LLMs? for (data|databases?|SQL|tables?)|table (question answering|understanding|representation))\b3194 weight: 0.73195 field: both3196 - pattern: (?i)\b(PostgreSQL|Postgres|MySQL|SQLite|DuckDB|MongoDB|Cassandra|RocksDB|LevelDB|Neo4j|ClickHouse|Snowflake|BigQuery|Redshift|TiDB|CockroachDB|Spanner|DynamoDB|LSM-?trees?|storage engines?|buffer (pool|management)|concurrency control|MVCC|multi-?version|crash recovery|write-?ahead log(ging)?|WAL\b|checkpointing in databases|isolation levels?|serializab(le|ility)|snapshot isolation|two-?phase (locking|commit)|optimistic concurrency|deterministic databases?|in-?memory databases?|main-?memory databases?|disaggregated (storage|memory) for databases?|cloud(-?native)? databases?|database-?as-?a-?service|DBaaS|multi-?model databases?|time-?travel queries|temporal databases?)\b3197 weight: 1.03198 field: both3199 - pattern: (?i)\b(data|queries|query|tables?|records?|tuples?|schemas?|indexes|indices)\b3200 weight: 0.23201 field: both3202 exclusions:3203 - (?is)^(?!.*(query processing|SQL|transaction|index(ing)?|storage engine|DBMS|data management|data integration|schema|NoSQL|query optimi)).*\b(PubMed|Embase|Scopus|Web of Science|Cochrane|MEDLINE|CINAHL|PsycINFO) (databases?|were searched|search)\b3204 related:3205 - information_retrieval3206 - distributed_computing3207 - cloud_computing3208 - algorithms3209 - ml_theory3210 parent_of: []3211 child_of: []3212 provenance: T10317 is the OpenAlex database topic; data-mining and big-data topics (1710, 1711, 18xx) shared at 0.4-0.6. SIGMOD/PVLDB/PACMMOD/ICDE/EDBT/PODS/TODS/VLDBJ pure; CIKM/KDD shared with IR and ML. Systematic-review mentions of bibliographic databases are vetoed when no DB-systems term co-occurs.3213- id: information_retrieval3214 number: 213215 name: Information Retrieval3216 area: data_distributed3217 definition: 'Finding and ranking relevant information for a user need: search engines and ranking models, dense and sparse retrieval, recommender systems, query understanding, evaluation and test collections, web search and mining, scholarly and digital-library retrieval, retrieval components of RAG systems. Structured query processing is database_systems; text understanding tasks are nlp.'3218 openalex_topics:3219 - id: T102863220 weight: 1.03221 note: information retrieval and search behavior3222 - id: T102033223 weight: 1.03224 note: recommender systems3225 - id: T132743226 weight: 0.83227 note: expert finding and Q&A systems3228 - id: T144353229 weight: 0.63230 note: information retrieval and data mining3231 - id: T139763232 weight: 0.53233 note: web visibility and informetrics3234 - id: T120163235 weight: 0.53236 note: web data mining and analysis3237 - id: T106273238 weight: 0.43239 note: advanced image and video retrieval3240 - id: T108243241 weight: 0.33242 note: image retrieval and classification3243 - id: T100283244 weight: 0.33245 note: topic modeling / RAG / sentence retrieval3246 - id: T102153247 weight: 0.33248 note: semantic web and ontologies3249 - id: T136733250 weight: 0.23251 note: library science and information3252 - id: T119373253 weight: 0.23254 note: research data management3255 - id: T118133256 weight: 0.23257 note: library collection development and digital resources3258 - id: T128633259 weight: 0.23260 note: web and library services3261 - id: T106643262 weight: 0.23263 note: sentiment analysis and opinion mining3264 - id: T116443265 weight: 0.23266 note: spam and phishing detection3267 - id: T143303268 weight: 0.23269 note: library science and information systems3270 - id: T131663271 weight: 0.23272 note: information science and libraries3273 - id: T138743274 weight: 0.23275 note: information architecture and usability3276 - id: T111223277 weight: 0.23278 note: online learning and analytics (recommendation)3279 openalex_subfields:3280 - id: 17103281 weight: 0.13282 arxiv_categories:3283 - id: cs.IR3284 weight: 1.03285 - id: cs.DL3286 weight: 0.63287 - id: cs.SI3288 weight: 0.33289 dblp_streams:3290 - key: conf/sigir3291 weight: 1.03292 - key: conf/wsdm3293 weight: 1.03294 - key: conf/ecir3295 weight: 1.03296 - key: conf/recsys3297 weight: 1.03298 - key: journals/tois3299 weight: 1.03300 - key: journals/ipm3301 weight: 0.83302 - key: conf/clef3303 weight: 0.83304 - key: conf/jcdl3305 weight: 0.83306 - key: conf/um3307 weight: 0.83308 - key: conf/cikm3309 weight: 0.63310 - key: conf/www3311 weight: 0.63312 - key: journals/www3313 weight: 0.63314 - key: journals/jasis3315 weight: 0.63316 - key: conf/asist3317 weight: 0.63318 - key: journals/scientometrics3319 weight: 0.53320 - key: conf/semweb3321 weight: 0.53322 - key: conf/esws3323 weight: 0.53324 - key: conf/webi3325 weight: 0.53326 - key: journals/kais3327 weight: 0.33328 - key: conf/kdd3329 weight: 0.33330 - key: conf/icwsm3331 weight: 0.33332 - key: journals/tist3333 weight: 0.33334 - key: journals/tkde3335 weight: 0.23336 - key: journals/snam3337 weight: 0.23338 - key: conf/asunam3339 weight: 0.23340 - key: journals/tcss3341 weight: 0.13342 - key: journals/ijinfoman3343 weight: 0.23344 - key: journals/jkm3345 weight: 0.13346 - key: journals/iam3347 weight: 0.13348 keywords:3349 - pattern: (?i)\binformation retrieval\b|\bIR (systems?|models?|evaluation|research|community)\b|\bad[- ]hoc retrieval\b|\bretrieval (models?|systems?|effectiveness|augmented)\b3350 weight: 1.03351 field: both3352 - pattern: (?i)\b(search engines?|web search|enterprise search|product search|query (expansion|reformulation|understanding|suggestion|logs?|auto-?completion|intent)|ranking (models?|functions?|losses?|metrics)|learning[- ]to[- ]rank|LTR\b|dense (retrieval|passage retrieval|retrievers?)|sparse retrieval|lexical retrieval|hybrid retrieval|BM25|TF-?IDF|neural (retrieval|rankers?|IR|re-?ranking)|re-?rank(ing|ers?)|cross-?encoders?|bi-?encoders?|dual encoders?|ColBERT|late interaction|SPLADE|DPR\b|document (ranking|retrieval|expansion)|passage (ranking|retrieval)|relevance (judgments?|feedback|assessment|modeling)|click (models?|logs?|through)|conversational search|interactive (IR|retrieval)|session search|evaluation (campaigns?|measures?)|nDCG|MRR\b|mean reciprocal rank|MAP@|test collections?|TREC\b|MS ?MARCO|BEIR|pooling bias|query performance prediction|retrieval-?augmented|RAG (systems?|pipelines?)|retriever|generative (retrieval|recommendation))\b3353 weight: 1.03354 field: both3355 - pattern: (?i)\brecommend(er|ation) (systems?|models?|algorithms?|engines?|tasks?|lists?|quality)\b|\brecommenders?\b|\bcollaborative filtering\b|\b(sequential|session-?based|conversational|cross-?domain|cold-?start|news|music|point-?of-?interest|POI|job|group|bundle|LLM-?based|explainable|fair|multi-?stakeholder) recommendation\b|\bclick-?through rate\b|\bCTR prediction\b|\bimplicit feedback\b|\buser (modeling|preferences?|interests?) (for|in) recommendation\b|\bmatrix factori[sz]ation\b|\bitem (embeddings?|cold start)\b|\bMovieLens\b|\bNetflix Prize\b3356 weight: 1.03357 field: both3358 - pattern: (?i)\b(knowledge graphs?|entity linking|entity search|semantic web|linked (open )?data|SPARQL|RDF\b|ontolog(y|ies) (matching|alignment|engineering)|schema\.org|Wikidata|DBpedia|question answering over knowledge)\b3359 weight: 0.53360 field: both3361 - pattern: (?i)\b(digital librar(y|ies)|scholarly (search|recommendation|data|documents?|knowledge graphs?)|citation (analysis|networks?|recommendation|counts?|indexing)|bibliometric|scientometric|altmetric|h-?index|peer[- ]review (process|quality)|web (crawl(ing|ers?)|archiv(es?|ing)|mining)|social media (mining|analytics|retrieval)|hashtags?|microblog|user-?generated content|community question answering|CQA\b|expert finding|e-?commerce search|sponsored search|computational advertising|ad (auctions?|ranking))\b3362 weight: 0.63363 field: both3364 - pattern: (?i)\b(retrieval|search|ranking|recommendation|relevance|queries|query|users?' (information|search))\b3365 weight: 0.33366 field: both3367 exclusions: []3368 related:3369 - nlp3370 - database_systems3371 - llm3372 - hci3373 - ml_theory3374 parent_of: []3375 child_of: []3376 provenance: T10286 (search behaviour) and T10203 (recommenders) are the OpenAlex IR hosts; library/information-science topics of 1710 included at 0.2 because they share venues (JASIST, ASIS&T). SIGIR/WSDM/ECIR/RecSys/TOIS pure.3377- id: distributed_computing3378 number: 223379 name: Distributed Computing3380 area: data_distributed3381 definition: 'Computation across multiple processors or machines: distributed algorithms and consensus, fault tolerance and replication, parallel programming and HPC systems software, cluster and grid resource management, distributed storage and middleware, distributed and parallel ML training systems. Cloud service models are cloud_computing and edge placement is edge_computing (both children).'3382 openalex_topics:3383 - id: T107153384 weight: 1.03385 note: distributed and parallel computing systems (grid, cluster, scheduling)3386 - id: T107723387 weight: 1.03388 note: distributed systems and fault tolerance (consensus, replication, transactions)3389 - id: T107423390 weight: 0.83391 note: peer-to-peer network technologies3392 - id: T100543393 weight: 0.63394 note: parallel computing (HPC, MPI, GPU)3395 - id: T108293396 weight: 0.53397 note: interconnection networks and systems3398 - id: T111813399 weight: 0.53400 note: advanced data storage technologies3401 - id: T101013402 weight: 0.43403 note: cloud computing and resource management3404 - id: T121273405 weight: 0.43406 note: software system performance and reliability3407 - id: T106793408 weight: 0.33409 note: service-oriented architecture3410 - id: T102733411 weight: 0.33412 note: IoT and edge/fog computing3413 - id: T102493414 weight: 0.33415 note: distributed control multi-agent systems3416 - id: T122033417 weight: 0.33418 note: mobile agent-based network management3419 - id: T119863420 weight: 0.33421 note: scientific workflows3422 - id: T128793423 weight: 0.23424 note: distributed sensor networks and detection3425 - id: T122163426 weight: 0.23427 note: network time synchronization3428 - id: T114783429 weight: 0.23430 note: caching and content delivery3431 openalex_subfields:3432 - id: 17053433 weight: 0.13434 arxiv_categories:3435 - id: cs.DC3436 weight: 1.03437 - id: cs.PF3438 weight: 0.53439 - id: cs.OS3440 weight: 0.23441 - id: cs.NI3442 weight: 0.13443 dblp_streams:3444 - key: journals/tpds3445 weight: 1.03446 - key: journals/jpdc3447 weight: 1.03448 - key: conf/ipps3449 weight: 1.03450 - key: conf/podc3451 weight: 1.03452 - key: conf/spaa3453 weight: 1.03454 - key: conf/opodis3455 weight: 1.03456 - key: conf/europar3457 weight: 1.03458 - key: conf/ics3459 weight: 1.03460 - key: conf/hpdc3461 weight: 1.03462 - key: conf/icdcs3463 weight: 1.03464 - key: conf/middleware3465 weight: 1.03466 - key: conf/cluster3467 weight: 1.03468 - key: conf/icpads3469 weight: 1.03470 - key: conf/ica3pp3471 weight: 1.03472 - key: conf/ispa3473 weight: 1.03474 - key: conf/sc3475 weight: 0.83476 - key: conf/ccgrid3477 weight: 0.83478 - key: conf/hpcc3479 weight: 0.83480 - key: conf/ppopp3481 weight: 0.83482 - key: journals/concurrency3483 weight: 0.83484 - key: journals/tjs3485 weight: 0.83486 - key: journals/cluster3487 weight: 0.83488 - key: journals/ijhpca3489 weight: 0.83490 - key: journals/scpe3491 weight: 0.83492 - key: journals/fgcs3493 weight: 0.63494 - key: conf/eurosys3495 weight: 0.63496 - key: journals/ppna3497 weight: 0.63498 - key: conf/aina3499 weight: 0.63500 - key: conf/nsdi3501 weight: 0.53502 - key: conf/dsn3503 weight: 0.53504 - key: conf/socc3505 weight: 0.53506 - key: conf/cloud3507 weight: 0.53508 - key: journals/tos3509 weight: 0.53510 - key: conf/fast3511 weight: 0.53512 - key: conf/osdi3513 weight: 0.43514 - key: conf/sosp3515 weight: 0.43516 - key: journals/tc3517 weight: 0.43518 - key: journals/sp3519 weight: 0.43520 - key: conf/mlsys3521 weight: 0.43522 - key: conf/ucc3523 weight: 0.43524 - key: journals/tcc3525 weight: 0.33526 - key: journals/jsa3527 weight: 0.33528 - key: journals/computing3529 weight: 0.33530 - key: journals/tnsm3531 weight: 0.23532 - key: conf/xsede3533 weight: 0.43534 - key: conf/pact3535 weight: 0.23536 - key: journals/taco3537 weight: 0.13538 - key: journals/tnse3539 weight: 0.23540 - key: journals/jnca3541 weight: 0.23542 - key: conf/isca3543 weight: 0.13544 - key: journals/ieicetd3545 weight: 0.13546 keywords:3547 - pattern: (?i)\b(distributed|parallel|concurrent) (systems?|computing|algorithms?|programming|processing|storage|file systems?|transactions?|consensus|ledgers?|training|inference|machine learning|deep learning|graph processing|databases?|data processing|simulation|applications?|execution|runtime|scheduling|snapshots?|shared memory|memory|protocols?|optimi[sz]ation|SGD|stochastic)\b3548 weight: 1.03549 field: both3550 - pattern: (?i)\b(consensus (protocols?|algorithms?)|Paxos|Raft\b|Byzantine|fault[- ]toleran(t|ce)|replication|state machine replication|linearizab(le|ility)|serializab|eventual consistency|strong consistency|consistency models?|CRDTs?|conflict-?free replicated|vector clocks?|logical clocks?|leader election|gossip protocols?|epidemic protocols?|distributed (hash tables?|locks?|snapshots?|tracing|ledger|shared)|two-?phase commit|atomic (broadcast|commit)|failure detectors?|self-?stabili[sz]|population protocols?|LOCAL model|CONGEST|message complexity|round complexity|asynchronous (systems?|networks?|model))\b3551 weight: 1.03552 field: both3553 - pattern: (?i)\b(high[- ]performance computing|HPC\b|supercomput\w+|exascale|petascale|MPI\b|OpenMP|message passing|load balancing|job scheduling|workflow (scheduling|management|engines?)|resource (allocation|management|scheduling) (in|for|on|across) (clusters?|grids?|data ?cent(er|re)s?|HPC|supercomputers?)|scalab(le|ility) (to|on|across) \d[\d,]* (nodes|cores|GPUs|processors)|multi-?GPU|GPU clusters?|data[- ]parallel(ism)?|model[- ]parallel(ism)?|pipeline[- ]parallel(ism)?|tensor[- ]parallel(ism)?|expert parallelism|all-?reduce|all-?to-?all|parameter servers?|collective communication|NCCL|ZeRO\b|FSDP|DeepSpeed|Megatron|Horovod|gradient (synchroni[sz]ation|accumulation across)|stragglers?|checkpoint(ing)? (for|of|in) (training|HPC)|large-?scale training|training (at scale|on \d+ GPUs)|distributed (LLM|DNN) (training|inference|serving)|cluster schedul(ers?|ing)|Slurm|Kubernetes schedul|Borg|YARN|Mesos)\b3554 weight: 1.03555 field: both3556 - pattern: (?i)\b(middleware|publish[- ]subscribe|pub/sub|message (queues?|brokers?)|Kafka|RabbitMQ|actor model|service mesh|stream processing (engines?|systems?|frameworks?)|Apache (Spark|Flink|Storm|Beam|Hadoop)|MapReduce|Ray\b|Dask|dataflow (systems?|engines?)|serverless (workflows?|computing)|microservices? (architecture|performance|systems?)|RPC\b|remote procedure|gRPC|RDMA|interconnects?|InfiniBand|network-?on-?chip)\b3557 weight: 0.73558 field: both3559 - pattern: (?i)\b(peer-?to-?peer|P2P\b|overlay networks?|volunteer computing|grid computing|cluster computing|utility computing|desktop grid|BOINC|BitTorrent|DHTs?\b|Chord|Kademlia|gossip-?based)\b3560 weight: 0.83561 field: both3562 - pattern: (?i)\b(multi-?core|many-?core|multi-?threaded|multithreading|lock-?free|wait-?free|non-?blocking (data structures?|algorithms?)|transactional memory|synchroni[sz]ation primitives|mutex(es)?|spin-?locks?|barriers?|work[- ]stealing|parallel(i[sz]ation|ism|izing)|task (parallel|graphs?)|speedup|Amdahl|strong scaling|weak scaling|parallel efficiency|SIMD parallel|GPU (computing|programming|acceleration)|CUDA\b|OpenCL|heterogeneous computing)\b3563 weight: 0.83564 field: both3565 - pattern: (?i)\b(nodes?|clusters?|scalab(le|ility)|parallel|distributed|concurrency|replicas?|throughput|latency)\b3566 weight: 0.23567 field: both3568 exclusions:3569 - (?is)^(?!.*(comput|system|algorithm|protocol|network|server|cluster|node|GPU|processor|storage|training|software)).*\b(distributed (generation|energy resources?|lag|fibre|fiber|acoustic|temperature|parameter|load|element|order|delay|control of (power|microgrid|vehicles?|robots?)|leadership|cognition|practice|manufacturing))\b3570 related:3571 - cloud_computing3572 - edge_computing3573 - computer_networks3574 - database_systems3575 - operating_systems3576 - scientific_computing3577 - blockchain3578 - federated_learning3579 parent_of:3580 - cloud_computing3581 - edge_computing3582 child_of: []3583 provenance: T10715 and T10772 (subfield 1705) are the OpenAlex hosts; T10054 (parallel/HPC) is shared with architecture and scientific computing. TPDS/JPDC/IPDPS/PODC/SPAA/Euro-Par/ICS/HPDC/ICDCS/Middleware are the pure venues; cs.DC suffices.3584- id: cloud_computing3585 number: 233586 name: Cloud Computing3587 area: data_distributed3588 definition: 'Computing delivered as elastic, multi-tenant, on-demand services: IaaS/PaaS/SaaS and serverless, virtualisation and containers, resource provisioning and auto-scaling, SLAs and pricing, cloud-native architectures, data-centre resource management, cloud security and migration. A child of distributed_computing; placement at the network edge is edge_computing.'3589 openalex_topics:3590 - id: T101013591 weight: 1.03592 note: cloud computing and resource management (VMs, serverless, data centres)3593 - id: T140673594 weight: 1.03595 note: cloud computing and remote desktop technologies3596 - id: T116143597 weight: 0.63598 note: cloud data security solutions3599 - id: T121273600 weight: 0.63601 note: software system performance (microservices, cloud-native, AIOps)3602 - id: T106793603 weight: 0.63604 note: service-oriented architecture and web services3605 - id: T102733606 weight: 0.43607 note: IoT and edge/fog (cloud-edge)3608 - id: T140983609 weight: 0.43610 note: energy efficiency in computing (data centres)3611 - id: T107153612 weight: 0.33613 note: distributed and parallel computing (grid)3614 - id: T111813615 weight: 0.23616 note: data storage technologies3617 - id: T127993618 weight: 0.23619 note: mobile and web applications3620 - id: T122383621 weight: 0.23622 note: green IT (green data centres)3623 openalex_subfields: []3624 arxiv_categories:3625 - id: cs.DC3626 weight: 0.63627 - id: cs.NI3628 weight: 0.13629 - id: cs.SE3630 weight: 0.13631 - id: cs.PF3632 weight: 0.23633 dblp_streams:3634 - key: journals/tcc3635 weight: 1.03636 - key: conf/cloud3637 weight: 1.03638 - key: conf/socc3639 weight: 1.03640 - key: conf/ucc3641 weight: 1.03642 - key: conf/ic2e3643 weight: 1.03644 - key: journals/tsc3645 weight: 0.83646 - key: conf/icws3647 weight: 0.83648 - key: conf/ccgrid3649 weight: 0.63650 - key: journals/fgcs3651 weight: 0.53652 - key: journals/cluster3653 weight: 0.53654 - key: journals/tnsm3655 weight: 0.43656 - key: conf/eurosys3657 weight: 0.43658 - key: conf/nsdi3659 weight: 0.43660 - key: conf/usenix3661 weight: 0.43662 - key: conf/middleware3663 weight: 0.43664 - key: journals/jnca3665 weight: 0.43666 - key: conf/osdi3667 weight: 0.33668 - key: conf/hpcc3669 weight: 0.33670 - key: journals/tjs3671 weight: 0.33672 - key: journals/concurrency3673 weight: 0.33674 - key: journals/scpe3675 weight: 0.33676 - key: journals/tsusc3677 weight: 0.33678 - key: journals/suscom3679 weight: 0.33680 - key: journals/tpds3681 weight: 0.23682 - key: journals/jsa3683 weight: 0.23684 - key: conf/icdcs3685 weight: 0.23686 - key: conf/sc3687 weight: 0.13688 - key: journals/computing3689 weight: 0.23690 - key: conf/aina3691 weight: 0.33692 keywords:3693 - pattern: (?i)\bcloud(-?based|-?native| computing| services?| providers?| infrastructures?| platforms?| data ?cent(er|re)s?| storage| resources?| workloads?| environments?| applications?| deployments?| migration| security| gaming| robotics| servers?| tenants?| customers?| costs?| pricing| offloading| continuum| vendors?| APIs?| regions?| instances?| orchestration| bursting| federation| brokers?)\b3694 weight: 1.03695 field: both3696 - pattern: (?i)\b(serverless|function-?as-?a-?service|FaaS\b|infrastructure-?as-?a-?service|IaaS\b|platform-?as-?a-?service|PaaS\b|software-?as-?a-?service|SaaS\b|multi-?cloud|hybrid cloud|cloud-?edge|edge-?cloud|virtual machines?|VMs?\b|virtuali[sz]ation|hypervisors?|containers?|containeri[sz]ed|Docker|Kubernetes|K8s|container orchestration|auto-?scaling|autoscal\w+|elastic(ity)? (provisioning|scaling|resources?)|service[- ]level (agreements?|objectives?)|SLAs?\b|SLOs?\b|multi-?tenan(t|cy)|resource provisioning|VM (placement|consolidation|migration|scheduling|allocation)|live migration|workload (prediction|consolidation|characteri[sz]ation|placement)|spot instances?|cloud (cost|FinOps)|pay-?as-?you-?go|data ?cent(er|re) (scheduling|networks?|resource|management|operators?|utili[sz]ation))\b3697 weight: 1.03698 field: both3699 - pattern: (?i)\b(AWS|Amazon (EC2|S3|Lambda|Web Services)|Microsoft Azure|Google Cloud|GCP\b|OpenStack|CloudSim|web services?|service-?oriented (architecture|computing)|service (composition|selection|discovery|mesh)|SOA\b|microservices?|cloud-?computing|Infrastructure as Code|Terraform|DevOps for cloud|cloud-?native (applications?|systems?))\b3700 weight: 0.73701 field: both3702 - pattern: (?i)\b(data ?cent(er|re)s?|hyperscal(e|ers?)|warehouse-?scale)\b3703 weight: 0.63704 field: both3705 - pattern: (?i)\b(virtuali[sz]ed|hosted|on-?demand|elastic|scalable services?|tenants?)\b3706 weight: 0.23707 field: both3708 exclusions:3709 - (?is)^(?!.*(computing|comput|server|data ?cent|virtual|service|storage|infrastructure|platform|deployment|workload|software)).*\b(point clouds?|cloud (cover|droplets?|condensation|physics|microphysics|radiative|albedo|forcing|seeding|chamber|water|base|top|height|fraction|layers?|types?|formation)|molecular cloud|electron cloud|Oort cloud|dust cloud|cloud(s)? (and|in) (climate|atmosphere|precipitation))\b3710 related:3711 - distributed_computing3712 - edge_computing3713 - operating_systems3714 - computer_networks3715 - sustainable_computing3716 - cybersecurity3717 parent_of: []3718 child_of:3719 - distributed_computing3720 provenance: T10101 keywords list cloud computing, virtualization, serverless, SLAs, data centers. TCC/SoCC/UCC/IC2E pure; systems venues partial. Meteorological and point-cloud senses of 'cloud' are vetoed when no computing term co-occurs.3721- id: edge_computing3722 number: 243723 name: Edge Computing3724 area: data_distributed3725 definition: 'Computation placed near data sources and users: edge/fog/MEC architectures, computation offloading, on-device and TinyML inference, edge-cloud collaboration and split computing, IoT platforms as computing substrates, latency-critical edge services, edge caching and orchestration. Radio access and protocols are computer_networks; model compression as such is deep_learning_architectures or ai_accelerators.'3726 openalex_topics:3727 - id: T102733728 weight: 1.03729 note: IoT and edge/fog computing (offloading, MEC, edge AI)3730 - id: T130383731 weight: 0.63732 note: Internet of Things and AI3733 - id: T120793734 weight: 0.43735 note: IoT networks and protocols3736 - id: T134203737 weight: 0.33738 note: Arduino and IoT applications3739 - id: T135353740 weight: 0.33741 note: wireless sensor networks and IoT3742 - id: T135413743 weight: 0.33744 note: IoT-based control systems3745 - id: T139243746 weight: 0.33747 note: IoT and social network interactions3748 - id: T100803749 weight: 0.33750 note: energy-efficient wireless sensor networks3751 - id: T101013752 weight: 0.23753 note: cloud computing (cloud-edge)3754 - id: T124063755 weight: 0.23756 note: IoT and GPS vehicle safety3757 - id: T109043758 weight: 0.13759 note: embedded systems design3760 - id: T139183761 weight: 0.33762 note: advanced data and IoT technologies3763 - id: T117043764 weight: 0.23765 note: mobile crowdsensing3766 openalex_subfields: []3767 arxiv_categories:3768 - id: cs.DC3769 weight: 0.43770 - id: cs.NI3771 weight: 0.43772 - id: eess.SP3773 weight: 0.13774 - id: cs.AR3775 weight: 0.13776 dblp_streams:3777 - key: conf/sec3778 weight: 1.03779 - key: conf/iotdi3780 weight: 0.83781 - key: journals/iotj3782 weight: 0.63783 - key: journals/iot3784 weight: 0.63785 - key: conf/percom3786 weight: 0.63787 - key: conf/wf-iot3788 weight: 0.63789 - key: conf/ithings3790 weight: 0.53791 - key: conf/uic3792 weight: 0.43793 - key: conf/mobisys3794 weight: 0.43795 - key: conf/sensys3796 weight: 0.43797 - key: conf/ipsn3798 weight: 0.43799 - key: conf/ewsn3800 weight: 0.43801 - key: journals/ijdsn3802 weight: 0.43803 - key: conf/dasc3804 weight: 0.33805 - key: journals/tmc3806 weight: 0.33807 - key: journals/tcc3808 weight: 0.33809 - key: journals/fgcs3810 weight: 0.33811 - key: journals/ett3812 weight: 0.33813 - key: journals/jnca3814 weight: 0.33815 - key: journals/tecs3816 weight: 0.33817 - key: conf/aina3818 weight: 0.33819 - key: conf/infocom3820 weight: 0.23821 - key: journals/tnsm3822 weight: 0.23823 - key: journals/tii3824 weight: 0.23825 - key: conf/icdcs3826 weight: 0.23827 - key: conf/hpcc3828 weight: 0.23829 - key: conf/ispa3830 weight: 0.23831 - key: journals/tvt3832 weight: 0.13833 - key: journals/jsac3834 weight: 0.13835 - key: journals/ton3836 weight: 0.13837 - key: conf/ieeesensors3838 weight: 0.13839 - key: journals/sensors3840 weight: 0.13841 - key: journals/tgcn3842 weight: 0.23843 - key: journals/tccn3844 weight: 0.13845 - key: journals/wc3846 weight: 0.23847 - key: journals/network3848 weight: 0.23849 - key: conf/metroi3850 weight: 0.33851 - key: journals/tnse3852 weight: 0.13853 keywords:3854 - pattern: (?i)\b(edge|fog|mist|mobile[- ]edge|multi-?access edge|edge-?cloud|cloud-?edge|device-?edge-?cloud|edge-?to-?cloud|far[- ]edge|cloudlet|vehicular edge|satellite edge|serverless edge) (computing|intelligence|AI|inference|servers?|nodes?|devices?|deployment|caching|offloading|learning|networks?|resources?|orchestration|analytics|clusters?|platforms?|services?|applications?|continuum|infrastructures?|data ?cent(er|re)s?|scheduling|placement|training|LLMs?)\b|\bMEC\b|\bcloudlets?\b3855 weight: 1.03856 field: both3857 - pattern: (?i)\b(computation(al)?|task|workload|service|DNN|inference|model|function) offloading\b|\boffloading (decisions?|strategies|policies|schemes?)\b3858 weight: 1.03859 field: both3860 - pattern: (?i)\b(on-?device (AI|inference|learning|training|machine learning|deep learning|LLMs?|language models?|processing)|TinyML|microcontrollers?|MCUs?\b|resource-?constrained (devices?|IoT|hardware|environments?)|embedded (AI|inference|deep learning|machine learning|neural)|IoT (devices?|edge|gateways?|platforms?|architectures?|applications?|systems?|analytics|middleware)|Internet of (Things|Vehicles|Medical Things|Everything)|IIoT|cyber-?physical systems?|CPS\b|digital twins?|smart (cities|homes?|factor(y|ies)|grids?|manufacturing|agriculture|buildings?|campus)|Industry 4\.0|AIoT)\b3861 weight: 0.73862 field: both3863 - pattern: (?i)\b(latency-?sensitive|latency-?critical|ultra-?low latency|edge-?native|edge (AI|ML)|split (computing|inference|learning)|early[- ]exit|model partitioning|DNN partitioning|collaborative (inference|edge)|device-?cloud (collaboration|synergy)|edge-?assisted|edge-?enabled|near-?user|in-?network computing|in-?situ processing|data locality at the edge|mobile cloud computing|MCC\b|cloudlets?|micro ?data ?cent(er|re)s?|service placement|application placement|container orchestration at the edge|KubeEdge|OpenFaaS|edge orchestrat)\b3864 weight: 0.83865 field: both3866 - pattern: (?i)\b(fog|edge|IoT|offload\w*|devices?|sensors?|gateways?)\b3867 weight: 0.33868 field: both3869 exclusions:3870 - (?is)^(?!.*(comput|offload|inference|IoT|device|server|latency|cloud|network|processing|deployment)).*\b(edge (detection|states?|modes?|effects?|dislocations?|plasma|localized|of (the|a) (wafer|chaos|cliff|forest|field|table|sample|crack|blade|flange))|band edge|leading edge|trailing edge|cutting-?edge|knife-?edge|edge (finishing|trimming|cracks?))\b3871 related:3872 - cloud_computing3873 - computer_networks3874 - federated_learning3875 - ai_accelerators3876 - sustainable_computing3877 - robotics3878 - distributed_computing3879 parent_of: []3880 child_of:3881 - distributed_computing3882 provenance: T10273 keywords list edge computing, fog computing, MEC, task offloading, edge AI; IoT topics (1705, 1710, 2208) included at 0.3-0.6 because IoT papers often treat edge placement. SEC and IoTDI are the dedicated streams; IoT-J and PerCom partial. Geometric/physics senses of 'edge' vetoed when no computing term co-occurs.3883- id: computer_networks3884 number: 253885 name: Computer Networks3886 area: data_distributed3887 definition: 'Design, protocols, measurement and performance of communication networks: Internet architecture and transport, routing, wireless and mobile networks, 5G/6G and software-defined networking, network management, sensor and vehicular networks, content delivery and caching, network coding and information theory applied to networking. Physical-layer signal processing is included only when framed as networking.'3888 openalex_topics:3889 - id: T101383890 weight: 1.03891 note: network traffic and congestion control3892 - id: T102463893 weight: 1.03894 note: mobile ad hoc networks3895 - id: T105753896 weight: 1.03897 note: wireless communication networks research3898 - id: T107143899 weight: 1.03900 note: software-defined networks and 5G3901 - id: T111583902 weight: 1.03903 note: wireless networks and protocols3904 - id: T114783905 weight: 1.03906 note: caching and content delivery3907 - id: T118963908 weight: 1.03909 note: opportunistic and delay-tolerant networks3910 - id: T135533911 weight: 1.03912 note: age of information optimization3913 - id: T107613914 weight: 1.03915 note: vehicular ad hoc networks3916 - id: T123263917 weight: 0.93918 note: network packet processing3919 - id: T106513920 weight: 0.93921 note: IPv6, mobility, handover, networks, security3922 - id: T100803923 weight: 0.83924 note: energy-efficient wireless sensor networks3925 - id: T105793926 weight: 0.83927 note: cognitive radio networks and spectrum sensing3928 - id: T107963929 weight: 0.83930 note: cooperative communication and network coding3931 - id: T128013932 weight: 0.83933 note: Bluetooth and wireless technologies3934 - id: T114093935 weight: 0.83936 note: advanced wireless network optimization3937 - id: T120793938 weight: 0.83939 note: IoT networks and protocols3940 - id: T102323941 weight: 0.73942 note: optical network technologies3943 - id: T108473944 weight: 0.73945 note: advanced optical network technologies3946 - id: T122033947 weight: 0.63948 note: mobile agent-based network management3949 - id: T114983950 weight: 0.63951 note: security in wireless sensor networks3952 - id: T101253953 weight: 0.63954 note: advanced wireless communication techniques3955 - id: T119323956 weight: 0.63957 note: wireless body area networks3958 - id: T135353959 weight: 0.63960 note: wireless sensor networks and IoT3961 - id: T104003962 weight: 0.53963 note: network security and intrusion detection3964 - id: T108293965 weight: 0.53966 note: interconnection networks3967 - id: T107423968 weight: 0.53969 note: peer-to-peer networks3970 - id: T128793971 weight: 0.53972 note: distributed sensor networks and detection3973 - id: T143533974 weight: 0.53975 note: wireless sensor networks for data analysis3976 - id: T122163977 weight: 0.53978 note: network time synchronization3979 - id: T115983980 weight: 0.53981 note: Internet traffic analysis3982 - id: T120423983 weight: 0.53984 note: satellite communication systems3985 - id: T113213986 weight: 0.53987 note: error-correcting code techniques3988 - id: T114583989 weight: 0.53990 note: advanced wireless communication technologies3991 - id: T113923992 weight: 0.53993 note: energy harvesting in wireless networks3994 - id: T127913995 weight: 0.53996 note: full-duplex wireless3997 - id: T109643998 weight: 0.53999 note: wireless communication security4000 - id: T101484001 weight: 0.44002 note: advanced MIMO systems4003 - id: T108514004 weight: 0.44005 note: optical wireless communication4006 - id: T121314007 weight: 0.44008 note: wireless signal modulation classification4009 - id: T111304010 weight: 0.34011 note: coding theory and cryptography4012 - id: T107114013 weight: 0.34014 note: target tracking and data fusion in sensor networks4015 - id: T102734016 weight: 0.34017 note: IoT and edge/fog computing4018 - id: T117974019 weight: 0.34020 note: graph theory and CDMA systems4021 - id: T107674022 weight: 0.34023 note: advanced photonic communication systems4024 openalex_subfields:4025 - id: 17054026 weight: 0.34027 arxiv_categories:4028 - id: cs.NI4029 weight: 1.04030 - id: cs.IT4031 weight: 0.54032 - id: math.IT4033 weight: 0.54034 - id: eess.SP4035 weight: 0.34036 dblp_streams:4037 - key: journals/ton4038 weight: 1.04039 - key: journals/cn4040 weight: 1.04041 - key: journals/tmc4042 weight: 1.04043 - key: conf/infocom4044 weight: 1.04045 - key: conf/sigcomm4046 weight: 1.04047 - key: conf/conext4048 weight: 1.04049 - key: conf/imc4050 weight: 1.04051 - key: conf/mobihoc4052 weight: 1.04053 - key: conf/wowmom4054 weight: 1.04055 - key: conf/lcn4056 weight: 1.04057 - key: conf/icnp4058 weight: 1.04059 - key: conf/mobicom4060 weight: 1.04061 - key: conf/ewsn4062 weight: 1.04063 - key: conf/mass4064 weight: 1.04065 - key: conf/icc4066 weight: 1.04067 - key: conf/globecom4068 weight: 1.04069 - key: conf/wcnc4070 weight: 1.04071 - key: conf/pimrc4072 weight: 1.04073 - key: journals/tnsm4074 weight: 1.04075 - key: journals/comcom4076 weight: 1.04077 - key: journals/winet4078 weight: 1.04079 - key: journals/adhoc4080 weight: 1.04081 - key: journals/wpc4082 weight: 1.04083 - key: journals/network4084 weight: 1.04085 - key: journals/cm4086 weight: 1.04087 - key: journals/comsur4088 weight: 1.04089 - key: journals/wc4090 weight: 1.04091 - key: journals/ijcomsys4092 weight: 1.04093 - key: journals/tccn4094 weight: 1.04095 - key: journals/monet4096 weight: 1.04097 - key: journals/ejwcn4098 weight: 1.04099 - key: journals/telsys4100 weight: 1.04101 - key: journals/wicomm4102 weight: 1.04103 - key: conf/noms4104 weight: 1.04105 - key: conf/iwcmc4106 weight: 1.04107 - key: conf/ccnc4108 weight: 1.04109 - key: conf/comsnets4110 weight: 1.04111 - key: conf/icoin4112 weight: 1.04113 - key: conf/icccn4114 weight: 1.04115 - key: conf/iscc4116 weight: 1.04117 - key: conf/eucnc4118 weight: 1.04119 - key: journals/rfc4120 weight: 1.04121 - key: conf/nsdi4122 weight: 0.84123 - key: conf/ipsn4124 weight: 0.84125 - key: conf/vtc4126 weight: 0.84127 - key: journals/jsac4128 weight: 0.84129 - key: journals/tcom4130 weight: 0.84131 - key: journals/twc4132 weight: 0.84133 - key: journals/jnca4134 weight: 0.84135 - key: journals/icl4136 weight: 0.84137 - key: journals/wcl4138 weight: 0.84139 - key: journals/iet-com4140 weight: 0.84141 - key: journals/ieicet4142 weight: 0.84143 - key: journals/ett4144 weight: 0.84145 - key: journals/phycomm4146 weight: 0.84147 - key: journals/ojcs4148 weight: 0.84149 - key: conf/wcsp4150 weight: 0.84151 - key: journals/ieicetb4152 weight: 0.84153 - key: journals/jocn4154 weight: 0.84155 - key: conf/IEEEants4156 weight: 0.84157 - key: conf/isncc4158 weight: 0.84159 - key: conf/iccchina4160 weight: 0.84161 - key: conf/mobisys4162 weight: 0.74163 - key: conf/sensys4164 weight: 0.74165 - key: journals/fi4166 weight: 0.74167 - key: journals/ijdsn4168 weight: 0.74169 - key: conf/milcom4170 weight: 0.74171 - key: journals/tvt4172 weight: 0.64173 - key: journals/iotj4174 weight: 0.64175 - key: journals/tnse4176 weight: 0.64177 - key: journals/tgcn4178 weight: 0.64179 - key: conf/icton4180 weight: 0.64181 - key: journals/ppna4182 weight: 0.64183 - key: journals/iot4184 weight: 0.64185 - key: conf/icct4186 weight: 0.64187 - key: conf/bmsb4188 weight: 0.64189 - key: conf/spawc4190 weight: 0.64191 - key: journals/tit4192 weight: 0.54193 - key: conf/isit4194 weight: 0.54195 - key: conf/ofc4196 weight: 0.54197 - key: conf/ecoc4198 weight: 0.54199 - key: journals/mis4200 weight: 0.54201 - key: conf/icccnt4202 weight: 0.54203 - key: conf/ictc4204 weight: 0.54205 - key: journals/itiis4206 weight: 0.54207 - key: journals/sensors4208 weight: 0.34209 - key: conf/acssc4210 weight: 0.34211 - key: journals/tsp4212 weight: 0.24213 - key: conf/itw4214 weight: 0.54215 - key: journals/entropy4216 weight: 0.14217 - key: conf/icact4218 weight: 0.54219 - key: journals/tetc4220 weight: 0.14221 - key: conf/percom4222 weight: 0.34223 - key: conf/wf-iot4224 weight: 0.44225 - key: journals/js4226 weight: 0.34227 - key: conf/ieeesensors4228 weight: 0.24229 keywords:4230 - pattern: (?i)\b(computer|wireless|mobile|cellular|vehicular|sensor|ad[- ]hoc|mesh|satellite|optical|software-?defined|data ?cent(er|re)|core|access|backbone|overlay|delay-?tolerant|body area|underwater|LoRa(WAN)?|5G|6G|NB-?IoT|LTE|Wi-?Fi|IP|content-?centric|named data|information-?centric|non-?terrestrial|integrated|heterogeneous|programmable|intent-?based|self-?driving|zero-?touch|open radio access|radio access|time-?sensitive|deterministic|in-?vehicle|home|campus|enterprise|wide area|local area|personal area|low-?power wide|multi-?hop|peer-?to-?peer) networks?\b|\bnetworking\b4231 weight: 1.04232 field: both4233 - pattern: (?i)\b(TCP|UDP|QUIC|BGP|OSPF|IPv[46]|MPTCP|routing (protocols?|algorithms?|tables?)|congestion control|packet (loss|scheduling|processing|classification|forwarding|switching|headers?)|MAC (protocols?|layer)|medium access control|network (protocols?|topolog(y|ies)|slicing|function virtuali[sz]ation|measurement|traffic|management|coding|calculus|simulation|emulation|performance|planning|operators?|infrastructure|stack|layers?|devices?|interfaces?|cards?|services?|automation|digital twins?|telemetry|monitoring|tomography|utility|economics)|NFV\b|SDN\b|OpenFlow|P4\b|programmable (switches|data planes?)|data plane|control plane|traffic (engineering|classification|prediction|shaping|analysis)|quality of service|QoS\b|QoE\b|throughput|end-?to-?end (delay|latency)|bandwidth allocation|spectrum (sharing|allocation|sensing|management)|channel (allocation|assignment|access)|beamforming|MIMO|massive MIMO|OFDM(A)?|NOMA|RIS-?(aided|assisted)|reconfigurable intelligent surfaces?|mmWave|millimeter[-4234 ]wave|THz communications?|channel estimation|resource allocation (in|for) (wireless|cellular|5G|6G|networks?)|handover|handoff|base stations?|small cells|user equipment|O-?RAN|Open RAN|RAN\b|Wi-?Fi|802\.11|802\.15|Bluetooth|BLE\b|Zigbee|LTE|5G NR|NR\b|age of information|AoI\b|URLLC|eMBB|mMTC|network (densification|coverage)|cell-?free|D2D\b|device-?to-?device|V2X|V2V|vehicular communications?|CDN\b|content delivery|edge caching|multicast|anycast|DNS\b|CDNs?|middleboxes?|NAT\b|firewalls? (rules|placement)|DDoS mitigation at|interdomain|AS-?level|Internet (measurement|topology|routing|architecture|protocols?|traffic|outages?|censorship|of Things)|RTT\b|jitter|bufferbloat|active queue management|flow (scheduling|completion time|tables?)|load balancing in (data ?cent|networks?)|RDMA networks?|InfiniBand|optical (networks?|switching|transport|access)|PON\b|passive optical|wavelength (division|assignment)|WDM|free-?space optical|visible light communication|VLC\b|LiFi|underwater (acoustic|communication)|satellite4235 (networks?|communications?|constellations?)|LEO (satellite|constellation)|UAV (networks?|communications?|relays?)|network (security|intrusion) in|wireless (security|jamming|eavesdropping)|physical layer security|cross-?layer|protocol (design|stack|verification))\b4236 weight: 0.94237 field: both4238 - pattern: (?i)\b(information theory|channel capacity|coding theorem|error[- ]correcting codes?|channel codes?|LDPC|polar codes?|turbo codes?|rate-?distortion|source coding|network coding|index coding|coded caching|compressed sensing for|Shannon|mutual information bounds|outage probability|ergodic capacity|secrecy capacity|wiretap)\b4239 weight: 0.64240 field: both4241 - pattern: (?i)\b(intrusion detection|DDoS|network security|anomaly detection in network|botnets?|traffic anomaly)\b4242 weight: 0.44243 field: both4244 - pattern: (?i)(?<!neural )(?<!Neural )(?<!social )(?<!Social )(?<!citation )(?<!graph neural )(?<!Bayesian )(?<!bayesian )(?<!regulatory )(?<!gene )(?<!road )(?<!power )(?<!supply )(?<!transport )(?<!transportation )(?<!water )(?<!brain )\b(networks?|Internet|wireless|protocols?|routing|packets?|latency|bandwidth|antennas?|transceivers?|links?|channels?|relays?)\b4245 weight: 0.24246 field: both4247 exclusions: []4248 related:4249 - distributed_computing4250 - edge_computing4251 - cybersecurity4252 - cloud_computing4253 - applied_cryptography4254 parent_of: []4255 child_of: []4256 provenance: 43 topics of OpenAlex subfield 1705 reviewed (networking ones at 0.5-1.0, non-networking ones such as T13745 media studies or T11187 nonlinear dynamics left unmapped) plus Engineering 2208 wireless/optical topics at 0.3-0.8. ToN/CN/TMC/INFOCOM/SIGCOMM/CoNEXT/IMC/MobiHoc pure; ICC/GLOBECOM/WCNC/PIMRC counted as networking venues although they also carry physical-layer work.4257- id: cybersecurity4258 number: 264259 name: Cybersecurity4260 area: security_privacy4261 definition: 'Protecting computing systems, networks, software and users from attack: vulnerability discovery and exploitation, malware and intrusion detection, authentication and access control, system and hardware security, web and mobile security, digital forensics, security of AI systems, security operations and human factors of security. Cryptographic primitives and protocols are applied_cryptography; data-protection techniques are privacy_preserving_computation.'4262 openalex_topics:4263 - id: T104004264 weight: 1.04265 note: network security and intrusion detection4266 - id: T107344267 weight: 1.04268 note: information and cyber security4269 - id: T139834270 weight: 1.04271 note: cybersecurity and information systems4272 - id: T112414273 weight: 1.04274 note: advanced malware detection4275 - id: T116444276 weight: 1.04277 note: spam and phishing detection4278 - id: T124794279 weight: 1.04280 note: web application security vulnerabilities4281 - id: T120344282 weight: 1.04283 note: digital and cyber forensics4284 - id: T118004285 weight: 0.94286 note: user authentication and security systems4287 - id: T114244288 weight: 0.84289 note: security and verification in computing (TEEs, OS security)4290 - id: T125194291 weight: 0.84292 note: cybercrime and law enforcement4293 - id: T121224294 weight: 0.74295 note: PUFs and hardware security4296 - id: T114984297 weight: 0.74298 note: security in wireless sensor networks4299 - id: T122214300 weight: 0.74301 note: cybersecurity and cyber warfare studies4302 - id: T115044303 weight: 0.64304 note: advanced authentication protocols4305 - id: T116144306 weight: 0.64307 note: cloud data security4308 - id: T103884309 weight: 0.64310 note: steganography and watermarking4311 - id: T109174312 weight: 0.64313 note: smart grid security and resilience4314 - id: T109644315 weight: 0.64316 note: wireless communication security4317 - id: T139994318 weight: 0.64319 note: digital rights management4320 - id: T108284321 weight: 0.64322 note: biometric identification and security4323 - id: T109274324 weight: 0.64325 note: access control and trust4326 - id: T102374327 weight: 0.54328 note: cryptography and data security4329 - id: T123574330 weight: 0.54331 note: digital media forensic detection4332 - id: T140424333 weight: 0.54334 note: technology and security systems4335 - id: T116894336 weight: 0.44337 note: adversarial robustness (ML security)4338 - id: T110454339 weight: 0.44340 note: privacy, security and data protection4341 - id: T115984342 weight: 0.44343 note: Internet traffic analysis and secure e-voting4344 - id: T109514345 weight: 0.44346 note: cryptographic implementations (side channels)4347 - id: T110174348 weight: 0.34349 note: chaos-based image encryption4350 - id: T129434351 weight: 0.34352 note: COVID-19 contact tracing4353 - id: T132704354 weight: 0.24355 note: QR code applications4356 - id: T102704357 weight: 0.24358 note: blockchain security4359 - id: T121314360 weight: 0.24361 note: wireless signal modulation classification (spectrum security)4362 - id: T115124363 weight: 0.34364 note: anomaly detection techniques (intrusion/fraud detection)4365 openalex_subfields: []4366 arxiv_categories:4367 - id: cs.CR4368 weight: 1.04369 dblp_streams:4370 - key: conf/ccs4371 weight: 1.04372 - key: conf/uss4373 weight: 1.04374 - key: conf/sp4375 weight: 1.04376 - key: conf/ndss4377 weight: 1.04378 - key: conf/esorics4379 weight: 1.04380 - key: conf/raid4381 weight: 1.04382 - key: conf/acsac4383 weight: 1.04384 - key: journals/tdsc4385 weight: 1.04386 - key: journals/compsec4387 weight: 1.04388 - key: journals/istr4389 weight: 1.04390 - key: journals/ijisec4391 weight: 1.04392 - key: journals/scn4393 weight: 1.04394 - key: conf/IEEEares4395 weight: 1.04396 - key: conf/eurosp4397 weight: 1.04398 - key: journals/jcs4399 weight: 1.04400 - key: conf/pst4401 weight: 1.04402 - key: journals/tifs4403 weight: 0.94404 - key: conf/trustcom4405 weight: 0.94406 - key: journals/dud4407 weight: 0.84408 - key: conf/icccsec4409 weight: 0.64410 - key: conf/dsn4411 weight: 0.54412 - key: journals/tches4413 weight: 0.54414 - key: conf/fc4415 weight: 0.54416 - key: journals/popets4417 weight: 0.44418 - key: conf/satml4419 weight: 0.44420 - key: journals/iacr4421 weight: 0.34422 - key: journals/cr4423 weight: 0.24424 - key: journals/tnsm4425 weight: 0.14426 - key: journals/tr4427 weight: 0.14428 keywords:4429 - pattern: (?i)\b(cyber-?security|information security|computer security|network security|systems? security|software security|web security|hardware security|mobile security|IoT security|cloud security|application security|security (vulnerabilit(y|ies)|analysis|evaluation|assessment|threats?|attacks?|flaws?|breaches?|incidents?|monitoring|operations?|awareness|polic(y|ies)|engineering|testing|protocols?|mechanisms?|guarantees|properties|controls?|risks?|requirements|patches?|advisories|researchers?|practitioners?|tools?|audits?|hardening|posture)|secure (systems?|software|coding|boot|enclaves?|hardware|communication|channels?|protocols?|messaging|design|by design|updates?|storage|execution))\b4430 weight: 1.04431 field: both4432 - pattern: (?i)\b(malware|ransomware|botnets?|phishing|spam (detection|filtering)|intrusion (detection|prevention|response)|IDS\b|IPS\b|NIDS|HIDS|DDoS|denial[- ]of[- ]service|exploits?|exploitation|zero-?day|vulnerabilit(y|ies)|CVE-?\d+|CWE\b|buffer overflows?|memory (safety|corruption|errors?) (bugs?|vulnerabilit)|use-?after-?free|ROP\b|return-?oriented|control-?flow (integrity|hijack)|CFI\b|side-?channel|Spectre|Meltdown|Rowhammer|cache (timing|attacks?)|fault injection attacks?|glitching|penetration testing|pentest|red team|blue team|threat (intelligence|hunting|model(ing|s)?|actors?|landscape)|attack (surface|graphs?|vectors?|trees?|scenarios?|detection|campaigns?)|APTs?\b|advanced persistent threats?|cyber-?attacks?|cyber ?threats?|cyber ?defen[cs]e|cyber ?warfare|cyber ?crime|cyber ?resilience|cyber ?range|forensics?|honeypots?|honeynets?|sandbox(ing)? (analysis|evasion)|binary (analysis|rewriting|hardening|lifting)|reverse engineering|firmware (analysis|security|rehosting)|supply[-4433 ]chain (attacks?|security)|SBOM|software bill of materials|dependency confusion|typosquatting|code injection|SQL injection|XSS\b|cross-?site|CSRF|clickjacking|browser (security|fingerprinting)|web tracking|ad fraud|click fraud|credential (stuffing|theft)|password (cracking|managers?|policies|strength)|account (takeover|hijacking)|SIM swap|social engineering|security (information and event|operations center)|SIEM|SOC\b|EDR\b|XDR\b|log-?based detection|anomaly-?based detection|signature-?based|evasion attacks?|obfuscation|packers?|deobfuscation|anti-?virus|endpoint (protection|security)|patch(ing)? (management|latency)|bug bount(y|ies)|responsible disclosure|CTF\b|capture the flag|ethical hacking|vulnerability (scanning|assessment|management|disclosure|discovery|detection|prediction)|exploit (generation|mitigation)|ASLR|stack canaries|secure (compilation|compilers?)|moving target defense|deception technology|cyber (insurance|risk)|ICS security|SCADA security|OT security|automotive security|CAN4434 bus (attacks?|intrusion)|drone (security|hijacking)|GPS spoofing|medical device security|smart contract (vulnerabilit|exploits?|attacks?)|DeFi (attacks?|exploits?)|rug pull|flash loan attacks?)\b4435 weight: 1.04436 field: both4437 - pattern: (?i)\b(authentication|access control|authori[sz]ation|identity (management|and access)|biometric (authentication|security|spoofing)|password(s|-based)?|multi-?factor|two-?factor|2FA|MFA\b|CAPTCHA|single sign-?on|SSO\b|OAuth|OpenID|FIDO2?|WebAuthn|passkeys?|zero[- ]trust|trusted execution environments?|TEEs?\b|SGX\b|TrustZone|SEV\b|TDX\b|confidential computing|remote attestation|PUFs?\b|physical(ly)? unclonable|hardware (trojans?|root of trust|security modules?)|HSMs?\b|TPM\b|secure (boot|element)|anti-?tamper|logic locking|IC (piracy|counterfeit)|RBAC|ABAC|capability-?based security|information flow (control|security)|non-?interference|sandboxing|isolation (mechanisms|boundaries)|privilege (escalation|separation)|least privilege|Android (permissions?|malware|security)|iOS security|app (permissions?|vetting|stores? security)|mobile (malware|banking trojans?))\b4438 weight: 0.84439 field: both4440 - pattern: (?i)\b(adversarial (attacks?|examples?|machine learning|ML)|backdoor(s|ed)?|trojan(ed|ing)? (models?|neural)|data poisoning|model (stealing|inversion|extraction|hijacking)|membership inference|prompt injection|jailbreak(s|ing)?|LLM (security|attacks?)|AI security|security of (LLMs?|AI|machine learning|ML models?|deep learning)|ML-?based (intrusion|malware|anomaly) detection|deep learning for (security|malware|intrusion)|adversarial malware|evasion of (classifiers|detectors)|deepfake (detection|attacks?)|AI-?generated (phishing|malware)|LLM-?generated attacks?|agent (security|hijacking)|MCP security|tool poisoning)\b4441 weight: 0.84442 field: both4443 - pattern: (?i)\b(steganograph(y|ic)|steganalysis|watermark(ing|s)?|digital forensics?|memory forensics|disk forensics|network forensics|mobile forensics|anti-?forensics?|tamper(ing)? detection|image (forgery|manipulation) detection|provenance of media|C2PA|content authenticity|e-?voting security|election security|secure voting)\b4444 weight: 0.74445 field: both4446 - pattern: (?i)\b(security|secure|privacy|attack(s|ers?)?|adversar(y|ies|ial)|threats?|vulnerab\w+|malicious|exploit\w*|defen[cs]es?|mitigations?|detection of (attacks|intrusions)|trust(ed|worthy)?)\b4447 weight: 0.34448 field: both4449 exclusions:4450 - (?is)^(?!.*(cyber|computer|network|software|information security|system security|attack|malware|vulnerab|intrusion|authentication|cryptograph|encryption|access control|threat model)).*\b(food|energy|water|national|social|border|maritime|job|economic|financial|human|global|regional|international|homeland|tenure|livelihood|nutritional|health|supply|income|employment|housing|seed|climate|environmental|ontological|emotional|attachment|collective|state|public|private|military|defence|defense) security\b4451 related:4452 - applied_cryptography4453 - privacy_preserving_computation4454 - computer_networks4455 - ai_safety4456 - blockchain4457 - formal_verification4458 - operating_systems4459 - software_engineering4460 parent_of: []4461 child_of: []4462 provenance: '33 OpenAlex topics mapped: security topics of 1702, 1705, 1710, 1711, 1708 plus Social Sciences cyber-warfare, access control and data-protection topics at reduced weight. CCS/USENIX Security/S&P/NDSS/ESORICS/RAID/ACSAC/TDSC/Computers & Security pure; TIFS 0.9 (also media forensics); IACR ePrint 0.3 (mostly cryptography). The 1.0 keyword patterns require a computing qualifier; bare ''security'' is 0.3 and non-computing senses are vetoed when no computing term co-occurs.'4463- id: applied_cryptography4464 number: 274465 name: Applied Cryptography4466 area: security_privacy4467 definition: 'Design, analysis, implementation and deployment of cryptographic primitives and protocols: symmetric and public-key schemes, hash functions, signatures, key exchange, post-quantum cryptography, zero-knowledge proofs, secure multi-party computation and homomorphic encryption as primitives, cryptanalysis, side-channel-resistant implementations, cryptographic hardware, provable security, quantum key distribution. Deployment of these primitives for data protection is privacy_preserving_computation; ledgers are blockchain.'4468 openalex_topics:4469 - id: T102374470 weight: 1.04471 note: cryptography and data security4472 - id: T109514473 weight: 1.04474 note: cryptographic implementations and security4475 - id: T116934476 weight: 1.04477 note: cryptography and residue arithmetic4478 - id: T111304479 weight: 0.94480 note: coding theory and cryptography4481 - id: T110174482 weight: 0.74483 note: chaos-based image/signal encryption4484 - id: T100204485 weight: 0.54486 note: quantum information and cryptography4487 - id: T115044488 weight: 0.54489 note: advanced authentication protocols4490 - id: T116144491 weight: 0.44492 note: cloud data security (encrypted outsourcing)4493 - id: T121224494 weight: 0.44495 note: PUFs and hardware security4496 - id: T107644497 weight: 0.34498 note: privacy-preserving technologies (SMPC, HE)4499 - id: T102704500 weight: 0.34501 note: blockchain technology4502 - id: T118004503 weight: 0.34504 note: user authentication4505 - id: T113214506 weight: 0.24507 note: error-correcting codes4508 - id: T115984509 weight: 0.24510 note: secure e-voting4511 openalex_subfields: []4512 arxiv_categories:4513 - id: cs.CR4514 weight: 0.54515 - id: cs.IT4516 weight: 0.24517 - id: math.IT4518 weight: 0.24519 - id: quant-ph4520 weight: 0.14521 dblp_streams:4522 - key: journals/iacr4523 weight: 1.04524 - key: conf/crypto4525 weight: 1.04526 - key: conf/eurocrypt4527 weight: 1.04528 - key: conf/asiacrypt4529 weight: 1.04530 - key: conf/tcc4531 weight: 1.04532 - key: conf/pkc4533 weight: 1.04534 - key: journals/joc4535 weight: 1.04536 - key: journals/tches4537 weight: 1.04538 - key: journals/dcc4539 weight: 1.04540 - key: conf/fc4541 weight: 0.64542 - key: conf/ccs4543 weight: 0.44544 - key: conf/esorics4545 weight: 0.44546 - key: conf/uss4547 weight: 0.34548 - key: conf/sp4549 weight: 0.34550 - key: conf/ndss4551 weight: 0.34552 - key: journals/tifs4553 weight: 0.34554 - key: journals/ffa4555 weight: 0.34556 - key: journals/ijisec4557 weight: 0.34558 - key: journals/scn4559 weight: 0.34560 - key: journals/istr4561 weight: 0.34562 - key: journals/tit4563 weight: 0.24564 - key: journals/qip4565 weight: 0.24566 - key: journals/compsec4567 weight: 0.24568 - key: journals/cr4569 weight: 0.14570 - key: conf/isit4571 weight: 0.14572 - key: conf/eurosp4573 weight: 0.34574 - key: journals/tdsc4575 weight: 0.34576 - key: conf/IEEEares4577 weight: 0.24578 - key: conf/trustcom4579 weight: 0.24580 keywords:4581 - pattern: (?i)\bcryptograph(y|ic|ically|ers?)\b|\bcryptosystems?\b|\bcryptanaly(sis|tic|ses|ze|se)\b|\bcrypto(graphic)? (primitives?|schemes?|protocols?|libraries|implementations?|hardware|agility|standards?)\b4582 weight: 1.04583 field: both4584 - pattern: (?i)\b(encryption|decryption|encrypted|ciphers?|ciphertexts?|plaintexts?|digital signatures?|signature schemes?|public[- ]key|private[- ]key|secret[- ]key|symmetric[- ]key|asymmetric (encryption|cryptograph)|key (exchange|agreement|encapsulation|management|derivation|generation|distribution|recovery|schedule)|hash functions?|SHA-?(2|3|256|512)|BLAKE|AES\b|RSA\b|ECC\b|elliptic[- ]curves?|ECDSA|EdDSA|Ed25519|Curve25519|Diffie-?Hellman|discrete logarithm|lattice-?based|LWE\b|learning with errors|ring-?LWE|module-?LWE|NTRU|code-?based|McEliece|hash-?based signatures?|multivariate cryptograph|isogen(y|ies)|SIKE|CSIDH|post-?quantum|quantum-?resistant|quantum-?safe|PQC\b|Kyber|ML-?KEM|Dilithium|ML-?DSA|Falcon|SPHINCS|homomorphic|FHE\b|HE schemes?|zero-?knowledge|ZKPs?\b|zk-?SNARKs?|zk-?STARKs?|Bulletproofs|Groth16|PLONK|succinct (arguments?|proofs?)|secure multi-?party|MPC\b|secret sharing|Shamir|oblivious (transfer|RAM|PRF)|garbled circuits?|private set intersection|PSI\b|commitment4585 schemes?|identity-?based encryption|IBE\b|attribute-?based encryption|ABE\b|functional encryption|searchable encryption|proxy re-?encryption|authenticated encryption|AEAD|GCM\b|ChaCha20|Poly1305|MACs?\b|message authentication codes?|HMAC|block ciphers?|stream ciphers?|S-?boxes?|Feistel|substitution-?permutation|differential cryptanalysis|linear cryptanalysis|algebraic attacks?|meet-?in-?the-?middle|side-?channel (resistant|resistance|countermeasures?|attacks? on)|masking (schemes?|countermeasures?)|constant-?time|timing attacks? on|power analysis|DPA\b|CPA\b|electromagnetic analysis|fault attacks?|random oracle|standard model|provable security|security (proofs?|reductions?)|IND-?CCA|IND-?CPA|EUF-?CMA|UC (framework|security)|universal composability|cryptographic (protocols?|hardware|accelerators?)|TLS (1\.3)?|SSL\b|Signal protocol|double ratchet|end-?to-?end encrypt(ed|ion)|E2EE|secure messaging|password-?authenticated|PAKE|threshold (signatures?|cryptography|ECDSA|encryption)|multi-?signatures?|blind4586 signatures?|ring signatures?|group signatures?|verifiable (random functions?|delay functions?|computation|secret sharing|encryption)|VRFs?\b|VDFs?\b|PRFs?\b|pseudorandom (functions?|generators?|permutations?|number generators?)|TRNG|true random number|entropy source|key (escrow|rotation)|certificates?|PKI\b|certificate (transparency|authorities)|X\.509|HSM|white-?box cryptograph|lightweight cryptograph|ASCON|PRESENT cipher|SIMON|SPECK|cryptocurrency (wallets?|signatures?)|Schnorr|BLS signatures?|pairing-?based|bilinear pairings?|supersingular|format-?preserving|order-?preserving|deterministic encryption|tokeni[sz]ation of data)\b4587 weight: 1.04588 field: both4589 - pattern: (?i)\b(quantum key distribution|QKD\b|quantum cryptograph\w*|BB84|E91|quantum random number|quantum-?secure|device-?independent|quantum (money|signatures?|commitment|oblivious))\b4590 weight: 0.84591 field: both4592 - pattern: (?i)\b(finite fields?|Galois fields?|GF\(2\^|number[- ]theoretic|modular (arithmetic|exponentiation|multiplication|reduction)|Montgomery (multiplication|ladder|reduction)|residue number systems?|RNS\b|polynomial multiplication (for|in) (lattice|crypto|NTT)|NTT\b|number theoretic transform|Boolean functions? (nonlinearity|bent)|bent functions?|S-?box (design|construction)|coding theory|linear codes?|cyclic codes?|BCH|Reed-?Solomon|MDS codes?|secret sharing schemes?)\b4593 weight: 0.54594 field: both4595 - pattern: (?i)\b(chaotic|chaos-?based|hyper-?chaotic|DNA-?based) (image |signal |video |audio |data )?encryption\b|\bimage encryption\b|\bimage (scrambling|ciphering)\b4596 weight: 1.04597 field: both4598 - pattern: (?i)\b(encrypt\w*|decrypt\w*|keys?|signatures?|ciphers?|hashing|hashes|secrecy|confidentiality|integrity)\b4599 weight: 0.24600 field: both4601 exclusions: []4602 related:4603 - cybersecurity4604 - privacy_preserving_computation4605 - blockchain4606 - quantum_computing4607 - computational_complexity4608 - computer_architecture4609 parent_of: []4610 child_of: []4611 provenance: T10237/T10951/T11693/T11130 are the OpenAlex cryptography hosts; chaos-based image encryption (T11017) is a large applied sub-literature. IACR ePrint, CRYPTO/EUROCRYPT/ASIACRYPT/TCC/PKC, JoC, TCHES and DCC are pure venues.4612- id: blockchain4613 number: 284614 name: Blockchain Systems4615 area: security_privacy4616 definition: 'Distributed ledgers and the systems built on them: consensus for permissioned and permissionless chains, smart contracts and their security, scalability (sharding, layer-2, rollups), cryptocurrencies and DeFi mechanisms, blockchain applications and governance, measurement of blockchain ecosystems. Generic BFT consensus theory is shared with distributed_computing; primitives are applied_cryptography.'4617 openalex_topics:4618 - id: T102704619 weight: 1.04620 note: blockchain technology applications and security4621 - id: T139134622 weight: 0.84623 note: blockchain in education and learning4624 - id: T107424625 weight: 0.24626 note: peer-to-peer networks4627 - id: T107724628 weight: 0.24629 note: distributed systems and fault tolerance (BFT)4630 - id: T115984631 weight: 0.24632 note: secure e-voting4633 - id: T107644634 weight: 0.14635 note: privacy-preserving technologies4636 openalex_subfields: []4637 arxiv_categories:4638 - id: cs.CR4639 weight: 0.24640 - id: cs.DC4641 weight: 0.24642 - id: cs.GT4643 weight: 0.14644 dblp_streams:4645 - key: conf/blockchain4646 weight: 1.04647 - key: conf/icbc4648 weight: 1.04649 - key: conf/aft4650 weight: 1.04651 - key: conf/fc4652 weight: 0.74653 - key: conf/bpm4654 weight: 0.34655 - key: journals/jtaer4656 weight: 0.24657 - key: journals/fi4658 weight: 0.24659 - key: journals/ppna4660 weight: 0.24661 - key: conf/ccs4662 weight: 0.14663 - key: journals/tifs4664 weight: 0.14665 - key: journals/tdsc4666 weight: 0.14667 - key: journals/tnsm4668 weight: 0.14669 - key: journals/tsc4670 weight: 0.14671 - key: journals/tcss4672 weight: 0.14673 - key: journals/compsec4674 weight: 0.14675 - key: journals/itiis4676 weight: 0.14677 - key: journals/iotj4678 weight: 0.054679 - key: journals/tnse4680 weight: 0.14681 - key: conf/trustcom4682 weight: 0.24683 keywords:4684 - pattern: (?i)\bblock-?chains?\b|\bblockchain-?(based|enabled|powered)\b4685 weight: 1.04686 field: both4687 - pattern: (?i)\b(smart contracts?|distributed ledgers?|DLT\b|crypto-?currenc(y|ies)|Bitcoin|Ethereum|Solidity|EVM\b|Ethereum Virtual Machine|Hyperledger( Fabric)?|decentrali[sz]ed finance|DeFi\b|NFTs?\b|non-?fungible tokens?|proof[- ]of[- ](work|stake|authority|space|elapsed time|history|replication)|PoW\b|PoS\b|mining pools?|miners?|sharding (in|for|of) blockchain|layer[- ]2|rollups?|optimistic rollup|payment channels?|Lightning Network|cross-?chain|atomic swaps?|bridges? (between|across) (chains|blockchains)|decentrali[sz]ed (applications?|exchanges?|autonomous organi[sz]ations?|identity|storage networks?)|dApps?\b|DAOs?\b|Web3|tokenomics|token (economics|design)|MEV\b|maximal extractable value|front-?running|stablecoins?|central bank digital currenc|CBDCs?|zk-?rollups?|consensus (mechanisms?|protocols?|algorithms?) (for|in|of) (blockchain|permissioned|permissionless|ledgers?)|double-?spending|51% attacks?|selfish mining|transaction fees? (market|mechanism)|EIP-?1559|gas (fees?|optimi[sz]ation|costs?)|Merkle4688 (trees?|proofs?) for ledgers?|UTXO|wallets?|private keys? management for|oracles? (problem|for blockchain|networks?)|Chainlink|IPFS|Filecoin|Solana|Cardano|Polkadot|Cosmos SDK|Tendermint|Avalanche consensus|Algorand|Libra|Diem|Monero|Zcash|privacy coins?)\b4689 weight: 1.04690 field: both4691 - pattern: (?i)\b(Byzantine (fault[- ]toleran(t|ce)|agreement|consensus|generals)|BFT\b|PBFT|HotStuff|Nakamoto consensus|longest-?chain|GHOST protocol|DAG-?based (consensus|ledgers?)|hashgraph|IOTA|Tangle)\b4692 weight: 0.84693 field: both4694 - pattern: (?i)\b(decentrali[sz]ed|decentrali[sz]ation|immutable (ledgers?|records?)|tamper-?proof|tamper-?evident|trustless|permissioned|permissionless|ledgers?|tokens?|crypto(-?assets?)?)\b4695 weight: 0.44696 field: both4697 exclusions:4698 - (?is)^(?!.*(blockchain|ledger|smart contract|cryptocurrenc|Bitcoin|Ethereum|consensus|decentrali)).*\b(block chains? of|blocks? of (amino|residues|carbon|polymers?))\b4699 related:4700 - applied_cryptography4701 - distributed_computing4702 - cybersecurity4703 - privacy_preserving_computation4704 - computer_networks4705 parent_of: []4706 child_of: []4707 provenance: T10270 (168k works) is the OpenAlex blockchain topic and is sufficient alone; T13913 covers educational applications. BLOCKCHAIN/ICBC/AFT pure, FC 0.7; 'blockchain' is an unambiguous 1.0 keyword.4708- id: computer_architecture4709 number: 294710 name: Computer Architecture4711 area: hardware_emerging4712 definition: 'Organisation and design of processors, memory systems and digital hardware: microarchitecture, caches and memory hierarchies, interconnects and networks-on-chip, FPGAs and reconfigurable computing, embedded and real-time systems, hardware/software co-design, electronic design automation, VLSI and low-power design, processing-in-memory. Accelerators specialised for ML are ai_accelerators (a child); kernels are operating_systems.'4713 openalex_topics:4714 - id: T109044715 weight: 1.04716 note: 'embedded systems design: FPGA, HLS, SoC, co-design'4717 - id: T115224718 weight: 1.04719 note: VLSI and FPGA design techniques4720 - id: T129414721 weight: 1.04722 note: embedded systems and FPGA design4723 - id: T132924724 weight: 1.04725 note: embedded systems and FPGA applications4726 - id: T100544727 weight: 0.84728 note: parallel computing and optimization (multi-core, GPU, processor architecture)4729 - id: T103634730 weight: 0.84731 note: low-power high-performance VLSI design4732 - id: T115274733 weight: 0.84734 note: 3D IC and TSV technologies4735 - id: T110324736 weight: 0.64737 note: VLSI and analog circuit testing4738 - id: T108294739 weight: 0.64740 note: interconnection networks and systems4741 - id: T105024742 weight: 0.64743 note: advanced memory and neural computing (RRAM, in-memory computing)4744 - id: T131824745 weight: 0.64746 note: quantum-dot cellular automata4747 - id: T109334748 weight: 0.54749 note: real-time systems scheduling4750 - id: T121224751 weight: 0.54752 note: PUFs and hardware security4753 - id: T111814754 weight: 0.54755 note: advanced data storage technologies (SSD, NVM)4756 - id: T140984757 weight: 0.44758 note: energy efficiency in computing4759 - id: T105584760 weight: 0.44761 note: semiconductor devices and circuit design4762 - id: T141174763 weight: 0.44764 note: IC and semiconductor failure analysis4765 - id: T123264766 weight: 0.34767 note: network packet processing (NICs, hardware)4768 - id: T103234769 weight: 0.34770 note: analog and mixed-signal circuit design4771 - id: T126114772 weight: 0.34773 note: reservoir and optical computing hardware4774 - id: T101874775 weight: 0.14776 note: RF integrated circuit design4777 openalex_subfields:4778 - id: 17084779 weight: 0.64780 arxiv_categories:4781 - id: cs.AR4782 weight: 1.04783 - id: cs.ET4784 weight: 0.34785 - id: cs.PF4786 weight: 0.34787 - id: cs.DC4788 weight: 0.14789 - id: cs.OS4790 weight: 0.14791 dblp_streams:4792 - key: conf/isca4793 weight: 1.04794 - key: conf/micro4795 weight: 1.04796 - key: conf/hpca4797 weight: 1.04798 - key: conf/asplos4799 weight: 1.04800 - key: journals/taco4801 weight: 1.04802 - key: conf/hotchips4803 weight: 1.04804 - key: journals/tc4805 weight: 0.84806 - key: journals/tcad4807 weight: 0.84808 - key: journals/tvlsi4809 weight: 0.84810 - key: conf/dac4811 weight: 0.84812 - key: conf/date4813 weight: 0.84814 - key: conf/iccad4815 weight: 0.84816 - key: conf/iccad24817 weight: 0.84818 - key: conf/aspdac4819 weight: 0.84820 - key: journals/jsa4821 weight: 0.84822 - key: journals/mam4823 weight: 0.84824 - key: journals/tecs4825 weight: 0.84826 - key: conf/fccm4827 weight: 0.84828 - key: conf/fpga4829 weight: 0.84830 - key: conf/fpl4831 weight: 0.84832 - key: conf/fpt4833 weight: 0.84834 - key: journals/trets4835 weight: 0.84836 - key: conf/islped4837 weight: 0.84838 - key: conf/glvlsi4839 weight: 0.84840 - key: conf/rtss4841 weight: 0.74842 - key: conf/rtas4843 weight: 0.74844 - key: journals/integration4845 weight: 0.74846 - key: conf/isocc4847 weight: 0.64848 - key: journals/jssc4849 weight: 0.54850 - key: conf/isscc4851 weight: 0.54852 - key: journals/jcsc4853 weight: 0.54854 - key: journals/mj4855 weight: 0.44856 - key: conf/cicc4857 weight: 0.44858 - key: journals/tetc4859 weight: 0.44860 - key: conf/mlsys4861 weight: 0.44862 - key: conf/iscas4863 weight: 0.34864 - key: journals/tcasI4865 weight: 0.34866 - key: journals/tcasII4867 weight: 0.34868 - key: journals/tcas4869 weight: 0.34870 - key: conf/mwscas4871 weight: 0.34872 - key: conf/newcas4873 weight: 0.34874 - key: conf/irps4875 weight: 0.34876 - key: journals/ieiceee4877 weight: 0.34878 - key: conf/apccas4879 weight: 0.34880 - key: conf/icecsys4881 weight: 0.34882 - key: journals/tr4883 weight: 0.24884 - key: journals/tbcas4885 weight: 0.24886 - key: conf/sc4887 weight: 0.24888 - key: conf/ipps4889 weight: 0.24890 - key: journals/tpds4891 weight: 0.24892 - key: conf/ppopp4893 weight: 0.24894 - key: journals/ieicetd4895 weight: 0.24896 - key: journals/ieiceta4897 weight: 0.24898 - key: journals/tsusc4899 weight: 0.14900 - key: conf/dsn4901 weight: 0.24902 - key: journals/tetci4903 weight: 0.14904 - key: conf/biocas4905 weight: 0.24906 - key: journals/cee4907 weight: 0.24908 - key: journals/ijcta4909 weight: 0.24910 keywords:4911 - pattern: (?i)\b(computer|processor|micro-?|system|memory|cache|chip|hardware|GPU|CPU|accelerator|multi-?core|many-?core|heterogeneous|domain-?specific|RISC-?V|dataflow|von Neumann|non-?von-?Neumann|SIMD|vector|VLIW|superscalar|in-?order|out-?of-?order|chiplet|reconfigurable|FPGA|SoC|NoC|storage|SSD|DRAM|NVM|server|cluster|interconnect|network-?on-?chip|tiled|spatial|CGRA|TPU|NPU|neuromorphic|quantum computer|instruction[- ]set|ISA|microprocessor|embedded|real-?time|automotive|avionics|safety-?critical) architectures?\b|\bmicro-?architectur\w*\b|\barchitectural (support|simulation|exploration|design|vulnerabilit|side)\b4912 weight: 1.04913 field: both4914 - pattern: (?i)\b(branch predict(ion|ors?)|out-?of-?order (execution|cores?)|speculative execution|instruction[- ]level parallelism|ILP\b|SIMD\b|vector (processors?|extensions?|units?|ISAs?)|AVX-?\d*|SVE\b|pipelin(ing|ed) (processors?|datapaths?)|cache (hierarch(y|ies)|coherence|replacement|partitioning|misses?|side[- ]channels?|compression|prefetch)|prefetch(ing|ers?)|memory (hierarch(y|ies)|controllers?|bandwidth|subsystems?|consistency|wall|disaggregation|expansion|pooling|compression|encryption hardware|scheduling)|DRAM|HBM\d?\b|high-?bandwidth memory|NVM\b|non-?volatile memor(y|ies)|persistent memory|Optane|processing-?in-?memory|PIM\b|near-?(data|memory) (processing|computing)|in-?memory computing|compute-?in-?memory|CIM\b|network-?on-?chip|NoCs?\b|on-?chip (networks?|interconnects?|memory)|interconnects?|chiplets?|3D (ICs?|stacking|integration)|2\.5D|TSVs?\b|FPGAs?\b|field-?programmable gate|reconfigurable (computing|hardware|architectures?|logic)|CGRAs?\b|coarse-?grained reconfigurable|high-?level4915 synthesis|HLS\b|hardware/software co-?design|hardware-?software co-?design|HW/SW|RTL\b|register-?transfer level|Verilog|SystemVerilog|VHDL|SystemC|Chisel|Bluespec|logic synthesis|physical design|placement and routing|place[- ]and[- ]route|floorplan|timing (analysis|closure)|clock (tree|domain|gating)|design space exploration|DSE\b|system-?on-?chip|SoCs?\b|MPSoCs?|ASICs?\b|VLSI|CMOS (design|circuits?|scaling)|low-?power (design|architectures?|processors?)|DVFS|dynamic voltage|power gating|thermal (management|throttling)|dark silicon|RISC-?V|x86|ARM (Cortex|processors?|cores?|architecture)|AArch64|ISA (extensions?|design)|instruction set|custom instructions?|gem5|SimpleScalar|cycle-?accurate|performance (counters?|modeling|evaluation|analysis) of (processors?|architectures?|hardware|GPUs?)|roofline|memory-?bound|compute-?bound|TLB\b|virtual memory hardware|page walks?|hardware (prefetch|transactional|accelerat|support for|implementation|design|description|security|trojans?|verification|emulation|simulation)|GPU4916 (architecture|microarchitecture|warps?|SMs?|streaming multiprocessors?)|warp scheduling|tensor cores?|SRAM|eDRAM|scratchpad|systolic|dataflow (architectures?|accelerators?|execution)|spatial (architectures?|accelerators?)|wafer-?scale|photonic interconnects?|optical interconnects?|silicon photonics for computing|superconducting (logic|electronics|computing)|cryogenic (CMOS|computing)|stochastic computing|approximate (computing|arithmetic|adders?|multipliers?)|arithmetic (units?|circuits?)|floating-?point units?|FPUs?\b|multipliers?|adders?|ALUs?\b|bit-?serial|number (formats?|representations?) for hardware|posit arithmetic|bfloat16|logic (gates?|circuits?) design|fault-?tolerant (hardware|architectures?)|soft errors?|radiation-?hardened|ECC memory|chip (design|multiprocessors?|area|yield)|die (area|size)|tape-?out|foundry|EDA\b|electronic design automation|hardware (fuzzing|verification|testing)|design for test|DFT\b|scan chains?|built-?in self-?test|BIST\b|ATPG|hardware emulation|prototyping4917 on FPGA)\b4918 weight: 1.04919 field: both4920 - pattern: (?i)\b(embedded systems?|real-?time (systems?|scheduling|operating|embedded|tasks?|guarantees)|worst-?case execution time|WCET|schedulability|cyber-?physical|automotive (software|systems|ECUs?|electronics)|avionics|mixed-?criticality|time-?triggered|AUTOSAR|microcontrollers?|MCUs?\b|SoC (design|integration)|firmware|bare-?metal|energy harvesting (devices|systems|computing)|intermittent computing|wearable (electronics|hardware)|sensor nodes? (hardware|design))\b4921 weight: 0.84922 field: both4923 - pattern: (?i)\b(hardware|chips?|processors?|CPUs?|GPUs?|silicon|circuits?|transistors?|semiconductors?|cores?|caches?|memory|latency|throughput|energy efficiency|power consumption|area overhead)\b4924 weight: 0.34925 field: both4926 exclusions:4927 - (?is)^(?!.*(processor|chip|hardware|FPGA|VLSI|circuit|memory|cache|silicon|microarchitect|embedded|SoC|ASIC|CMOS|GPU|CPU|RISC|instruction)).*\b(software|enterprise|information|network|service-?oriented|microservices?|cloud|data|security|landscape|naval|urban|building|brand|organi[sz]ational|business|blockchain|neural network|transformer|model|protocol|Internet|web|application|system|solution|reference|deep learning|learning|algorithm|choice|financial|market) architectures?\b4928 related:4929 - ai_accelerators4930 - operating_systems4931 - compilers4932 - sustainable_computing4933 - quantum_computing4934 - distributed_computing4935 - cybersecurity4936 parent_of:4937 - ai_accelerators4938 child_of: []4939 provenance: OpenAlex 1708 (Hardware and Architecture) has 8 topics, all reviewed; architecture work also lives in Engineering 2207/2208 (FPGA, VLSI, 3D IC) and T10054. ISCA/MICRO/HPCA/ASPLOS/TACO/Hot Chips pure; EDA venues 0.8; circuits venues 0.3-0.5. Non-hardware senses of 'architecture' are vetoed when no hardware term co-occurs.4940- id: ai_accelerators4941 number: 304942 name: Accelerators and AI Hardware4943 area: hardware_emerging4944 definition: 'Hardware and hardware-aware software for efficient machine-learning computation: GPU/TPU/NPU design and programming, ASIC and FPGA DNN accelerators, neuromorphic and spiking hardware, in-memory and analog/photonic computing for AI, quantisation and sparsity exploited by hardware, efficient LLM inference and serving systems, ML compilers'' hardware mapping, benchmarks such as MLPerf. A child of computer_architecture.'4945 openalex_topics:4946 - id: T105024947 weight: 1.04948 note: 'advanced memory and neural computing: memristors, neuromorphic hardware, in-memory computing'4949 - id: T126114950 weight: 0.84951 note: 'neural networks and reservoir computing: optical/photonic neural networks'4952 - id: T109044953 weight: 0.54954 note: 'embedded systems design: hardware accelerators, HLS'4955 - id: T100544956 weight: 0.34957 note: 'parallel computing: GPU computing, CUDA'4958 - id: T100364959 weight: 0.34960 note: 'advanced neural network applications: model compression, lightweight networks'4961 - id: T115224962 weight: 0.34963 note: VLSI and FPGA design4964 - id: T129414965 weight: 0.34966 note: embedded systems and FPGA design4967 - id: T132924968 weight: 0.34969 note: embedded systems and FPGA applications4970 - id: T103634971 weight: 0.34972 note: low-power VLSI design4973 - id: T131824974 weight: 0.24975 note: quantum-dot cellular automata4976 - id: T103204977 weight: 0.24978 note: neural networks (hardware implementation)4979 openalex_subfields: []4980 arxiv_categories:4981 - id: cs.AR4982 weight: 0.64983 - id: cs.ET4984 weight: 0.54985 - id: cs.NE4986 weight: 0.24987 - id: cs.LG4988 weight: 0.14989 - id: cs.DC4990 weight: 0.14991 dblp_streams:4992 - key: conf/mlsys4993 weight: 1.04994 - key: conf/hotchips4995 weight: 0.64996 - key: conf/isca4997 weight: 0.54998 - key: conf/micro4999 weight: 0.55000 - key: conf/hpca5001 weight: 0.55002 - key: conf/fccm5003 weight: 0.55004 - key: conf/fpga5005 weight: 0.55006 - key: conf/asplos5007 weight: 0.45008 - key: conf/dac5009 weight: 0.45010 - key: conf/iccad5011 weight: 0.45012 - key: conf/iccad25013 weight: 0.45014 - key: conf/fpl5015 weight: 0.45016 - key: journals/taco5017 weight: 0.45018 - key: conf/isscc5019 weight: 0.45020 - key: conf/islped5021 weight: 0.45022 - key: journals/trets5023 weight: 0.45024 - key: conf/date5025 weight: 0.35026 - key: journals/tcad5027 weight: 0.35028 - key: journals/tvlsi5029 weight: 0.35030 - key: journals/tc5031 weight: 0.35032 - key: journals/tecs5033 weight: 0.35034 - key: journals/jsa5035 weight: 0.35036 - key: journals/jssc5037 weight: 0.35038 - key: conf/aspdac5039 weight: 0.35040 - key: journals/mam5041 weight: 0.35042 - key: journals/tetc5043 weight: 0.35044 - key: conf/glvlsi5045 weight: 0.35046 - key: conf/biocas5047 weight: 0.35048 - key: conf/sc5049 weight: 0.35050 - key: journals/tetci5051 weight: 0.25052 - key: journals/tcasI5053 weight: 0.25054 - key: journals/tbcas5055 weight: 0.25056 - key: conf/iscas5057 weight: 0.25058 - key: conf/ipps5059 weight: 0.25060 - key: conf/ppopp5061 weight: 0.25062 - key: journals/tpds5063 weight: 0.25064 - key: journals/aisy5065 weight: 0.15066 - key: journals/natmi5067 weight: 0.15068 - key: journals/tnn5069 weight: 0.15070 - key: journals/jpdc5071 weight: 0.15072 - key: journals/ieiceee5073 weight: 0.15074 - key: conf/isocc5075 weight: 0.35076 - key: journals/integration5077 weight: 0.25078 - key: journals/ncs5079 weight: 0.15080 keywords:5081 - pattern: (?i)\b(AI|DNN|CNN|GNN|RNN|LSTM|neural[- ]network|deep[- ]learning|machine[- ]learning|ML|DL|inference|training|transformer|LLM|attention|tensor|matrix|GEMM|sparse|SNN|spiking|neuromorphic|photonic|optical|analog|in-?memory|PIM|RRAM|memristor|FPGA|ASIC|hardware|domain-?specific|systolic|dataflow|edge|energy-?efficient|low-?power|reconfigurable|custom|dedicated|specialized|GPU|convolution|graph processing|recommendation|embedding|vision|NLP|diffusion|generative) accelerat(or|ors|ion)\b|\baccelerator (design|architectures?|chips?)\b5082 weight: 1.05083 field: both5084 - pattern: (?i)\b(TPUs?\b|tensor processing units?|NPUs?\b|neural processing units?|IPUs?\b|systolic arrays?|tensor cores?|GPU (kernels?|programming|utili[sz]ation|clusters? for (training|inference)|scheduling for (DNN|ML|inference)|memory for (training|LLM))|CUDA (kernels?|cores?|programming|implementation|graphs?)|H100|H200|B200|A100|V100|GH200|GB200|NVIDIA (GPUs?|Hopper|Ampere|Blackwell|Volta|Jetson)|AMD (MI\d+|Instinct|ROCm)|Cerebras|Groq|Graphcore|Gaudi|Trainium|Inferentia|Apple Neural Engine|Jetson (Nano|Orin|Xavier)|Coral TPU|Edge TPU|Movidius|Loihi|TrueNorth|SpiNNaker|BrainScaleS|Tianjic|Eyeriss|DianNao|Cambricon|Hailo|Mythic|Lightmatter|Tenstorrent|SambaNova|Ascend 910|Kunlun|Hanguang)\b5085 weight: 1.05086 field: both5087 - pattern: (?i)\b(neuromorphic (computing|hardware|chips?|processors?|systems?|engineering|devices?|architectures?)|spiking neural networks? (hardware|accelerat|on-?chip|processors?|implementation)|SNN (hardware|accelerat|processors?)|memristive|memristors?|RRAM|ReRAM|PCM-?based (computing|synapses?)|FeFET|MRAM-?based computing|crossbar (arrays?|architectures?)|compute-?in-?memory|in-?memory computing|processing-?in-?memory|analog (computing|in-?memory|neural network hardware|AI chips?)|mixed-?signal (neural|AI)|photonic (computing|neural networks?|accelerat|processors?|tensor)|optical (neural networks?|computing|accelerat)|diffractive (neural|optical)|reservoir computing hardware|stochastic computing for neural|approximate computing for (neural|DNN)|quanti[sz]ation-?aware|mixed-?precision (training|inference|arithmetic)|FP8|FP4|INT8|INT4|W4A16|W8A8|4-?bit (quanti[sz]ation|weights)|bit-?serial|binary neural networks?|BNNs?\b|XNOR-?net|ternary (weights|networks)|sparsity (exploitation|acceleration|support)|structured5088 sparsity|2:4 sparsity|pruning for hardware|hardware-?aware (NAS|neural architecture|pruning|quanti[sz]ation|training|design)|hardware-?efficient|model compression for (deployment|edge|hardware)|efficient (inference|transformers?|attention|LLM (inference|serving|deployment))|LLM (serving|inference) (systems?|engines?|optimi[sz]ation|efficiency|acceleration|on (edge|mobile|CPU|GPU))|inference (serving|engines?|latency|throughput|acceleration|optimi[sz]ation)|serving systems?|KV[- ]cache (compression|quanti[sz]ation|management|eviction)|FlashAttention|PagedAttention|vLLM|TensorRT-?LLM|SGLang|TGI\b|llama\.cpp|speculative decoding|continuous batching|weight-?only quanti[sz]ation|GPTQ|AWQ|SmoothQuant|LLM\.int8|QLoRA|kernel fusion|operator fusion|roofline|MLPerf|DNN (inference|training) (on|for) (FPGA|edge|mobile|GPU|ASIC)|FPGA-?based (CNN|DNN|neural|accelerat|inference)|ASIC (for|design for) (neural|DNN|CNN|AI)|DNN (accelerat|hardware|dataflow|mapping)|accelerator (mapping|scheduling|compilers?)|dataflow5089 (mapping|optimi[sz]ation) for (DNN|CNN)|loop (tiling|unrolling) for (CNN|DNN|accelerat)|weight stationary|output stationary|on-?chip (buffers?|memory) for (DNN|CNN)|AI (chips?|hardware|silicon|processors?)|deep learning (hardware|chips?|processors?|accelerat)|machine learning (hardware|chips?|accelerat)|training (hardware|chips?|accelerat)|wafer-?scale (engine|AI)|AI (super)?computers?|GPU (clusters?|pods?) for (training|LLM)|multi-?GPU (training|inference)|tensor (parallel|slicing) on (GPUs?|accelerators?)|NVLink|NVSwitch|interconnects? for (AI|GPU|accelerators?)|HBM for (AI|accelerators?)|memory wall (in|for) (AI|DNN|LLM)|energy (per|efficiency of) inference|TOPS/W|TOPS\b|GOPS/W|pJ/MAC|MAC (units?|arrays?|utili[sz]ation)|multiply-?accumulate)\b5090 weight: 1.05091 field: both5092 - pattern: (?i)\b(energy efficiency|throughput|latency|FLOPS|utili[sz]ation|speedup) (of|for|on|over) (the )?(accelerators?|hardware|FPGAs?|GPUs?|chips?|inference|TPUs?|NPUs?|edge devices?)\b5093 weight: 0.85094 field: both5095 - pattern: (?i)\b(hardware|FPGA|ASIC|GPU|chip|silicon|accelerat\w+|on-?chip|CMOS|energy-?efficient|low-?power|edge devices?)\b5096 weight: 0.35097 field: both5098 exclusions:5099 - (?is)^(?!.*(neural|DNN|CNN|deep learning|machine learning|AI\b|inference|LLM|transformer|training|GPU|FPGA|ASIC|hardware|chip|neuromorphic|memristor|in-?memory|photonic)).*\b(particle accelerators?|linear accelerators?|LINAC|accelerator (physics|beam|cavity|magnets?|pedal)|accelerated (aging|weathering|corrosion|degradation|testing|approval|rehabilitation|healing)|hardware (store|retail))\b5100 related:5101 - computer_architecture5102 - deep_learning_architectures5103 - compilers5104 - edge_computing5105 - sustainable_computing5106 - distributed_computing5107 - llm5108 parent_of: []5109 child_of:5110 - computer_architecture5111 provenance: No OpenAlex topic isolates ML accelerators; T10502 (memristors/neuromorphic/in-memory, Engineering 2208) and T12611 (photonic NNs) are the closest; GPU/FPGA accelerator work sits in T10904/T10054/T11522. MLSys is the only near-dedicated stream; architecture venues at 0.4-0.5. Keyword patterns on 'X accelerator', chip names and efficient-inference systems carry the category; particle-accelerator senses are vetoed.5112- id: operating_systems5113 number: 315114 name: Operating Systems5115 area: hardware_emerging5116 definition: 'System software that manages hardware and provides execution abstractions: kernels and drivers, scheduling, memory management, file and storage systems, virtualisation and containers, OS security and isolation, I/O and networking stacks, real-time and embedded OS, systems support for new hardware (persistent memory, CXL, SmartNICs). Distributed coordination is distributed_computing; hardware design is computer_architecture.'5117 openalex_topics:5118 - id: T111815119 weight: 0.85120 note: 'advanced data storage technologies: file systems, SSDs, I/O'5121 - id: T109335122 weight: 0.85123 note: real-time systems scheduling5124 - id: T114245125 weight: 0.65126 note: 'security and verification in computing: OS security, hypervisors, TEEs'5127 - id: T123265128 weight: 0.55129 note: network packet processing (kernel bypass)5130 - id: T140675131 weight: 0.45132 note: virtual desktops, remote desktop5133 - id: T101015134 weight: 0.35135 note: 'cloud computing: virtualization, VMs'5136 - id: T121275137 weight: 0.35138 note: system performance and reliability, logs5139 - id: T116755140 weight: 0.35141 note: open source software (Linux)5142 - id: T109045143 weight: 0.25144 note: embedded systems design5145 - id: T107725146 weight: 0.25147 note: distributed systems and fault tolerance5148 - id: T127995149 weight: 0.25150 note: mobile applications (Android)5151 - id: T100545152 weight: 0.25153 note: parallel computing (multi-core runtimes)5154 openalex_subfields: []5155 arxiv_categories:5156 - id: cs.OS5157 weight: 1.05158 - id: cs.DC5159 weight: 0.25160 - id: cs.PF5161 weight: 0.25162 - id: cs.AR5163 weight: 0.15164 - id: cs.CR5165 weight: 0.055166 dblp_streams:5167 - key: conf/osdi5168 weight: 1.05169 - key: conf/sosp5170 weight: 1.05171 - key: conf/eurosys5172 weight: 1.05173 - key: conf/usenix5174 weight: 1.05175 - key: conf/fast5176 weight: 1.05177 - key: journals/tos5178 weight: 1.05179 - key: conf/asplos5180 weight: 0.65181 - key: conf/rtss5182 weight: 0.65183 - key: conf/rtas5184 weight: 0.65185 - key: conf/mobisys5186 weight: 0.45187 - key: conf/middleware5188 weight: 0.35189 - key: journals/tecs5190 weight: 0.35191 - key: journals/jsa5192 weight: 0.35193 - key: conf/nsdi5194 weight: 0.35195 - key: conf/dsn5196 weight: 0.35197 - key: journals/spe5198 weight: 0.35199 - key: journals/mam5200 weight: 0.35201 - key: conf/socc5202 weight: 0.35203 - key: conf/cloud5204 weight: 0.35205 - key: conf/hpdc5206 weight: 0.25207 - key: journals/tc5208 weight: 0.25209 - key: journals/tpds5210 weight: 0.25211 - key: conf/mlsys5212 weight: 0.25213 - key: journals/computing5214 weight: 0.25215 - key: conf/icdcs5216 weight: 0.15217 - key: journals/tcc5218 weight: 0.15219 - key: conf/ipps5220 weight: 0.15221 - key: conf/isca5222 weight: 0.15223 - key: conf/micro5224 weight: 0.15225 - key: conf/hpca5226 weight: 0.15227 - key: journals/taco5228 weight: 0.15229 - key: conf/sec5230 weight: 0.15231 - key: conf/percom5232 weight: 0.15233 - key: journals/jss5234 weight: 0.15235 - key: conf/uss5236 weight: 0.15237 - key: conf/sp5238 weight: 0.055239 - key: conf/ccs5240 weight: 0.055241 - key: journals/tdsc5242 weight: 0.15243 - key: conf/sigcomm5244 weight: 0.15245 keywords:5246 - pattern: (?i)\boperating systems?\b|\bOS (kernels?|design|support|level|services|scheduler|virtuali[sz]ation|security|abstractions?|research|noise|jitter|interfaces?)\b|\bOSes\b|\bsystems software\b5247 weight: 1.05248 field: both5249 - pattern: (?i)\b(Linux (kernel|scheduler|drivers?|namespaces|cgroups|systems?)|kernel (modules?|bypass|extensions?|development|schedulers?|space|drivers?|bugs?|fuzzing|vulnerabilit|hardening|isolation|concurrency|verification|crashes|panics|patches|APIs?|data structures)|eBPF|BPF programs?|device drivers?|system calls?|syscalls?|user ?space|microkernels?|unikernels?|monolithic kernels?|exokernel|library OS|seL4|Fuchsia|Zephyr|FreeRTOS|RTOS\b|real-?time operating|Android (framework|runtime|kernel|OS|binder)|Windows (kernel|drivers?)|macOS kernel|XNU|file systems?|filesystems?|FS\b|ext4|Btrfs|ZFS|F2FS|XFS|journaling|log-?structured|copy-?on-?write|page cache|buffer cache|virtual memory|page (tables?|faults?|replacement|migration)|TLB\b|memory (management|allocation|allocators?|mapping|paging|swapping|deduplication|tiering|disaggregation|compaction|reclamation|safety in kernels?|bandwidth management)|huge pages|transparent huge|NUMA (awareness|placement|balancing)|process (scheduling|isolation|management|migration)|thread5250 scheduling|CPU scheduling|schedulers? (for|in) (Linux|kernels?|multicore|data ?cent|heterogeneous)|CFS\b|EEVDF|interrupt (handling|latency|coalescing)|I/O (stacks?|scheduling|virtuali[sz]ation|paths?|performance|schedulers?)|io_uring|NVMe (SSDs?|drivers?|over fabrics)|SSDs?\b|flash (storage|translation layer|memory management)|FTL\b|zoned (namespaces|storage)|ZNS|persistent memory (programming|file systems?|allocators?)|PMEM|CXL\b|compute express link|memory expanders?|far memory|virtual machine monitors?|VMMs?\b|hypervisors?|Xen|KVM|QEMU|VMware|Hyper-?V|Firecracker|gVisor|microVMs?|containers? (isolation|runtimes?|security|images?|startup)|namespaces and cgroups|cgroups|Docker (runtime|engine|containers?)|OCI (runtime|images?)|containerd|runc|sandbox(ing|es)|WebAssembly (runtime|system interface|WASI)|boot(ing|loaders?|strap)|firmware (updates?|interfaces?)|BIOS|UEFI|trusted (boot|computing base)|TCB\b|crash (consistency|recovery|dumps?)|fault (isolation|containment) in (OS|kernel)|Rust5251 (for Linux|in the kernel|OS)|seccomp|capabilit(y|ies)-?based (OS|security|systems)|CHERI|address space (isolation|layout)|ASLR|kernel (integrity|protection|exploits?)|privilege (levels?|rings?)|ring 0|supervisor mode|system (daemons?|services) management|init systems?|systemd|power management (in|for) (OS|Linux|mobile)|energy-?aware scheduling|DVFS governors?|thermal throttling in|mobile OS|smartphone (OS|kernel|power)|wearable OS|IoT (OS|operating)|TinyOS|Contiki|RIOT OS|embedded (Linux|OS|runtimes?)|hardware (abstraction|virtuali[sz]ation)|paravirtuali[sz]|nested virtuali[sz]ation|live (migration|patching|update)|hot-?patching|checkpoint/restore|CRIU|fork\(\)|exec\(\)|POSIX|system (configuration|administration)|package managers?|Nix(OS)?|reproducible builds)\b5252 weight: 1.05253 field: both5254 - pattern: (?i)\b(storage systems?|distributed file systems?|key-?value stores?|object storage|block storage|storage (stacks?|engines?|disaggregation|tiering|class memory)|RDMA|DPDK|SR-?IOV|SmartNICs?|DPUs?\b|data processing units?|IPUs?\b|kernel-?bypass|user-?space networking|TCP (stack|offload)|network stacks?|serverless (runtimes?|platforms?|cold starts?)|cold starts?|function (isolation|sandboxes?)|lightweight (virtuali[sz]ation|isolation|VMs?)|confidential VMs?|enclaves? (OS|runtime)|TEE (OS|runtime)|GPU (drivers?|virtuali[sz]ation|scheduling in OS|memory management)|accelerator (OS|virtuali[sz]ation|management)|resource (isolation|contention|management in (OS|kernels?))|tail latency|performance isolation|noisy neighbou?rs?|QoS in (OS|kernels?)|workload (consolidation|co-?location|interference))\b5255 weight: 0.65256 field: both5257 - pattern: (?i)\b(kernels?|runtimes?|schedulers?|scheduling|virtuali[sz]ation|concurrency|threads?|locks?|synchroni[sz]ation|I/O|storage|drivers?|isolation|hypervisor|containers?|processes|memory)\b5258 weight: 0.35259 field: both5260 exclusions:5261 - (?is)^(?!.*(operating system|kernel|Linux|file system|virtual|hypervisor|scheduler|driver|memory management|syscall|I/O|storage|container|runtime|boot|firmware)).*\b(kernel (methods?|machines?|ridge|density|trick|functions?|SVM|PCA|regression|smoothing|estimation|mean embedding|Hilbert|convolution kernels?|size|regularization|alignment)|convolution(al)? kernels?|GPU kernels? for (matrix|stencil)|wheat kernels?|corn kernels?|palm kernels?|heat kernel|Gaussian kernel)\b5262 related:5263 - computer_architecture5264 - distributed_computing5265 - cloud_computing5266 - cybersecurity5267 - programming_languages5268 - edge_computing5269 parent_of: []5270 child_of: []5271 provenance: 'No OpenAlex topic is OS-centred: storage (T11181), real-time scheduling (T10933), OS security/hypervisors (T11424) and virtualization (T10101) are the hosts, so each is partial. OSDI/SOSP/EuroSys/USENIX ATC/FAST/TOS are pure streams (cs.OS alone suffices on arXiv). Kernel-method senses of ''kernel'' are vetoed when no OS term co-occurs.'5272- id: quantum_computing5273 number: 325274 name: Quantum Computing5275 area: hardware_emerging5276 definition: 'Computation and information processing exploiting quantum mechanics: quantum algorithms and complexity, quantum error correction and fault tolerance, qubit hardware platforms and control, quantum software, compilers and simulators, variational and NISQ algorithms, quantum machine learning, quantum communication and key distribution, quantum networking. Quantum physics without a computational or information-processing framing is out of scope; post-quantum cryptography is applied_cryptography.'5277 openalex_topics:5278 - id: T100205279 weight: 1.05280 note: quantum information and cryptography5281 - id: T106825282 weight: 1.05283 note: quantum computing algorithms and architecture5284 - id: T106225285 weight: 0.35286 note: quantum mechanics and applications5287 - id: T118035288 weight: 0.35289 note: superconducting and THz device technology5290 - id: T118045291 weight: 0.35292 note: quantum many-body systems5293 - id: T114145294 weight: 0.35295 note: quantum optics and atomic interactions5296 - id: T131825297 weight: 0.35298 note: quantum-dot cellular automata5299 - id: T103825300 weight: 0.25301 note: quantum and electron transport phenomena5302 - id: T104255303 weight: 0.25304 note: cold atom physics5305 - id: T106575306 weight: 0.25307 note: topological materials5308 - id: T126115309 weight: 0.25310 note: quantum reservoir computing5311 - id: T112615312 weight: 0.25313 note: quantum chaos and dynamical systems5314 - id: T100225315 weight: 0.25316 note: semiconductor quantum structures and devices5317 - id: T111305318 weight: 0.15319 note: coding theory (quantum codes)5320 - id: T120025321 weight: 0.15322 note: computability (quantum complexity)5323 - id: T112625324 weight: 0.15325 note: quantum mechanics and non-Hermitian physics5326 openalex_subfields: []5327 arxiv_categories:5328 - id: quant-ph5329 weight: 1.05330 - id: cs.ET5331 weight: 0.35332 - id: cs.CC5333 weight: 0.15334 - id: cs.IT5335 weight: 0.15336 - id: math.IT5337 weight: 0.15338 - id: physics.comp-ph5339 weight: 0.15340 dblp_streams:5341 - key: journals/quantum5342 weight: 1.05343 - key: journals/qip5344 weight: 1.05345 - key: conf/qce5346 weight: 1.05347 - key: conf/tqc5348 weight: 1.05349 - key: journals/entropy5350 weight: 0.25351 - key: journals/tit5352 weight: 0.15353 - key: conf/isit5354 weight: 0.15355 - key: journals/iacr5356 weight: 0.15357 - key: journals/tcad5358 weight: 0.15359 - key: conf/dac5360 weight: 0.15361 - key: conf/date5362 weight: 0.15363 - key: journals/tc5364 weight: 0.15365 - key: conf/isca5366 weight: 0.15367 - key: conf/micro5368 weight: 0.15369 - key: conf/hpca5370 weight: 0.15371 - key: conf/asplos5372 weight: 0.15373 - key: journals/jcphy5374 weight: 0.15375 - key: journals/cphysics5376 weight: 0.15377 - key: journals/symmetry5378 weight: 0.15379 - key: conf/stoc5380 weight: 0.15381 - key: conf/focs5382 weight: 0.15383 - key: journals/natmi5384 weight: 0.055385 - key: journals/ncs5386 weight: 0.15387 - key: journals/mlst5388 weight: 0.15389 - key: conf/sc5390 weight: 0.15391 - key: journals/tpds5392 weight: 0.055393 - key: conf/ipps5394 weight: 0.055395 keywords:5396 - pattern: (?i)\bquantum (comput(ing|ers?|ation|ational)|algorithms?|circuits?|gates?|processors?|hardware|supremacy|advantage|error[- ]correct(ion|ing)|error mitigation|codes?|annealing|annealers?|machine learning|neural networks?|kernels?|simulation|simulators?|emulat\w+|information|key distribution|cryptograph\w*|communication|internet|networks?|networking|teleportation|entanglement distribution|repeaters?|memor(y|ies)|sensing|metrology|software|programming|compil(ers?|ation|ing)|control|optimi[sz]ation|chemistry (simulation|algorithms?|on quantum)|walks?|Fourier|phase estimation|approximate optimi[sz]ation|variational|bits?|speed-?ups?|volume|random (circuits?|sampling)|dots? (for|as) qubits?|devices? for computing|technolog(y|ies)|instruction sets?|transpil\w+|benchmark\w*|cloud|service|workflows?|HPC|data (centers?|loading)|RAM|QRAM|generative|reinforcement|transformers?|Boltzmann|support vector|convolutional|federated|language models?|LLMs?|finance|chemistry|many-?body simulation5397 on|advantage experiments?|readout|crosstalk|calibration|characteri[sz]ation|tomography|process tomography|state preparation|amplitude (amplification|estimation|encoding)|linear (systems?|algebra) algorithms?|singular value|eigensolvers?|dynamics simulation|Monte Carlo (acceleration|algorithms)|game theory|secret sharing|money|signatures?|commitment|oblivious|zero-?knowledge|interactive proofs?|complexity|Turing|cellular automata|dot cellular automata|LDPC|surface codes?|resource (estimation|theory for computing)|logic synthesis|layout synthesis|mapping|routing (for|of) qubits?|qubit (mapping|routing|allocation))\b5398 weight: 1.05399 field: both5400 - pattern: (?i)\b(qubits?|qudits?|QAOA|VQE\b|variational quantum|VQAs?\b|NISQ|surface codes?|colou?r codes?|stabili[sz]er codes?|toric codes?|CSS codes?|qLDPC|quantum LDPC|magic state|T-?gates?|T-?count|Clifford\+T|fault-?tolerant quantum|logical qubits?|physical qubits?|transmons?|superconducting qubits?|flux(onium)? qubits?|trapped[- ]ions?|ion[- ]traps?|neutral atoms?|Rydberg (atoms?|arrays?|blockade)|photonic (qubits?|quantum)|boson sampling|Gaussian boson|spin qubits?|silicon qubits?|quantum dots? qubits?|NV cent(er|re)s? qubits?|Majorana (zero modes|qubits?|fermions for)|topological (qubits?|quantum comput)|anyons? (for|in) (computing|braiding)|braiding|Shor'?s algorithm|Grover'?s? (algorithm|search)|HHL\b|Harrow-?Hassidim|quantum Fourier transform|QFT\b|Hamiltonian simulation|Trotteri[sz]ation|Trotter (steps?|error)|qubitization|block encoding|LCU\b|linear combination of unitaries|QSVT|quantum signal processing|amplitude amplification|QKD\b|BB84|E91|B92|decoy state|measurement-?device-?independent|entanglement5401 (swapping|purification|distillation|witnesses?|entropy)|Bell (states?|inequalit(y|ies)|tests?|pairs?)|GHZ states?|cluster states?|measurement-?based quantum|one-?way quantum|decoherence|dephasing|T1\b|T2\b|coherence times?|gate fidelit(y|ies)|two-?qubit gates?|CNOT|CZ gates?|iSWAP|Toffoli|randomized benchmarking|cross-?entropy benchmarking|XEB\b|gate set tomography|quantum (noise|channels?|Shannon|capacity|discord|coherence resource|error channels?)|depolarizing (noise|channel)|Pauli (noise|twirling|frames?)|post-?quantum|quantum-?safe|Qiskit|Cirq|PennyLane|QuTiP|OpenQASM|QASM|Q#\b|Quipper|Silq|Braket|tket|Quantinuum|IonQ|Rigetti|D-?Wave|IBM Quantum|Google Sycamore|Sycamore|Zuchongzhi|Jiuzhang|Quantum Volume|CLOPS|cross-?resonance|ZZ (coupling|crosstalk)|tunable couplers?|Josephson (junctions?|parametric)|dilution refrigerator (for|and) (qubits?|quantum)|cryo-?CMOS|cryogenic control|quantum-?classical (hybrid|interface|co-?design)|hybrid quantum|tensor networks? (simulation|contraction|methods?)5402 (of|for) quantum (circuits?|computing)|matrix product states? (for|and) quantum (circuits?|computing)|Schrödinger-?Feynman|stabili[sz]er simulation|Clifford (circuits?|gates?|group|simulation)|Ising machines?|coherent Ising|quantum-?inspired|annealing (schedules?|hardware)|adiabatic quantum|QUBO\b|quadratic unconstrained binary)\b5403 weight: 1.05404 field: both5405 - pattern: (?i)\bquantum\b|\bentangle(d|ment)\b|\bsuperposition\b|\bHamiltonian\b|\bunitar(y|ies)\b5406 weight: 0.45407 field: both5408 exclusions:5409 - (?is)^(?!.*(qubits?|quantum (comput\w*|algorithms?|error|circuits?|gates?|information|annealing|key distribution|cryptograph|machine learning|simulat\w+|advantage|supremacy|communication|internet|networks?|sensing|metrology|software|programming|walks?|processors?|hardware|codes?|teleportation|repeaters?|memory)|QKD|NISQ|QAOA|VQE|post-?quantum)).*\b(quantum (dots?|chemistry|mechanics|mechanical|field theory|gravity|Hall|wells?|cascade lasers?|efficiency|yield|chemical|Monte Carlo|phase transitions?|criticality|spin liquids?|materials?|optics|electrodynamics|fluids?|anomalous|oscillations?|confinement|transport|many-?body (physics|localization)|biology|cosmology)|quantum-?confined|quantum (defects|emitters) in)\b5410 related:5411 - applied_cryptography5412 - computational_complexity5413 - computer_architecture5414 - scientific_computing5415 - compilers5416 parent_of: []5417 child_of: []5418 provenance: T10020 and T10682 (both CS 1702) are the OpenAlex hosts; Physics 31 topics on qubit platforms (superconducting, cold atoms, many-body, quantum optics) mapped at 0.2-0.3 because only a fraction of their works concern computing. Quantum, QIP, QCE, TQC pure streams; quant-ph alone suffices. Quantum-physics senses without a computing term are vetoed.5419- id: scientific_computing5420 number: 335421 name: Scientific Computing5422 area: computational_science5423 definition: 'Numerical and computational methods and software for mathematical models of science and engineering: numerical linear algebra, discretisation of differential equations, solvers and preconditioners, simulation frameworks, uncertainty quantification, reduced-order and surrogate models, scientific machine learning (PINNs, neural operators), high-performance scientific software and performance portability, mathematical software, computational physics/chemistry/engineering tooling. Domain biology is computational_biology; parallel systems software is distributed_computing.'5424 openalex_topics:5425 - id: T116975426 weight: 1.05427 note: numerical methods and algorithms5428 - id: T103395429 weight: 1.05430 note: advanced numerical methods in computational mathematics5431 - id: T112455432 weight: 1.05433 note: advanced numerical analysis techniques5434 - id: T114165435 weight: 1.05436 note: numerical methods for differential equations5437 - id: T127275438 weight: 0.95439 note: differential equations and numerical methods5440 - id: T107925441 weight: 0.85442 note: matrix theory and algorithms5443 - id: T105145444 weight: 0.85445 note: numerical methods in engineering5446 - id: T134875447 weight: 0.85448 note: statistical and numerical algorithms5449 - id: T136505450 weight: 0.85451 note: computational physics and Python applications5452 - id: T112055453 weight: 0.75454 note: numerical methods in inverse problems5455 - id: T132865456 weight: 0.75457 note: modeling and simulation systems5458 - id: T112065459 weight: 0.75460 note: model reduction and neural networks5461 - id: T124045462 weight: 0.65463 note: mathematical approximation and integration5464 - id: T119865465 weight: 0.65466 note: scientific computing and data management (workflows)5467 - id: T117515468 weight: 0.65469 note: lattice Boltzmann simulation5470 - id: T111955471 weight: 0.65472 note: simulation techniques and applications5473 - id: T101735474 weight: 0.55475 note: computational fluid dynamics5476 - id: T112635477 weight: 0.55478 note: electromagnetic simulation and numerical methods5479 - id: T138065480 weight: 0.55481 note: mathematical and computational methods5482 - id: T123035483 weight: 0.55484 note: tensor decomposition and applications5485 - id: T105455486 weight: 0.45487 note: optimization and variational analysis5488 - id: T116945489 weight: 0.45490 note: fluid dynamics simulations5491 - id: T105915492 weight: 0.45493 note: theoretical and computational physics5494 - id: T100545495 weight: 0.45496 note: parallel computing (HPC applications)5497 - id: T120565498 weight: 0.45499 note: Markov chains and Monte Carlo methods5500 - id: T131165501 weight: 0.35502 note: heat transfer and numerical methods5503 - id: T142705504 weight: 0.35505 note: simulation and modeling applications5506 - id: T121005507 weight: 0.35508 note: advanced mathematical modeling in engineering5509 - id: T109635510 weight: 0.35511 note: advanced optimization algorithms5512 - id: T119485513 weight: 0.35514 note: machine learning in materials science5515 - id: T100295516 weight: 0.25517 note: climate variability and models5518 - id: T104665519 weight: 0.25520 note: meteorological phenomena and simulations5521 - id: T105415522 weight: 0.25523 note: nonlinear differential equations analysis5524 - id: T101945525 weight: 0.25526 note: nonlinear PDEs5527 - id: T125895528 weight: 0.25529 note: differential equations and boundary problems5530 - id: T102885531 weight: 0.25532 note: fractional differential equations5533 - id: T111525534 weight: 0.15535 note: stochastic processes and statistical mechanics5536 - id: T128095537 weight: 0.25538 note: contact mechanics and variational inequalities5539 - id: T137345540 weight: 0.15541 note: advanced computational techniques (expert systems)5542 - id: T136085543 weight: 0.35544 note: advanced computational techniques in science and engineering5545 - id: T133985546 weight: 0.45547 note: data analysis with R (statistical and mathematical software packages)5548 openalex_subfields:5549 - id: 17035550 weight: 0.15551 arxiv_categories:5552 - id: cs.NA5553 weight: 1.05554 - id: cs.MS5555 weight: 1.05556 - id: cs.CE5557 weight: 1.05558 - id: physics.comp-ph5559 weight: 0.85560 - id: math.OC5561 weight: 0.25562 - id: cs.DC5563 weight: 0.15564 dblp_streams:5565 - key: journals/siamsc5566 weight: 1.05567 - key: journals/jcphy5568 weight: 1.05569 - key: journals/cphysics5570 weight: 1.05571 - key: journals/jcam5572 weight: 1.05573 - key: journals/na5574 weight: 1.05575 - key: journals/siamnum5576 weight: 1.05577 - key: journals/toms5578 weight: 1.05579 - key: conf/iccS5580 weight: 1.05581 - key: journals/jocs5582 weight: 1.05583 - key: journals/jscic5584 weight: 1.05585 - key: journals/tomacs5586 weight: 0.85587 - key: journals/mcs5588 weight: 0.85589 - key: journals/cma5590 weight: 0.85591 - key: journals/cam5592 weight: 0.85593 - key: journals/ijcm5594 weight: 0.85595 - key: conf/xsede5596 weight: 0.85597 - key: journals/amc5598 weight: 0.75599 - key: journals/ewc5600 weight: 0.75601 - key: conf/wsc5602 weight: 0.75603 - key: journals/simpra5604 weight: 0.75605 - key: journals/jcmse5606 weight: 0.75607 - key: journals/computation5608 weight: 0.75609 - key: journals/ijhpca5610 weight: 0.65611 - key: journals/cce5612 weight: 0.65613 - key: journals/jcc5614 weight: 0.65615 - key: journals/gandc5616 weight: 0.65617 - key: journals/jamc5618 weight: 0.65619 - key: conf/sc5620 weight: 0.55621 - key: journals/cnsns5622 weight: 0.55623 - key: journals/ncs5624 weight: 0.55625 - key: journals/envsoft5626 weight: 0.55627 - key: journals/appml5628 weight: 0.55629 - key: journals/siamam5630 weight: 0.55631 - key: journals/aes5632 weight: 0.55633 - key: journals/jossw5634 weight: 0.55635 - key: journals/softx5636 weight: 0.55637 - key: journals/mlst5638 weight: 0.45639 - key: journals/esi5640 weight: 0.45641 - key: journals/cstat5642 weight: 0.45643 - key: journals/sac5644 weight: 0.45645 - key: journals/siamma5646 weight: 0.35647 - key: journals/cacie5648 weight: 0.35649 - key: journals/cmpb5650 weight: 0.35651 - key: journals/csda5652 weight: 0.35653 - key: journals/cssc5654 weight: 0.35655 - key: journals/cmc5656 weight: 0.35657 - key: journals/axioms5658 weight: 0.25659 - key: journals/mp5660 weight: 0.25661 - key: journals/jota5662 weight: 0.25663 - key: conf/ipps5664 weight: 0.25665 - key: journals/ecoi5666 weight: 0.25667 - key: journals/jns5668 weight: 0.25669 - key: journals/tpds5670 weight: 0.15671 - key: journals/jpdc5672 weight: 0.15673 - key: journals/siamjo5674 weight: 0.15675 - key: journals/symmetry5676 weight: 0.15677 - key: journals/entropy5678 weight: 0.15679 keywords:5680 - pattern: (?i)\b(scientific|numerical|high-?performance|computational|simulation) (computing|simulations?|methods?|analysis|modell?ing|software|linear algebra|workflows?|physics|science|fluid dynamics|mechanics|chemistry|materials science|engineering|electromagnetics|acoustics|astrophysics|geoscience|seismology|codes?|libraries|kernels?|applications?|frameworks?|solvers?|schemes?|algorithms?|experiments?|studies)\b|\bscientific (machine learning|ML|software|codes?|applications?|workflows?|visuali[sz]ation)\b|\bSciML\b5681 weight: 1.05682 field: both5683 - pattern: (?i)\b(finite (element|difference|volume) (methods?|schemes?|discreti[sz]ations?|analysis|solvers?|models?|simulations?)|FEM\b|FEA\b|FDM\b|FVM\b|isogeometric|spectral (methods?|elements?)|discontinuous Galerkin|DG methods?|multigrid|algebraic multigrid|AMG\b|domain decomposition|preconditioners?|preconditioning|Krylov|GMRES|BiCGStab|conjugate gradient|CG solvers?|sparse (linear (systems?|solvers?)|matrix|matrices|direct solvers?|factori[sz]ation)|linear solvers?|iterative solvers?|eigenvalue (problems?|solvers?|computations?)|eigensolvers?|Lanczos|Arnoldi|SVD\b|singular value decomposition|QR (factori[sz]ation|decomposition|algorithm)|LU (factori[sz]ation|decomposition)|Cholesky|BLAS|LAPACK|ScaLAPACK|MAGMA|cuBLAS|PETSc|Trilinos|hypre|FEniCS|deal\.II|MFEM|Firedrake|MOOSE|OpenFOAM|LAMMPS|GROMACS|NAMD|AMBER|Quantum ESPRESSO|VASP|CP2K|Gaussian \d\d|ORCA|GAMESS|NWChem|molecular dynamics (simulations?|codes?|software|packages?|engines?)|MD simulations?|Monte Carlo (simulations?|methods?|integration|sampling)|lattice5684 Boltzmann|particle-?in-?cell|PIC (simulations?|codes?)|smoothed particle|SPH\b|N-?body|fast multipole|FMM\b|Barnes-?Hut|adaptive mesh refinement|AMR\b|mesh (generation|refinement|adaptation|quality)|unstructured (meshes?|grids?)|structured grids?|stencil (computations?|codes?)|time[- ]stepping|time integration|Runge-?Kutta|implicit (schemes?|solvers?|time)|ODE solvers?|PDE solvers?|partial differential equations?|PDEs?\b|ordinary differential equations?|ODEs?\b|stiff (systems|equations|ODEs)|boundary value problems?|initial value problems?|uncertainty quantification|UQ\b|polynomial chaos|stochastic (collocation|Galerkin|PDEs?)|sensitivity analysis|Sobol|reduced[- ]order model(s|ing)?|ROM\b|model order reduction|MOR\b|proper orthogonal decomposition|POD\b|dynamic mode decomposition|DMD\b|surrogate model(s|ing)?|emulators?|Gaussian process emulat|Kriging for simulation|physics-?informed (neural|machine learning|deep)|PINNs?\b|neural operators?|Fourier neural operator|FNO\b|DeepONet|operator5685 learning|neural (PDE|ODE) solvers?|differentiable (physics|simulation|programming|solvers?)|automatic differentiation|adjoint (methods?|sensitivity|solvers?)|inverse problems?|data assimilation|Kalman filter for (simulation|assimilation)|ensemble Kalman|4D-?Var|floating-?point (arithmetic|precision|errors?|formats?)|mixed-?precision (arithmetic|solvers?|algorithms?|iterative)|interval arithmetic|verified (numerics|computing)|rounding errors?|numerical (stability|accuracy|precision|errors?)|computer algebra|symbolic computation|symbolic-?numeric|quadrature|cubature|numerical integration|interpolation (schemes?|methods?)|splines?|radial basis functions?|RBF\b|tensor (decompositions?|trains?|networks? for (PDE|simulation)|methods? for)|low-?rank (approximation|tensor)|hierarchical matrices|H-?matrices|fast (solvers?|transforms?)|FFT\b|fast Fourier|HPC (applications?|codes?|software|workflows?|systems? for science)|exascale (computing|applications?|software|codes?)|ECP\b|petascale|supercomput\w+|performance5686 portability|Kokkos|RAJA|SYCL|OpenACC|OpenMP offload|CUDA (for|implementation of) (simulation|solvers?|PDE)|GPU-?accelerated (simulation|solvers?|computing|codes?|linear algebra)|GPU (implementation|acceleration) of (numerical|simulation|solvers?|FEM|molecular)|co-?design of (scientific|HPC)|scientific (workflow|data) management|in[- ]situ (visuali[sz]ation|analysis)|checkpoint(ing)? (for|of) (simulation|HPC)|research software (engineering|sustainability)|RSE\b|reproducib(le|ility) (of|in) (computational|scientific|simulation))\b5687 weight: 1.05688 field: both5689 - pattern: (?i)\b(climate (model(s|ing|ling)?|simulations?|codes?)|earth system model|weather (prediction|forecasting|model)s?|numerical weather|NWP\b|ocean (model|circulation model)|atmospheric (model|dynamics simulation)|seismic (simulation|inversion|imaging|wave propagation)|CFD\b|turbulence (simulation|model(s|ing)?|DNS|LES)|direct numerical simulation|large-?eddy simulation|Navier-?Stokes solvers?|combustion simulation|plasma simulation|magnetohydrodynamic|MHD simulation|astrophysical simulation|cosmological simulation|gravitational (wave|N-?body) simulation|density functional theory|DFT (calculations?|simulations?|codes?)|ab initio (calculations?|molecular dynamics|simulations?)|first-?principles (calculations?|simulations?)|quantum chemistry (calculations?|software|methods?)|electronic structure (calculations?|codes?|methods?)|coupled cluster|Hartree-?Fock|machine learning (interatomic|force field)|neural network potentials?|MLIPs?\b|multiscale (modeling|simulation)|multiphysics|fluid-?structure5690 interaction|FSI\b|structural (analysis|mechanics simulation)|crash simulation|topology optimi[sz]ation|computational (electromagnetics|acoustics|biomechanics|hemodynamics|geomechanics|hydrology|materials)|digital twins? (of|for) (physical|engineering|industrial))\b5691 weight: 0.85692 field: both5693 - pattern: (?i)\b(simulations?|solvers?|numerical|discreti[sz]ation|convergence (rate|order|analysis)|stability analysis|error (estimates?|analysis|bounds?)|a posteriori|a priori|accuracy|computational (cost|efficiency|time)|high-?order|mesh|grid|time step)\b5694 weight: 0.35695 field: both5696 exclusions: []5697 related:5698 - distributed_computing5699 - computational_biology5700 - algorithms5701 - computer_graphics5702 - ai_accelerators5703 - autonomous_scientific_discovery5704 - compilers5705 - ml_theory5706 parent_of: []5707 child_of: []5708 provenance: Numerical topics are split between CS 1703 (T11697, T10792), Mathematics 26 (T11416, T12727, T11205, T13487) and Engineering 22 (T10339, T11245, T10514, CFD); mapped with weights by numerical-method content. SIAM SISC/JCP/CPC/JCAM/ToMS/ICCS/JoCS pure; cs.NA/cs.MS/cs.CE suffice alone.5709- id: computational_biology5710 number: 345711 name: Computational Biology5712 area: computational_science5713 definition: 'Computational methods for biological and biomedical data: bioinformatics and genomics, protein structure and design, molecular modelling and computational drug discovery, single-cell and multi-omics analysis, systems and synthetic biology, biomedical text mining, computational neuroscience, biomedical and health informatics methods, DNA/molecular computing. Medical image analysis is shared with computer_vision; numerical methods as such are scientific_computing.'5714 openalex_topics:5715 - id: T102115716 weight: 1.05717 note: computational drug discovery methods5718 - id: T108875719 weight: 1.05720 note: bioinformatics and genomic networks5721 - id: T122545722 weight: 1.05723 note: machine learning in bioinformatics5724 - id: T139375725 weight: 0.95726 note: genetics, bioinformatics and biomedical research5727 - id: T120295728 weight: 0.85729 note: DNA and biological computing5730 - id: T117105731 weight: 0.65732 note: biomedical text mining and ontologies5733 - id: T100445734 weight: 0.65735 note: protein structure and dynamics5736 - id: T112895737 weight: 0.65738 note: single-cell and spatial transcriptomics5739 - id: T108855740 weight: 0.65741 note: gene expression and cancer classification5742 - id: T100155743 weight: 0.55744 note: genomics and phylogenetic studies5745 - id: T128595746 weight: 0.55747 note: cell image analysis5748 - id: T102225749 weight: 0.45750 note: genomics and chromatin dynamics5751 - id: T108625752 weight: 0.45753 note: AI in cancer detection5754 - id: T112875755 weight: 0.45756 note: cancer genomics and diagnostics5757 - id: T119865758 weight: 0.45759 note: scientific computing and data management (bioinformatics pipelines)5760 - id: T137025761 weight: 0.35762 note: machine learning in healthcare5763 - id: T112135764 weight: 0.35765 note: genomic variations and chromosomal abnormalities5766 - id: T116425767 weight: 0.35768 note: genomics and rare diseases5769 - id: T124225770 weight: 0.35771 note: radiomics and ML in medical imaging5772 - id: T100525773 weight: 0.35774 note: medical image segmentation5775 - id: T104295776 weight: 0.35777 note: EEG and brain-computer interfaces5778 - id: T116015779 weight: 0.35780 note: neuroscience and neural engineering5781 - id: T128745782 weight: 0.35783 note: digital imaging for blood diseases5784 - id: T101205785 weight: 0.25786 note: bacterial genetics and biotechnology5787 - id: T118795788 weight: 0.25789 note: protist diversity and phylogeny5790 - id: T100665791 weight: 0.25792 note: gut microbiota5793 - id: T119485794 weight: 0.25795 note: ML in materials (molecular ML)5796 - id: T105815797 weight: 0.25798 note: neural dynamics and brain function5799 - id: T119085800 weight: 0.25801 note: protein interaction studies5802 - id: T137595803 weight: 0.25804 note: medical imaging and pathology5805 - id: T118195806 weight: 0.35807 note: data-driven disease surveillance5808 - id: T125685809 weight: 0.15810 note: plant taxonomy and phylogenetics5811 - id: T116365812 weight: 0.25813 note: AI in healthcare and education5814 - id: T144005815 weight: 0.25816 note: medical coding and health information5817 openalex_subfields:5818 - id: 13125819 weight: 0.25820 arxiv_categories:5821 - id: q-bio.QM5822 weight: 1.05823 - id: q-bio.GN5824 weight: 1.05825 - id: cs.CE5826 weight: 0.25827 dblp_streams:5828 - key: journals/bioinformatics5829 weight: 1.05830 - key: journals/bib5831 weight: 1.05832 - key: journals/bmcbi5833 weight: 1.05834 - key: journals/ploscb5835 weight: 1.05836 - key: journals/tcbb5837 weight: 1.05838 - key: journals/jcb5839 weight: 1.05840 - key: conf/recomb5841 weight: 1.05842 - key: conf/bcb5843 weight: 1.05844 - key: conf/psb5845 weight: 1.05846 - key: journals/jcheminf5847 weight: 1.05848 - key: journals/candc5849 weight: 1.05850 - key: journals/biodb5851 weight: 1.05852 - key: conf/bibm5853 weight: 0.85854 - key: journals/jcisd5855 weight: 0.85856 - key: journals/nar5857 weight: 0.65858 - key: journals/jbi5859 weight: 0.65860 - key: journals/biosystems5861 weight: 0.65862 - key: journals/ficn5863 weight: 0.65864 - key: journals/cbm5865 weight: 0.55866 - key: journals/cmpb5867 weight: 0.55868 - key: journals/jcc5869 weight: 0.55870 - key: journals/titb5871 weight: 0.45872 - key: journals/artmed5873 weight: 0.45874 - key: journals/neuroimage5875 weight: 0.45876 - key: conf/biostec5877 weight: 0.45878 - key: journals/jamia5879 weight: 0.35880 - key: journals/midm5881 weight: 0.35882 - key: conf/amia5883 weight: 0.35884 - key: journals/npjdm5885 weight: 0.35886 - key: conf/embc5887 weight: 0.35888 - key: journals/tbe5889 weight: 0.35890 - key: journals/mbec5891 weight: 0.35892 - key: conf/isbi5893 weight: 0.35894 - key: conf/cbms5895 weight: 0.35896 - key: conf/bmei5897 weight: 0.35898 - key: journals/patterns5899 weight: 0.35900 - key: conf/cinc5901 weight: 0.35902 - key: journals/ecoi5903 weight: 0.35904 - key: journals/jocn5905 weight: 0.25906 - key: journals/cars5907 weight: 0.25908 - key: journals/mia5909 weight: 0.25910 - key: journals/tmi5911 weight: 0.25912 - key: conf/miccai5913 weight: 0.25914 - key: journals/bmcmi5915 weight: 0.25916 - key: journals/fdgth5917 weight: 0.25918 - key: journals/ijmi5919 weight: 0.25920 - key: journals/jdi5921 weight: 0.25922 - key: journals/cin5923 weight: 0.25924 - key: journals/jmihi5925 weight: 0.25926 - key: journals/cmig5927 weight: 0.25928 - key: journals/mlst5929 weight: 0.25930 - key: journals/ncs5931 weight: 0.25932 - key: journals/jms5933 weight: 0.15934 - key: journals/cce5935 weight: 0.15936 - key: journals/cogcom5937 weight: 0.15938 - key: journals/natmi5939 weight: 0.15940 - key: conf/medinfo5941 weight: 0.35942 - key: conf/mie5943 weight: 0.35944 - key: journals/bspc5945 weight: 0.35946 - key: journals/jmlr5947 weight: 0.025948 keywords:5949 - pattern: (?i)\b(bioinformatics?|computational (biology|genomics|neuroscience|chemistry|drug (design|discovery)|biomedicine|pathology|oncology|epidemiology|immunology|proteomics|structural biology|biophysics|medicine|psychiatry|phenotyping|ecology|evolution)|systems biology|synthetic biology|biomedical (informatics|data science|text mining|NLP|knowledge graphs?|ontolog)|cheminformatics|chemoinformatics|health informatics|clinical informatics|medical informatics|neuroinformatics|phylogenetics?|phylogenomics|metagenomics?|pharmacogenomics|immunoinformatics|biostatistics for genomics|biocomputing|DNA computing|molecular computing|biological computing)\b5950 weight: 1.05951 field: both5952 - pattern: (?i)\b(genom(e|es|ic|ics)|transcriptom(e|ic|ics)|proteom(e|ic|ics)|metabolom(e|ic|ics)|epigenom(e|ic|ics)|microbiom(e|ic|ics)|single-?cell (RNA|sequencing|analysis|data|omics|atlas|clustering)|scRNA-?seq|snRNA-?seq|RNA-?seq|ChIP-?seq|ATAC-?seq|Hi-?C\b|DNA (sequencing|methylation|sequences?|barcod)|sequence (alignment|assembly|analysis|motifs?|logos?)|read (alignment|mapping|assembly)|genome (assembly|annotation|wide association|editing|browsers?|graphs?)|pangenom|GWAS|QTL\b|variant (calling|annotation|effect|prioriti[sz]ation)|SNPs?\b|indels?|structural variants?|copy number|gene (expression|regulatory networks?|ontology|set enrichment|prioriti[sz]ation|fusion|annotation)|GRNs?\b|differential expression|enrichment analysis|pathway (analysis|enrichment|databases?)|KEGG|Reactome|protein (structure prediction|folding|design|function prediction|language models?|interactions?|docking|engineering|families|domains|sequences?|contact maps?)|AlphaFold|RoseTTAFold|ESM-?[23]|ESMFold|ProtTrans|molecular5953 (docking|dynamics|property prediction|generation|design|representation|fingerprints?|graphs?|similarity)|drug (discovery|design|repurposing|repositioning|targets?|response prediction|likeness|combination)|virtual screening|QSAR|QSPR|ADMET|binding (affinity|sites?|pockets?)|ligands?|de novo (drug|molecule|molecular|protein|peptide|antibody) (design|generation)|antibod(y|ies) (design|engineering|modeling)|CRISPR (design|guide|screening)|guide RNA design|metagenom|microbiome analysis|multi-?omics|pan-?cancer|biomarker (discovery|identification)|survival (analysis|prediction) (of|for|in) (patients|cancer)|precision (medicine|oncology)|electronic health records?|EHRs?\b|EMRs?\b|clinical (decision support|NLP|prediction models?|text|notes|trials? (matching|design|emulation)|data warehouses?)|medical (coding|ontolog|concept)|UMLS|SNOMED|ICD-?1[01]|FHIR|OMOP|phenotyp(e|ing) (algorithms?|from EHR)|neural (encoding|decoding) of|spike sorting|connectom|brain (networks?|imaging analysis|simulation|atlas|parcellation)|neural5954 (population|circuit) models?|computational (models? of neurons?|psychiatry)|population genetics|coalescent|phylogenetic (trees?|inference|reconstruction|comparative)|molecular evolution|epidemiological model(ing|s)|compartmental models?|SEIR|SIR models?|disease (transmission|spread) model|cell (segmentation|tracking|type annotation|atlas|lineage)|histopatholog|digital pathology|whole-?slide images?|radiomics|radiogenomics|DNA (computing|storage|data storage|origami)|molecular (computing|programming|circuits?)|biological (networks?|sequences?|data(bases?)?|computing|pathways?|systems?)|protein-?protein interaction|PPI networks?|mass spectrometry (data|analysis|proteomics)|peptide identification|flow cytometry analysis|spatial (transcriptomics|omics)|cell-?cell communication|trajectory inference|pseudotime|batch (effect|correction) (in|for) (single|RNA|omics)|dimensionality reduction (of|for) (single-?cell|omics)|UMAP (of|for) (cells|single)|Seurat|Scanpy|Bioconductor|Biopython|BLAST|HMMER|BWA|Bowtie|STAR5955 aligner|GATK|samtools|Nextflow|Snakemake|Galaxy (platform|workflows?)|bioRxiv|GEO datasets?|TCGA|UK Biobank|ENCODE|PDB\b|Protein Data Bank|UniProt|ChEMBL|PubChem|ZINC database|DrugBank|MIMIC-?(III|IV))\b5956 weight: 1.05957 field: both5958 - pattern: (?i)\b(biological|biomedical|clinical|medical|health(care)?|patients?|diseases?|cancer|tumou?rs?|proteins?|genes?|cells?|cellular|neurons?|neuronal|brain|molecular|molecules?|drugs?|pharmac\w+|omics|sequencing|biology|biologists?|physicians?|hospitals?)\b5959 weight: 0.35960 field: both5961 exclusions: []5962 related:5963 - scientific_computing5964 - nlp5965 - computer_vision5966 - ml_theory5967 - autonomous_scientific_discovery5968 - privacy_preserving_computation5969 - generative_ai5970 parent_of: []5971 child_of: []5972 provenance: Computational-biology topics live in CS 1703 (T10211 drug discovery) and Biochemistry 13 (T10887, T12254, T11710, T13937, T12029); genomics/protein topics (T10222, T10044, T11289...) are mapped at 0.4-0.6 because only part of their works are computational. Bioinformatics/BIB/BMC Bioinf/PLoS CB/TCBB/JCB/RECOMB/PSB/BCB pure; medical-informatics venues partial.5973- id: computer_graphics5974 number: 355975 name: Computer Graphics5976 area: perception_interaction5977 definition: 'Synthesis and manipulation of visual content from models: rendering, geometry processing and modelling, animation and simulation for graphics, neural rendering and 3D representations, visualisation, procedural content, game and VR engines. Image understanding is computer_vision; pixel-space generative models are generative_ai; user studies of VR are hci.'5978 openalex_topics:5979 - id: T104815980 weight: 1.05981 note: computer graphics and visualization techniques5982 - id: T122905983 weight: 1.05984 note: human motion and animation5985 - id: T109965986 weight: 0.85987 note: computational geometry and mesh generation5988 - id: T107995989 weight: 0.85990 note: data visualization and analytics5991 - id: T107195992 weight: 0.85993 note: 3D shape modeling and analysis5994 - id: T143395995 weight: 0.45996 note: image processing and 3D reconstruction5997 - id: T107895998 weight: 0.35999 note: interactive and immersive displays6000 - id: T108886001 weight: 0.36002 note: augmented reality6003 - id: T106486004 weight: 0.36005 note: virtual reality6006 - id: T135186007 weight: 0.36008 note: architecture and computational design6009 - id: T126986010 weight: 0.36011 note: 3D modeling in geospatial applications6012 - id: T142546013 weight: 0.36014 note: digital media and visual art6015 - id: T118976016 weight: 0.26017 note: digital holography and microscopy6018 - id: T112116019 weight: 0.26020 note: 3D surveying and cultural heritage6021 - id: T107756022 weight: 0.26023 note: image synthesis6024 openalex_subfields:6025 - id: 17046026 weight: 0.66027 arxiv_categories:6028 - id: cs.GR6029 weight: 1.06030 - id: cs.CG6031 weight: 0.56032 - id: cs.CV6033 weight: 0.16034 - id: cs.HC6035 weight: 0.16036 dblp_streams:6037 - key: journals/tog6038 weight: 1.06039 - key: journals/cgf6040 weight: 1.06041 - key: conf/siggraph6042 weight: 1.06043 - key: conf/siggrapha6044 weight: 1.06045 - key: journals/cg6046 weight: 1.06047 - key: journals/vc6048 weight: 1.06049 - key: conf/pg6050 weight: 1.06051 - key: conf/visualization6052 weight: 1.06053 - key: journals/tvcg6054 weight: 0.86055 - key: conf/3dim6056 weight: 0.56057 - key: conf/cccg6058 weight: 0.46059 - key: journals/dcg6060 weight: 0.36061 - key: conf/vr6062 weight: 0.36063 - key: conf/ismar6064 weight: 0.36065 - key: journals/jei6066 weight: 0.26067 - key: journals/vr6068 weight: 0.26069 - key: conf/cvpr6070 weight: 0.16071 - key: journals/mta6072 weight: 0.16073 - key: journals/entcom6074 weight: 0.36075 - key: conf/cig6076 weight: 0.36077 - key: journals/cacie6078 weight: 0.16079 keywords:6080 - pattern: (?i)\bcomputer graphics\b|\bgraphics (hardware|pipeline|processing|applications?)\b|\bSIGGRAPH\b6081 weight: 1.06082 field: both6083 - pattern: (?i)\b(rendering|ray[- ]tracing|path[- ]tracing|rasteri[sz]ation|shading|shaders?|global illumination|radiance|radiosity|BRDFs?|BSDFs?|photo-?realistic|real-?time rendering|differentiable rendering|neural rendering|inverse rendering|Monte Carlo rendering|light transport|participating media|subsurface scattering|anti-?aliasing|level of detail|LOD\b|texture (synthesis|mapping|compression)|image-?based (rendering|lighting)|HDR (imaging|rendering)|tone mapping|appearance (modeling|capture))\b6084 weight: 0.96085 field: both6086 - pattern: (?i)\b(mesh(es|ing)?|geometry processing|subdivision surfaces?|NURBS|B-?splines?|signed distance (fields?|functions?)|SDFs?\b|implicit surfaces?|tessellation|remeshing|surface (parameteri[sz]ation|reconstruction)|point[- ]set surfaces|geometric modeling|solid modeling|CAD (models?|modeling)|boundary representation|B-?rep|constructive solid|isosurface|marching cubes|Laplacian (smoothing|editing)|discrete differential geometry|as-?rigid-?as-?possible|shape (analysis|matching|correspondence|deformation|interpolation|modeling|grammars?))\b6087 weight: 0.86088 field: both6089 - pattern: (?i)\b(character animation|skeletal animation|motion capture|mocap|motion (synthesis|retargeting|editing|matching)|physics-?based (animation|character)|cloth simulation|hair simulation|fluid (simulation|animation) (for|in) graphics|position-?based dynamics|material point method|skinning|rigging|inverse kinematics for animation|facial animation|crowd simulation|procedural animation|keyframe)\b6090 weight: 1.06091 field: both6092 - pattern: (?i)\b(3D (modeling|modelling|shapes?|content|assets?|scenes? (generation|synthesis)|Gaussians?|avatars?)|NeRFs?|neural radiance fields?|Gaussian splatting|3DGS|volume rendering|volumetric (rendering|video|capture)|neural (implicit|fields?|scene representations?)|novel view synthesis|view synthesis|free-?viewpoint|light fields?|digital humans?|avatars?|virtual (humans|characters|try-?on))\b6093 weight: 0.86094 field: both6095 - pattern: (?i)\b(scientific|information|data|volume|flow|medical|immersive) visuali[sz]ation\b|\bvisual analytics\b|\bvisuali[sz]ation (techniques?|systems?|design|tools?|research|pipeline)\b|\bInfoVis\b|\bSciVis\b|\bvisual encodings?\b|\bglyphs?\b|\btreemaps?\b|\bparallel coordinates\b6096 weight: 0.86097 field: both6098 - pattern: (?i)\b(procedural (generation|modeling|content|textures?)|game engines?|Unity|Unreal Engine|GPU (shaders?|rendering|ray)|Vulkan|OpenGL|DirectX|WebGL|WebGPU|real-?time graphics|interactive graphics|graphics APIs?)\b6099 weight: 0.76100 field: both6101 - pattern: (?i)\b(computational geometry|Voronoi|Delaunay|convex hull|triangulations?|mesh generation|geometric (algorithms?|computing)|computational (design|fabrication)|3D printing (design|geometry)|digital fabrication|architectural geometry)\b6102 weight: 0.66103 field: both6104 - pattern: (?i)\b(3D|geometry|geometric|shapes?|surfaces?|animation|visual)\b6105 weight: 0.26106 field: both6107 exclusions: []6108 related:6109 - computer_vision6110 - hci6111 - generative_ai6112 - scientific_computing6113 - algorithms6114 parent_of: []6115 child_of: []6116 provenance: All 4 topics of OpenAlex subfield 1704 mapped (T13615 transportation safety is the unmapped one), plus animation (Engineering 2207) and visualization (1707). TOG/CGF/SIGGRAPH are near-pure; TVCG shared with HCI.6117- id: privacy_preserving_computation6118 number: 366119 name: Privacy-Preserving Computation6120 area: security_privacy6121 definition: 'Computing on, releasing or sharing data while limiting what is learned about individuals: differential privacy, homomorphic encryption, secure multi-party computation and TEEs applied to data analysis and ML, anonymisation and synthetic data, private information retrieval, privacy attacks on models and their defences, machine unlearning, privacy engineering and regulation (GDPR). Federated learning is a child; cryptographic constructions as such are applied_cryptography.'6122 openalex_topics:6123 - id: T107646124 weight: 1.06125 note: privacy-preserving technologies in data (federated learning, differential privacy, SMPC, k-anonymity)6126 - id: T110456127 weight: 0.66128 note: privacy, security and data protection6129 - id: T129436130 weight: 0.56131 note: COVID-19 digital contact tracing6132 - id: T116146133 weight: 0.46134 note: cloud data security (outsourced encrypted data)6135 - id: T102376136 weight: 0.36137 note: cryptography and data security6138 - id: T129216139 weight: 0.36140 note: European criminal justice and data protection6141 - id: T109276142 weight: 0.36143 note: access control and trust6144 - id: T118006145 weight: 0.26146 note: user authentication6147 - id: T139996148 weight: 0.26149 note: digital rights management6150 - id: T116936151 weight: 0.26152 note: cryptography and residue arithmetic (HE arithmetic)6153 - id: T115986154 weight: 0.26155 note: secure e-voting6156 - id: T108286157 weight: 0.26158 note: biometric identification (template protection)6159 - id: T116896160 weight: 0.26161 note: adversarial ML (membership inference)6162 openalex_subfields: []6163 arxiv_categories:6164 - id: cs.CR6165 weight: 0.46166 - id: cs.LG6167 weight: 0.16168 - id: cs.DB6169 weight: 0.16170 - id: cs.CY6171 weight: 0.16172 dblp_streams:6173 - key: journals/popets6174 weight: 1.06175 - key: conf/pst6176 weight: 0.66177 - key: journals/dud6178 weight: 0.56179 - key: conf/satml6180 weight: 0.46181 - key: conf/trustcom6182 weight: 0.46183 - key: conf/ccs6184 weight: 0.36185 - key: conf/uss6186 weight: 0.36187 - key: conf/sp6188 weight: 0.36189 - key: conf/ndss6190 weight: 0.36191 - key: journals/tdsc6192 weight: 0.36193 - key: conf/esorics6194 weight: 0.36195 - key: conf/IEEEares6196 weight: 0.36197 - key: journals/tifs6198 weight: 0.26199 - key: journals/iacr6200 weight: 0.26201 - key: journals/compsec6202 weight: 0.26203 - key: journals/istr6204 weight: 0.26205 - key: journals/ijisec6206 weight: 0.26207 - key: conf/fat6208 weight: 0.26209 - key: journals/tkde6210 weight: 0.16211 - key: conf/sigmod6212 weight: 0.16213 - key: journals/pvldb6214 weight: 0.16215 - key: journals/cr6216 weight: 0.26217 - key: conf/nips6218 weight: 0.056219 - key: conf/icml6220 weight: 0.056221 - key: journals/jamia6222 weight: 0.16223 - key: journals/titb6224 weight: 0.16225 keywords:6226 - pattern: (?i)\bprivacy-?preserving\b|\bprivacy-?enhancing\b|\bprivacy-?enhanced\b|\bPETs?\b|\bprivacy-?aware\b|\bprivacy-?friendly\b|\bprivacy-?protecting\b|\bprivacy-?first\b|\bprivate (computation|inference|training|learning|information retrieval|set intersection|aggregation|analytics|statistics|record linkage|data (analysis|release|sharing|publishing)|queries|counting|mean estimation|synthetic)\b6227 weight: 1.06228 field: both6229 - pattern: (?i)\b(differential(ly)?[- ]privac(y|ate)|DP-?SGD|DP-?FTRL|local differential privacy|LDP\b|central DP|shuffle (model|DP)|Rényi differential|Gaussian mechanism|Laplace mechanism|exponential mechanism|privacy (budget|amplification|accounting|accountant|loss|guarantees?|leakage|attacks?|risks?|threats?|auditing|audit|breaches?|violations?|harms?|threat models?|implications|preserving|protection|mechanisms?|filters?|definitions?)|\(ε|epsilon-?delta|ε-?differential|moments accountant)\b6230 weight: 1.06231 field: both6232 - pattern: (?i)\b(homomorphic encryption|fully homomorphic|somewhat homomorphic|FHE\b|HE-?based|CKKS|BFV\b|TFHE|SEAL library|secure multi-?party computation|secure (two|multi)-?party|MPC-?based|MPC protocols? for (machine learning|inference|training|data)|secret sharing(-| )based (computation|learning)|garbled circuits? for|oblivious (transfer|RAM|inference|shuffling)|ORAM|trusted execution environments? for (privacy|private)|SGX-?based (privacy|private)|private information retrieval|PIR\b|zero-?knowledge proofs? (for|of) (machine learning|inference|training|data)|zkML|k-?anonymity|l-?diversity|t-?closeness|anonymi[sz](ation|ed|ing)|pseudonymi[sz]|de-?anonymi[sz]ation|re-?identification (risks?|attacks?)|linkage attacks?|synthetic data (generation|release) (for|with) privacy|privacy-?preserving (machine learning|deep learning|data mining|data publishing|record linkage|federated|inference|training|analytics|blockchain|computation|aggregation|statistics|queries|authentication|recommendation|biometrics|smart6233 grid|IoT|cloud|genomics)|PPML\b|PPDM\b|PPRL\b|membership inference|model inversion|attribute inference|property inference|gradient (leakage|inversion)|reconstruction attacks? (on|against) (models?|training data)|training data (extraction|leakage|memori[sz]ation)|data (leakage|minimi[sz]ation|protection by design)|machine unlearning|certified (unlearning|removal)|right to be forgotten|right to erasure|GDPR|CCPA|HIPAA (compliance|privacy)|data protection (regulation|laws?|impact assessment|authorities)|DPIA|consent management|cookie (consent|banners?)|privacy (polic(y|ies)|by design|engineering|compliance|regulation|laws?|labels?|nutrition labels?|dashboards?|settings|preferences|controls?)|purpose limitation|data (brokers?|sovereignty|trusts?)|personal data (processing|protection)|PII\b|personally identifiable)\b6234 weight: 1.06235 field: both6236 - pattern: (?i)\b(location privacy|trajectory privacy|genomic privacy|health data privacy|user privacy|data privacy|information privacy|individual privacy|privacy concerns?|privacy risks?|privacy (threat|attack) models?|privacy-?utility (trade-?off|tradeoff)|privacy (of|in|for) (users|individuals|patients|children|IoT|smart|mobile|location|voice|AR|VR|LLMs?|language models?|federated|blockchain|recommender|social)|inference attacks?|side-?channel (leakage|privacy)|website fingerprinting|traffic analysis attacks?|Tor\b|onion routing|anonymous (communication|credentials|networks?|messaging)|mix-?nets?|metadata privacy|unlinkability|unobservability|plausible deniability|contact tracing (apps?|privacy|protocols?)|DP-?3T|exposure notification)\b6237 weight: 0.86238 field: both6239 - pattern: (?i)\bprivacy\b|\bprivate\b|\bconfidential(ity)?\b|\banonymous\b|\bsensitive (data|attributes?|information)\b6240 weight: 0.46241 field: both6242 exclusions:6243 - (?is)^(?!.*(comput|data|algorithm|protocol|model|system|encrypt|differential|anonym|learning|inference|database|app|online|digital|users?)).*\b(privacy (in|of) (nursing|hospital rooms?|the home|toilets?|bedrooms?|bathrooms?)|private (practice|sector|hospitals?|schools?|equity|insurance|property|lands?|forests?|firms?|companies|banks?|clinics?|households?))\b6244 related:6245 - applied_cryptography6246 - cybersecurity6247 - ai_safety6248 - database_systems6249 - blockchain6250 - federated_learning6251 - ml_theory6252 parent_of:6253 - federated_learning6254 child_of: []6255 provenance: 'T10764 (97k works) keywords list federated learning, differential privacy, SMPC, k-anonymity: it is the host of both this category and its child. PoPETs is the only pure venue; security venues partial. Non-computing senses of ''private/privacy'' are vetoed when no computing term co-occurs.'6256- id: federated_learning6257 number: 376258 name: Federated Learning6259 area: security_privacy6260 definition: 'Training models across multiple clients or institutions without centralising their raw data: federated averaging and optimisation under heterogeneity, communication efficiency, client selection, personalisation, secure aggregation and privacy of federated systems, robustness to malicious clients, vertical and cross-silo federated learning, federated fine-tuning of foundation models, decentralised/gossip learning. A child of privacy_preserving_computation; also linked to distributed_computing and edge_computing.'6261 openalex_topics:6262 - id: T107646263 weight: 0.76264 note: privacy-preserving technologies (federated learning, non-IID data, communication efficiency)6265 - id: T102736266 weight: 0.16267 note: IoT and edge computing (federated learning at the edge)6268 - id: T113076269 weight: 0.16270 note: domain adaptation / personalisation6271 - id: T116896272 weight: 0.16273 note: adversarial robustness (Byzantine clients)6274 openalex_subfields: []6275 arxiv_categories:6276 - id: cs.LG6277 weight: 0.26278 - id: cs.DC6279 weight: 0.26280 - id: cs.CR6281 weight: 0.16282 - id: cs.NI6283 weight: 0.16284 dblp_streams:6285 - key: journals/tmc6286 weight: 0.16287 - key: journals/iotj6288 weight: 0.16289 - key: journals/tpds6290 weight: 0.16291 - key: journals/tifs6292 weight: 0.056293 - key: conf/satml6294 weight: 0.16295 - key: journals/tnse6296 weight: 0.16297 - key: journals/tnsm6298 weight: 0.056299 - key: journals/twc6300 weight: 0.056301 - key: journals/jsac6302 weight: 0.056303 - key: conf/infocom6304 weight: 0.056305 - key: journals/tnn6306 weight: 0.056307 - key: journals/tcc6308 weight: 0.056309 - key: conf/nips6310 weight: 0.026311 - key: conf/icml6312 weight: 0.026313 - key: conf/iclr6314 weight: 0.026315 keywords:6316 - pattern: (?i)\bfederated (learning|optimi[sz]ation|training|averaging|analytics|transfer learning|reinforcement learning|graph (learning|neural)|fine-?tuning|LLMs?|foundation models?|unlearning|recommendation|recommender|distillation|clustering|evaluation|inference|systems?|settings?|frameworks?|clients?|servers?|rounds?|aggregation|edge|IoT|healthcare|medical|split|meta-?learning|continual|domain|representation|contrastive|self-?supervised|semi-?supervised|prompt|instruction|benchmarks?|datasets?|simulations?|deployments?|platforms?)\b6317 weight: 1.06318 field: both6319 - pattern: \bFL\b6320 weight: 0.56321 field: both6322 - pattern: (?i)\b(FedAvg|FedProx|FedSGD|SCAFFOLD|FedNova|FedOpt|FedAdam|FedAdagrad|FedYogi|FedBN|FedPer|FedProto|FedDyn|FedMA|MOON\b|Ditto|pFedMe|FedRep|FedALA|FedLoRA|FedIT|FedBERT|personali[sz]ed federated|cross-?silo|cross-?device|non-?IID (data|clients?|settings?|distributions?)|statistical heterogeneity|client (drift|heterogeneity|selection|sampling|participation|dropout|unavailability|stragglers?)|secure aggregation|SecAgg|split learning|SplitFed|decentrali[sz]ed (learning|training|SGD|optimi[sz]ation|federated)|gossip (learning|SGD|averaging)|collaborative learning (without|across) (sharing|institutions?|data silos?|hospitals?)|swarm learning|vertical federated|horizontal federated|VFL\b|HFL\b|federated-?learning|Flower framework|FATE\b|FedML|TensorFlow Federated|TFF\b|LEAF benchmark|FedScale|model poisoning in|Byzantine-?robust (aggregation|federated)|Krum|Trimmed mean|free-?riders? in federated|incentive mechanisms? for federated|federated (unlearning|forgetting))\b6323 weight: 1.06324 field: both6325 - pattern: (?i)\b(communication-?efficient (distributed|learning|training|federated)|gradient (compression|sparsification|quanti[sz]ation) (for|in) (distributed|federated)|model aggregation|aggregation server|local (updates?|epochs?|training|steps?) (on|at) (clients?|devices?|the edge)|global model (and|is) (local|aggregated)|parameter server (for|and) (clients|devices)|on-?device (training|learning) (without|with) (sharing|privacy))\b6326 weight: 0.66327 field: both6328 - pattern: (?i)\b(privacy-?preserving (distributed|collaborative|decentrali[sz]ed) (learning|training|machine learning|deep learning)|data silos?|clients?|edge devices? (train|collaborat)|without (sharing|centrali[sz]ing|uploading|exchanging) (raw |local |private |their )?data)\b6329 weight: 0.66330 field: both6331 exclusions:6332 - (?is)^(?!.*(learning|training|model|client|aggregat|distributed|privacy)).*\b(federated (states?|republic|search|identity|database|cloud|governance|architecture|systems? of|network|information systems?|authentication|SSO|single sign)|federation of)\b6333 related:6334 - privacy_preserving_computation6335 - distributed_computing6336 - edge_computing6337 - ml_theory6338 - ai_safety6339 - foundation_models6340 parent_of: []6341 child_of:6342 - privacy_preserving_computation6343 provenance: No OpenAlex topic or DBLP stream isolates federated learning (it lives inside T10764 and in ML/networking venues), so 'federated <learning-term>' patterns and algorithm names (FedAvg, FedProx, SCAFFOLD...) carry the category at 1.0; bare 'FL' is 0.5 and case-sensitive. Non-ML senses of 'federated' are vetoed when no learning term co-occurs.6344- id: ai_safety6345 number: 386346 name: AI Safety and Alignment6347 area: ai_ml6348 definition: 'Making AI systems safe, aligned, robust, fair, interpretable and governable: alignment and preference learning framed as a safety problem, red-teaming and jailbreaks, adversarial robustness and backdoors, hallucination and truthfulness, bias and fairness, mechanistic interpretability, evaluation of dangerous capabilities, AI governance and regulation. Generic system security is cybersecurity; XAI as a statistical method only is ml_theory.'6349 openalex_topics:6350 - id: T108836351 weight: 1.06352 note: 'Ethics and Social Impacts of AI: AI safety, alignment, fairness, governance'6353 - id: T116896354 weight: 0.66355 note: adversarial robustness, backdoors, prompt injection6356 - id: T120266357 weight: 0.56358 note: explainable AI / mechanistic interpretability6359 - id: T138516360 weight: 0.46361 note: law, AI and intellectual property6362 - id: T122626363 weight: 0.36364 note: hate speech and cyberbullying detection (harm mitigation)6365 - id: T111476366 weight: 0.36367 note: misinformation and its impacts6368 - id: T105256369 weight: 0.26370 note: human-automation interaction and safety6371 - id: T143076372 weight: 0.16373 note: bioethics and human rights6374 openalex_subfields: []6375 arxiv_categories:6376 - id: cs.CY6377 weight: 0.56378 - id: cs.AI6379 weight: 0.26380 - id: cs.LG6381 weight: 0.16382 - id: cs.CL6383 weight: 0.16384 - id: cs.CR6385 weight: 0.16386 dblp_streams:6387 - key: conf/fat6388 weight: 1.06389 - key: conf/aies6390 weight: 1.06391 - key: journals/aiethics6392 weight: 1.06393 - key: conf/satml6394 weight: 1.06395 - key: journals/ais6396 weight: 0.56397 - key: journals/natmi6398 weight: 0.26399 - key: conf/nips6400 weight: 0.16401 - key: conf/iclr6402 weight: 0.16403 - key: conf/icml6404 weight: 0.16405 - key: journals/tai6406 weight: 0.26407 - key: journals/dai6408 weight: 0.16409 - key: conf/sp6410 weight: 0.16411 - key: conf/ccs6412 weight: 0.16413 keywords:6414 - pattern: (?i)\bAI (safety|alignment|governance|regulation|ethics|risks?|act|auditing|accountability|harms?|misuse|incidents?|oversight|assurance|red[- ]teaming)\b6415 weight: 1.06416 field: both6417 - pattern: (?i)\b(aligned|alignment of|align(ing)?|misaligned|misalignment of) (large )?(language models?|LLMs?|AI (systems?|models?)|foundation models?|agents?)\b|\bsuper-?alignment\b|\bvalue alignment\b|\bhuman values?\b6418 weight: 1.06419 field: both6420 - pattern: (?i)\b(jail-?break(s|ing)?|red[- ]teaming|prompt injection|backdoor (attacks?|defenses?)|data poisoning|model (stealing|extraction|inversion)|membership inference|adversarial (prompts?|suffixes?)|refusal|safety (training|fine-?tuning|guardrails?|alignment|benchmarks?|evaluations?)|guardrails?|harmful (content|outputs?|responses?|requests?)|unsafe (outputs?|behavio(u)?rs?))\b6421 weight: 1.06422 field: both6423 - pattern: (?i)\badversarial (examples?|attacks?|robustness|training|perturbations?|defenses?|vulnerabilit)\b|\bcertified robustness\b|\brobustness (certification|verification)\b6424 weight: 0.86425 field: both6426 - pattern: (?i)\b(algorithmic|AI|model|machine learning|ML|LLM|gender|racial|demographic|social) (fairness|bias(es)?|discrimination|transparency|accountability|audits?|auditing)\b|\bbias (mitigation|amplification|in (LLMs?|language models?|AI))\b|\bdebiasing\b6427 weight: 1.06428 field: both6429 - pattern: (?i)\b(responsible|trustworthy|ethical|safe|harmless|honest|helpful|human-?centered|human-?compatible|beneficial) (AI|artificial intelligence|machine learning|LLMs?|agents?)\b6430 weight: 1.06431 field: both6432 - pattern: (?i)\b(mechanistic interpretability|sparse auto-?encoders? (for|on) (LLM|language|features)|activation (steering|patching)|circuit discovery|probing classifiers?|representation engineering|superposition hypothesis|induction heads|feature visuali[sz]ation|concept (bottleneck|activation vectors?)|model editing|knowledge editing)\b6433 weight: 1.06434 field: both6435 - pattern: (?i)\b(hallucinations?|truthfulness|factuality|sycophancy|deceptive alignment|deception|reward hacking|specification gaming|goal misgeneralization|scalable oversight|weak-?to-?strong|constitutional AI|RLHF|preference (learning|optimi[sz]ation)|human feedback|over-?optimi[sz]ation|situational awareness|sandbagging|power-?seeking|instrumental convergence|corrigib)\b6436 weight: 0.86437 field: both6438 - pattern: (?i)\b(existential risks?|catastrophic risks?|x-?risk|frontier (AI|models?)|dangerous capabilit(y|ies)|misuse of AI|dual-?use|AGI (safety|risk|alignment)|superintelligen|loss of control|AI (doom|pause)|compute governance|responsible scaling|model (cards?|evaluations? for safety)|capability evaluations?|system cards?)\b6439 weight: 1.06440 field: both6441 - pattern: (?i)\b(toxic(ity)?|hate speech|harmful|offensive|abusive) (language|content|speech|text|generation|detection)\b|\bcontent moderation\b|\b(misinformation|disinformation|fake news) (detection|generation|and LLMs?)\b6442 weight: 0.56443 field: both6444 - pattern: (?i)\b(watermark(ing)?|detect(ing|ion) of|detecting) (LLM|AI|machine)-?generated (text|content|images?)\b|\bAI-?text detection\b6445 weight: 0.86446 field: both6447 - pattern: (?i)\b(machine unlearning|right to be forgotten|differential privacy for (LLM|language)|memori[sz]ation (in|of) (LLM|language models?)|training data extraction)\b6448 weight: 0.56449 field: both6450 - pattern: (?i)\b(uncertainty (quantification|estimation|calibration)|out-?of-?distribution detection|distribution shift|safe (reinforcement learning|RL|exploration)|runtime monitoring of (neural|ML)|verification of neural networks?)\b6451 weight: 0.46452 field: both6453 - pattern: (?i)\b(ethics|ethical|societal (impact|implications)|social (impact|implications)|regulation|policy|governance|accountability|transparency|explainability|interpretability|fairness|bias|safety|risk)\b6454 weight: 0.26455 field: both6456 exclusions:6457 - (?i)\b(multiple sequence|read|genome|sequence|image|spinal|wheel|dental|teeth|occlusal|fib(er|re)|beam|optical|antenna|shaft|laser) alignment\b(?!.*(AI|LLM|language model|RLHF|human values))6458 related:6459 - llm6460 - ml_theory6461 - cybersecurity6462 - privacy_preserving_computation6463 - ai_agents6464 - hci6465 - reinforcement_learning6466 parent_of: []6467 child_of: []6468 provenance: T10883 (field 33, Social Sciences) explicitly lists 'AI safety', 'AI alignment', 'algorithmic fairness'; T11689 and T12026 host the technical robustness/interpretability halves. FAccT, AIES, SaTML and AI & Ethics are the dedicated venues; the generic ethics/governance words are kept far below threshold.6469- id: sustainable_computing6470 number: 396471 name: Sustainable Computing6472 area: hardware_emerging6473 definition: 'The energy, carbon, water and material footprint of computing and how to reduce it: energy-efficient and carbon-aware systems, data-centre energy and cooling, Green AI and the cost of training and inference, life-cycle and embodied carbon of hardware, green software engineering and networking, energy harvesting and intermittent computing, computing for sustainability when the object studied is the computing system. Generic low-power circuit design is computer_architecture; energy-efficient communication is computer_networks.'6474 openalex_topics:6475 - id: T140986476 weight: 1.06477 note: 'energy efficiency in computing: data centre energy, server power'6478 - id: T122386479 weight: 1.06480 note: 'green IT and sustainability: green computing, green AI'6481 - id: T100806482 weight: 0.36483 note: energy-efficient wireless sensor networks6484 - id: T103636485 weight: 0.36486 note: low-power VLSI design6487 - id: T113926488 weight: 0.36489 note: energy harvesting in wireless networks6490 - id: T101016491 weight: 0.26492 note: cloud computing (data centres)6493 - id: T119546494 weight: 0.26495 note: energy efficiency and management6496 - id: T104356497 weight: 0.26498 note: environmental impact and sustainability6499 - id: T105026500 weight: 0.16501 note: energy-efficient neuromorphic computing6502 - id: T109336503 weight: 0.16504 note: real-time scheduling (energy-aware)6505 - id: T142966506 weight: 0.16507 note: climate change and sustainable development6508 openalex_subfields: []6509 arxiv_categories:6510 - id: cs.CY6511 weight: 0.26512 - id: cs.DC6513 weight: 0.26514 - id: cs.AR6515 weight: 0.26516 - id: cs.NI6517 weight: 0.16518 - id: cs.PF6519 weight: 0.16520 - id: cs.ET6521 weight: 0.16522 dblp_streams:6523 - key: journals/suscom6524 weight: 1.06525 - key: journals/tsusc6526 weight: 1.06527 - key: journals/tgcn6528 weight: 0.86529 - key: conf/islped6530 weight: 0.56531 - key: conf/ithings6532 weight: 0.36533 - key: journals/tcc6534 weight: 0.26535 - key: journals/tetc6536 weight: 0.26537 - key: journals/fgcs6538 weight: 0.16539 - key: journals/jsa6540 weight: 0.16541 - key: journals/tpds6542 weight: 0.16543 - key: conf/ccgrid6544 weight: 0.16545 - key: journals/cluster6546 weight: 0.16547 - key: journals/tjs6548 weight: 0.16549 - key: journals/ais6550 weight: 0.16551 - key: conf/fat6552 weight: 0.16553 - key: journals/aiethics6554 weight: 0.16555 - key: journals/tecs6556 weight: 0.16557 - key: journals/computer6558 weight: 0.16559 - key: journals/cacm6560 weight: 0.16561 - key: journals/cm6562 weight: 0.16563 - key: journals/network6564 weight: 0.16565 - key: conf/sc6566 weight: 0.16567 - key: journals/tnsm6568 weight: 0.16569 - key: journals/tsg6570 weight: 0.16571 - key: journals/patterns6572 weight: 0.16573 - key: journals/natmi6574 weight: 0.056575 - key: journals/ncs6576 weight: 0.16577 - key: journals/jocs6578 weight: 0.16579 keywords:6580 - pattern: (?i)\b(sustainable|green|carbon-?aware|carbon-?efficient|carbon-?neutral|carbon-?free|energy-?aware|energy-?efficient|energy-?proportional|low-?carbon|net-?zero|zero-?carbon|climate-?aware|eco-?friendly|environmentally[- ]friendly|frugal|lean) (computing|AI|artificial intelligence|machine learning|deep learning|software( engineering| development| design)?|data ?cent(er|re)s?|cloud|HPC|supercomput\w+|networking|networks?|ICT|IT\b|information technology|communications?|blockchain|mining|LLMs?|language models?|NLP|systems?|hardware|architectures?|scheduling|inference|training|computation|algorithms?|coding|programming|edge|IoT|5G|6G|wireless|datacent(er|re)s?|clusters?|servers?|GPUs?|chips?|processors?|storage|databases?|web|internet|digital)\b6581 weight: 1.06582 field: both6583 - pattern: (?i)\b(carbon (footprints?|emissions?|intensity|accounting|offsets?|costs?|impact|budgets?|aware(ness)?|efficiency|tax(es)? on|neutrality of|credits? for|dioxide emissions? (of|from) (computing|AI|data))|CO2(e|-?eq|-?equivalent)? (emissions?|footprint)|greenhouse gas(es)? (emissions?)? (of|from|and) (computing|AI|data ?cent|ICT|software|training|cloud|blockchain|digital)|embodied (carbon|emissions?|energy|footprint)|operational (carbon|emissions?)|life-?cycle (assessment|analysis|emissions?|carbon) (of|for) (computing|hardware|AI|data ?cent|servers?|smartphones?|ICT|devices?|software|electronics)|LCA of (ICT|hardware|data|AI|computing|electronics)|environmental (impact|footprint|costs?|sustainability|burden|implications?) of (computing|AI|artificial intelligence|machine learning|deep learning|LLMs?|language models?|data ?cent(er|re)s?|training|inference|software|blockchain|cryptocurrenc|Bitcoin|ICT|the internet|digital (technolog|infrastructure|services)|cloud|HPC|GPUs?|neural)|e-?waste|electronic6584 waste|WEEE|rebound effects? (of|in) (ICT|digital|computing|AI)|Jevons|sustainability of (AI|computing|ML|machine learning|software|data ?cent(er|re)s?|HPC|blockchain|digital)|Green500|Top500 (energy|power)|energy (consumption|usage|efficiency|footprint|costs?|demand|requirements?|profiling|measurement|modeling|budget|savings?) (of|for|in|during) (AI|training|inference|LLMs?|large language|deep learning|neural networks?|machine learning|data ?cent(er|re)s?|computing|software|blockchain|Bitcoin|mining|cryptocurrenc|HPC|supercomput|GPUs?|servers?|cloud|mobile apps?|smartphones?|web|video streaming|the internet|ICT|digital|edge|IoT devices?|federated|transformers?|generative)|power (consumption|usage|draw|cap(ping)?|budgets?|management|efficiency|demand) (of|for|in|at) (data ?cent(er|re)s?|GPUs?|servers?|training|inference|HPC|AI|supercomput|clusters?|cloud)|PUE\b|power usage effectiveness|WUE\b|water usage effectiveness|CUE\b|data ?cent(er|re)s? (energy|power|cooling|efficiency|sustainability|water|carbon|emissions|heat6585 reuse|waste heat|renewable|siting|demand response|load shifting|electricity)|cooling (of|for|in) data ?cent|liquid cooling (of|for) (servers|GPUs|data)|immersion cooling|free cooling|waste heat (recovery|reuse) (from|of) data|water (footprint|consumption|usage|use) of (AI|data ?cent|computing|LLMs?|training)|renewable(-?powered| energy (for|in|powered) (data ?cent|computing|cloud|HPC|AI|training|blockchain))|solar-?powered (data|computing|servers?|edge|IoT)|demand response (for|in|and) data ?cent|carbon-?aware (scheduling|computing|workload|training|shifting|load)|temporal (load|workload) shifting for carbon|spatial (load|workload) shifting for carbon|carbon-?intensity (signals?|aware|forecast)|grid carbon|marginal emissions? (factor|rate)|energy harvesting (for|in|powered) (IoT|sensors?|computing|devices?|wearables?)|battery-?free (devices?|computing|sensing|IoT)|batteryless|intermittent computing|energy-?harvesting devices?|ambient (RF|energy) harvesting for|green (software|coding|programming|IT|ICT|networking|cloud|AI|ML|NLP|data6586 ?cent(er|re)s?|HPC|computing|blockchain|mining|5G|6G|edge|IoT|DevOps|software engineering|web|design patterns|metrics|certification|procurement) (practices|metrics|patterns|principles|engineering|movement|initiatives?|standards?|foundation)?|Green Software Foundation|software carbon intensity|SCI\b|CodeCarbon|carbontracker|ML CO2 impact|experiment-?impact-?tracker|energy (labels?|efficiency ratings?) for (software|AI|apps?|models?)|FLOPs? (as|vs\.?|versus) (energy|carbon)|energy (per|per-?)(inference|token|query|FLOP|operation|bit|training run)|joules? per (inference|token|query|operation|bit)|energy-?delay product|EDP\b|performance-?per-?watt|perf/W|FLOPS/W|TOPS/W|GFLOPS/W|GOPS/W|energy-?efficient (scheduling|resource management|virtual machine|VM|consolidation|server|routing|protocols?|MAC|caching|offloading|inference|training|accelerators?|architectures?|processors?|memory|storage|algorithms?|software|coding|code|programming|data processing|query processing|databases?|deep learning|neural|AI|machine6587 learning|LLMs?|computing|HPC|supercomput|data ?cent|cloud|edge|IoT|wireless|networks?|communications?|5G|6G|blockchain|consensus|mining|web|mobile|smartphones?|embedded|FPGA|GPU|hardware|chips?|design))\b6588 weight: 1.06589 field: both6590 - pattern: (?i)\b(energy[- ]efficien(t|cy)|low[- ]power|power[- ]efficient|energy (consumption|saving|savings|optimi[sz]ation|reduction|management|harvesting|usage|cost|budget|constraints?|profile|model|footprint)|DVFS|dynamic voltage and frequency|power (management|capping|gating|budgets?|consumption|efficiency|usage)|thermal (management|efficiency)|cooling|heat dissipation|battery (life|lifetime|drain|consumption)|renewable energy|solar|wind power|smart grid|demand response|electricity (consumption|costs?|prices?|usage))\b6591 weight: 0.56592 field: both6593 - pattern: (?i)\b(sustainab(le|ility)|green|carbon|climate|environmental|emissions?|footprint|ecolog\w+|circular economy|e-?waste|recycl\w+|obsolescence|right to repair|digital sobriety|frugal)\b6594 weight: 0.36595 field: both6596 exclusions:6597 - (?is)^(?!.*(computing|comput\w+|data ?cent(er|re)|software|AI\b|artificial intelligence|machine learning|deep learning|neural network|LLMs?|language models?|cloud|HPC|GPUs?|servers?|processors?|chips?|hardware|algorithms?|networking|ICT|blockchain|internet|digital|IoT|wireless|smartphones?|electronics|semiconductor|IT\b|information technology|training|inference|code|programming)).*\b(green|sustainable|carbon|energy|climate|environmental)\b6598 related:6599 - cloud_computing6600 - computer_architecture6601 - ai_accelerators6602 - edge_computing6603 - distributed_computing6604 - computer_networks6605 - ai_safety6606 parent_of: []6607 child_of: []6608 provenance: T14098 (CS 1708, 7k works) and T12238 (Engineering 2208, 27k works) are the only topics centred on the footprint of computing; energy-efficient WSN/VLSI/harvesting topics shared at 0.3. SUSCOM, T-SUSC and T-GCN are the dedicated streams; generic 'energy-efficient' terms are 0.5 and 'green/sustainable' 0.3, with a veto when no computing term appears anywhere in the text.6609- id: autonomous_scientific_discovery6610 number: 406611 name: Autonomous Scientific Discovery6612 area: computational_science6613 definition: 'AI and automation systems that perform or substantially drive the scientific process: AI scientist and research-agent systems, automated hypothesis generation and literature synthesis, self-driving laboratories and closed-loop experimentation, AI-driven discovery of materials, molecules, equations, algorithms or theorems, autonomous experimental design, benchmarks for research agents, and the epistemology and evaluation of machine-generated science. Using ML inside a scientific pipeline without autonomy is scientific_computing or computational_biology; LLM agents in general are ai_agents.'6614 openalex_topics:6615 - id: T119486616 weight: 0.66617 note: 'machine learning in materials science: materials discovery, high-throughput experimentation, materials informatics'6618 - id: T102116619 weight: 0.36620 note: computational drug discovery6621 - id: T119866622 weight: 0.36623 note: scientific computing and data management (workflows)6624 - id: T139046625 weight: 0.36626 note: artificial intelligence applications (AI in science)6627 - id: T119376628 weight: 0.36629 note: research data management6630 - id: T119756631 weight: 0.26632 note: evolutionary algorithms (symbolic regression)6633 - id: T112066634 weight: 0.26635 note: model reduction and neural networks (equation discovery)6636 - id: T109066637 weight: 0.16638 note: AI planning (experiment planning)6639 - id: T131266640 weight: 0.16641 note: scientific research and discoveries6642 - id: T107786643 weight: 0.16644 note: philosophy and history of science6645 - id: T141006646 weight: 0.16647 note: scientific research and technology6648 - id: T139766649 weight: 0.16650 note: web visibility and informetrics (science of science)6651 openalex_subfields: []6652 arxiv_categories:6653 - id: cs.AI6654 weight: 0.26655 - id: cs.LG6656 weight: 0.16657 - id: cs.DL6658 weight: 0.26659 - id: physics.comp-ph6660 weight: 0.26661 - id: q-bio.QM6662 weight: 0.16663 - id: cs.CE6664 weight: 0.26665 - id: cs.MA6666 weight: 0.16667 - id: cs.CY6668 weight: 0.16669 dblp_streams:6670 - key: journals/mlst6671 weight: 0.76672 - key: journals/ncs6673 weight: 0.66674 - key: journals/natmi6675 weight: 0.56676 - key: journals/patterns6677 weight: 0.46678 - key: journals/jcheminf6679 weight: 0.36680 - key: journals/jcisd6681 weight: 0.26682 - key: journals/scientometrics6683 weight: 0.26684 - key: conf/jcdl6685 weight: 0.26686 - key: journals/aisy6687 weight: 0.26688 - key: journals/dai6689 weight: 0.26690 - key: journals/frai6691 weight: 0.26692 - key: journals/jossw6693 weight: 0.26694 - key: conf/xsede6695 weight: 0.26696 - key: journals/jasis6697 weight: 0.16698 - key: journals/softx6699 weight: 0.16700 - key: journals/tai6701 weight: 0.16702 - key: journals/ais6703 weight: 0.16704 - key: journals/cphysics6705 weight: 0.16706 - key: journals/sncs6707 weight: 0.16708 - key: journals/ijdsa6709 weight: 0.16710 - key: journals/bdcc6711 weight: 0.16712 - key: conf/aaai6713 weight: 0.056714 - key: conf/nips6715 weight: 0.056716 - key: conf/iclr6717 weight: 0.056718 - key: conf/icml6719 weight: 0.056720 - key: journals/synthese6721 weight: 0.16722 keywords:6723 - pattern: (?i)\b(autonomous|automated|automating|automation of|AI-?driven|AI-?assisted|AI-?enabled|AI-?powered|AI-?based|AI-?generated|AI-?augmented|LLM-?driven|LLM-?based|LLM-?powered|LLM-?assisted|LLM-?generated|agent-?based|agent-?driven|agentic|closed-?loop|self-?driving|robotic|machine-?learning-?driven|ML-?driven|ML-?guided|machine-?guided|data-?driven|algorithmic|computational|end-?to-?end|fully automated|human-?AI) (scientific (discovery|research|experimentation|experiments?|method|process|inquiry|workflows?|reasoning|hypothes\w+|writing|peer review|literature|ideation|insight|knowledge discovery|laborator\w+)|science|discovery (of|in) (materials|molecules|catalysts|drugs|laws|equations|physical laws|governing equations|new (physics|chemistry|mathematics)|proteins|alloys|polymers|reactions|synthesis routes|theorems|algorithms|conjectures)|materials discovery|molecular discovery|drug discovery pipeline|hypothesis (generation|testing|discovery|formulation|ranking)|literature (review|synthesis|mining|survey|search)6724 (at scale|generation|automation)?|theorem (proving|discovery)|conjecture (generation|discovery)|mathematical discovery|experimental (design|planning|campaigns?|loops?)|experiment (design|planning|selection|execution)|research (assistants?|agents?|pipelines?|workflows?|automation|ideas?|ideation|proposals?|questions?)|peer review(ers?)?|paper (writing|generation|reviewing|review)|manuscript (generation|writing)|idea generation|laborator(y|ies)|labs?|chemist|synthesis planning|retrosynthesis|reaction (optimi[sz]ation|discovery)|materials (acceleration|synthesis|design|exploration)|knowledge discovery|scientific knowledge (graph|extraction|synthesis))\b6725 weight: 1.06726 field: both6727 - pattern: (?i)\b(self-?driving lab(s|oratory|oratories)?|SDLs?\b|autonomous (laborator\w+|experiment\w*|research|discovery|exploration of (chemical|materials)|materials (platform|synthesis|research)|synthesis|chemistry|science|scientist|agents? for (science|research|discovery)|workflows? for (science|discovery))|AI scientist|AI co-?scientist|AI (for|in|4) ?science|AI4Science|AI-?enabled science|ML for science|machine learning for (scientific discovery|science)|scientific (machine learning agents?|foundation models?|LLMs?|agents?|discovery (with|using|via|through|by) (AI|machine learning|LLMs?|agents?|deep learning|neural|automated|autonomous)|language models?|reasoning (with|in) LLMs?|data (agents?|discovery agents?))|LLMs? (for|in|and|as) (science|chemistry|biology|materials|physics|mathematics|research|scientific|discovery|experiment)|language models? (for|in|as) (science|chemistry|biology|materials|scientific|scientists?|discovery|experiment)|ChemCrow|Coscientist|FunSearch|AlphaEvolve|AlphaTensor|AlphaProof|AlphaGeometry|AlphaDev|AlphaFold6728 (3|database)|GNoME|Eureka\b|AI Feynman|SINDy|PySR|symbolic regression|equation (discovery|learning|identification)|discover(y|ing|ed) (of )?(governing|physical|scientific|conservation|dynamical) (equations|laws|principles)|law discovery|automated (hypothesis|theory|experiment\w*|discovery|literature|materials|reaction|retrosynthesis|synthesis planning|lab(oratory)?|science|scientific|reasoning for (mathematics|discovery)|conjecturing|proof discovery|data analysis|statistician|machine learning|data science|modeling|model discovery|design of experiments|feature discovery)|high-?throughput (experimentation|screening|computation|virtual screening|materials|synthesis|DFT|simulations?|discovery)|Bayesian optimi[sz]ation (for|of|in|guided) (materials|experiments?|chemistry|synthesis|reactions?|discovery|molecules|design|process)|active learning (for|in|guided) (materials|chemistry|experiments?|molecular|drug|science|discovery|synthesis|catalysts?)|inverse design|generative (models?|design|AI)6729 for (molecules|materials|proteins|catalysts|crystals|drugs|chemistry|discovery)|materials (informatics|genome|acceleration platforms?|project)|cloud lab(s|oratory|oratories)?|lab(oratory)? automation|robotic (chemist\w*|chemistry|synthesis|laborator\w+|experiment\w*|platforms? for (science|chemistry|biology|materials))|mobile robotic chemist|Emerald Cloud Lab|Strateos|AutoML for science|scientific (claim|fact) (verification|checking|extraction)|literature-?based discovery|LBD\b|hypothesis (generation|generators?|machines?)|research (ideation|idea generation)|AI-?generated (research|papers?|hypotheses|reviews?|science)|machine (scientists?|discovery)|robot scientists?|Adam and Eve|Eve robot|discovery (engines?|pipelines?|platforms?|systems?|loops?) (for|of|in) (materials|science|chemistry|drugs?|molecules|biology)|automated (theorem proving|reasoning) (for|in) (mathematics|discover)|AI (for|in) (mathematics|theorem|math research)|LLM (agents?|systems?|pipelines?|frameworks?) for (science|research|discovery|chemistry|biology|materials|experiment|data6730 analysis|literature)|agents? for (scientific|science|research|discovery|chemistry|biology|materials|experiment|lab)|science (of science|agents?|automation|LLMs?|benchmarks?)|SciAgents|ChemAgents|BioPlanner|AI (Scientist|Researcher|Co-?Scientist)|Sakana|Virtual Lab|AI Virtual Cell|AI (lab|laboratory)|closed-?loop (optimi[sz]ation|experiment\w*|discovery|synthesis|materials|learning for))\b6731 weight: 1.06732 field: both6733 - pattern: (?i)\b(benchmarks? for (scientific|AI scientist|research agents?|discovery|science|AI4Science|lab)|ScienceAgentBench|MLAgentBench|MLE-?bench|DiscoveryBench|SciCode|LAB-?Bench|ChemBench|MatSciBench|PaperBench|SciBench|ResearchBench|CORE-?Bench|AAAR|BixBench|SciReplicate|ReplicationBench|SWE-?bench for science|TheoremQA|TPBench|AlgoTune|evaluating (AI|LLM|machine)-?generated (research|papers?|hypotheses|science))\b6734 weight: 1.06735 field: both6736 - pattern: (?i)\b(scientific|science|discovery|experiment(s|al|ation)?|laborator(y|ies)|research|hypothes[ie]s|materials|molecules|chemistry|theorems?|conjectures?)\b6737 weight: 0.36738 field: both6739 exclusions:6740 - (?is)^(?!.*(AI\b|artificial intelligence|machine learning|deep learning|neural|LLMs?|language models?|agents?|autonomous|automated|automation|robot|Bayesian optimi[sz]ation|active learning|symbolic regression|algorithm|computational|closed-?loop|high-?throughput|self-?driving)).*6741 related:6742 - ai_agents6743 - llm6744 - scientific_computing6745 - computational_biology6746 - formal_verification6747 - algorithms6748 - information_retrieval6749 - ai_safety6750 parent_of: []6751 child_of: []6752 provenance: No OpenAlex topic or DBLP stream isolates autonomous discovery; T11948 (materials discovery, high-throughput experimentation) is the closest host and MLST/Nat. Comput. Sci./Nat. Mach. Intell. the closest venues. Keyword patterns on '<automation term> <science term>', named systems (Coscientist, FunSearch, AlphaEvolve, AI Scientist...) and research-agent benchmarks carry the category; a veto removes texts with no AI/automation term at all.6753assignment_rule:6754 score: sum of weights of matched signals, each signal type capped at 1.0, then sum over signal types6755 signal_types:6756 - openalex_topics6757 - openalex_subfields6758 - arxiv_categories6759 - dblp_streams6760 - keywords6761 threshold: 1.06762 primary: argmax of score; ties broken by the more specific category (child before parent), then by lower number6763 exclusions: if any exclusion regex matches the concatenated title+abstract, the category is vetoed for that work6764 keyword_field: title patterns are matched on the title only; abstract on the abstract only; both on title+abstract6765 notes: 'OpenAlex topic weights assume the work''s primary topic (or any of its up-to-three topics; the classifier takes the max over matched topics before capping). Weights below 1.0 are deliberate: such signals must be corroborated by another signal type to reach the threshold.'6766