work_id,doi,arxiv_id,title,source_name,year,type,primary_category,n_categories,c12,c36,ncs36,cited_by_count,fwci,has_abstract,is_oa,period,score,set,pi_review 2187800381,10.48456/tr-579,,Practical lock-freedom,OpenGrey (Institut de l'Information Scientifique et Technique),2021,dissertation,computer_architecture,5,281.0,286.0,994.2153284671533,458,,True,True,baseline,994.2153284671533,landmark,True 3099878876,,,Array programming with NumPy,RePEc: Research Papers in Economics,2020,article,computer_architecture,4,2343.0,5512.0,689.4179496808111,17096,889.1394,True,True,baseline,689.4179496808111,landmark,True 4287393709,10.4230/lipics.ecrts.2026.17,,Uncertainty-Aware Resource Allocation for Multi-Path Programs with In-Kernel Predictions,DROPS (Schloss Dagstuhl – Leibniz Center for Informatics),2026,article,computer_architecture,3,71.0,71.0,330.9365269461078,71,0.0,True,True,post,252.42066113200724,landmark,True 3046751266,10.1063/5.0014475,,Scalable molecular dynamics on CPU and GPU architectures with NAMD,The Journal of Chemical Physics,2020,article,computer_architecture,7,356.0,869.0,214.60681995758455,3144,304.3728,True,True,baseline,214.60681995758455,landmark,True 4394998532,10.1145/3620665.3640366,,PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation,ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS),2024,conference-paper,computer_architecture,6,434.0,690.0,204.38576349024112,690,218.9123,True,False,post,204.38576349024112,landmark,True 4297813615,10.4230/lipics.ecrts.2024.13,,DeepTrust^RT: Confidential Deep Neural Inference Meets Real-Time!,DROPS (Schloss Dagstuhl – Leibniz Center for Informatics),2024,article,computer_architecture,5,674.0,707.0,157.60297582979868,708,51.0217,True,True,post,157.60297582979868,landmark,True 3111721177,10.1007/978-981-16-7487-7_7,,A Modern Primer on Processing in Memory,Computer architecture and design methodologies,2022,book-chapter,computer_architecture,2,90.0,125.0,139.4308943089431,168,112.4027,False,False,baseline,139.4308943089431,landmark,True 2273211146,10.17615/nyex-d314,,The multiprocessor real-time scheduling of general task systems,Carolina Digital Repository (University of North Carolina at Chapel Hill),2019,dissertation,computer_architecture,4,19.0,20.0,137.14285714285714,37,,True,True,baseline,137.14285714285714,landmark,True 4406650295,10.1145/3714983.3714987,,AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration,GetMobile Mobile Computing and Communications,2025,article,computer_architecture,9,234.0,234.0,76.51490775873349,234,83.4275,True,False,post,118.46457204078958,landmark,True 4286840061,10.7302/4622,,Algorithm-Architecture Co-Design for Domain-Specific Accelerators in Communication and Artificial Intelligence,Deep Blue (University of Michigan),2022,dissertation,computer_architecture,5,3.0,14.0,105.75490196078431,14,,True,True,baseline,105.75490196078431,landmark,True 3016932526,10.1063/5.0005082,,Q uantum ESPRESSO toward the exascale,The Journal of Chemical Physics,2020,article,computer_architecture,4,175.0,425.0,104.9573055028463,2032,159.393,True,True,baseline,104.9573055028463,landmark,True 4401211704,10.1109/isca59077.2024.00019,,Splitwise: Efficient Generative LLM Inference Using Phase Splitting,ACM/IEEE International Symposium on Computer Architecture (ISCA),2024,conference-paper,computer_architecture,6,125.0,292.0,86.49368541905856,286,90.7376,True,False,post,86.49368541905856,landmark,True 5673758,10.7275/4018988,,A Novel Reconfiguration Scheme in Quantum-Dot Cellular Automata for Energy Efficient Nanocomputing,ScholarWorks@UMassAmherst (University of Massachusetts Amherst),2023,dissertation,computer_architecture,4,4.0,4.0,86.3030303030303,4,,True,True,post,86.3030303030303,landmark,True 6922095860,10.1184/r1/14642340,,Practical Mechanisms for Reducing Processor–Memory Data Movement in Modern Workloads,Figshare,2021,dissertation,computer_architecture,9,9.0,11.0,81.43283582089553,11,,True,True,baseline,81.43283582089553,landmark,True 7135078329,10.1109/tvlsi.2026.3670888,,Highly Reliable RRAM-Based Physical Unclonable Function With Auto-Write Technique,IEEE Transactions on Very Large Scale Integration (VLSI) Systems,2026,article,computer_architecture,5,22.0,22.0,102.5437125748503,22,154.5718,True,False,post,78.21485274512901,landmark,True 4386978266,10.7302/8543,,Accelerated Systems for Portable DNA Sequencing,Deep Blue (University of Michigan),2023,dissertation,computer_architecture,5,11.0,11.0,75.89999999999999,11,,True,True,post,75.89999999999999,landmark,True 4393145114,10.1109/mm.2024.3373763,2403.14123,AI and Memory Wall,IEEE Micro,2024,article,computer_architecture,8,201.0,336.0,74.90042415673601,336,105.8227,True,True,post,74.90042415673601,landmark,True 1224547023,10.1201/9781315218823-12,,Model-Based Framework for Schedulability Analysis Using Uppaal 4.1,CRC Press eBooks,2018,book-chapter,computer_architecture,3,51.0,52.0,74.46337817638266,70,17.8443,True,True,baseline,74.46337817638266,landmark,True 2972087877,10.1145/3320060,,Demystifying Parallel and Distributed Deep Learning,ACM Computing Surveys,2019,article,computer_architecture,6,159.0,263.0,74.14530533429881,577,81.2716,True,False,baseline,74.14530533429881,landmark,True 2952332632,10.4230/oasics.asd.2020.1,,Towards a Reliable and Context-Based System Architecture for Autonomous Vehicles,OASIcs : OpenAccess Series in Informatics,2020,conference-paper,computer_architecture,3,395.0,516.0,73.13244814646819,797,52.3105,True,True,baseline,73.13244814646819,landmark,True 4410153295,10.1109/tcad.2025.3567878,,Bursting Firings in Memristive Hopfield Neural Network With Image Encryption and Hardware Implementation,IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems,2025,article,computer_architecture,4,142.0,142.0,32.564312668463614,142,32.3565,True,False,post,71.88875739227402,landmark,True 2921153466,10.48550/arxiv.1903.05714,1903.05714,Basic Performance Measurements of the Intel Optane DC Persistent Memory Module,arXiv (Cornell University),2019,preprint,computer_architecture,6,108.0,175.0,71.88172043010752,191,,True,True,baseline,71.88172043010752,landmark,True 3014555390,10.4230/lipics.ecrts.2026.13,,CacheFlow: Using Maximum Flow to Bound Cache-Based Preemption Delays,Leibniz international proceedings in informatics,2026,conference-paper,computer_architecture,2,19.0,19.0,147.2590476190476,19,17.7143,True,True,post,67.54919100715686,landmark,True 4409568286,10.1145/3729215,2306.15552,A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms,ACM Computing Surveys,2025,article,computer_architecture,7,133.0,133.0,76.14302694136292,133,81.5626,True,True,post,67.3324276983975,landmark,True 4403931219,10.17487/rfc9669,,BPF Instruction Set Architecture (ISA),,2024,report,computer_architecture,4,4.0,9.0,66.0,9,,False,False,post,66.0,landmark,True 2156094048,10.1145/3501714.3501727,,Reverend Bayes on Inference Engines: A Distributed Hierarchical Approach,ACM eBooks,2022,book-chapter,ai_accelerators,2,495.0,513.0,274.919235405545,727,46.4544,True,False,baseline,274.919235405545,landmark,True 7130682590,10.1016/j.vlsi.2026.102688,,Extreme multistability in discrete memristive neuron maps and implications for dual-field applications,Integration,2026,article,ai_accelerators,2,37.0,37.0,38.12608695652174,37,127.1161,False,False,post,131.54316143498968,landmark,True 3003967059,10.1038/s41586-020-03070-1,2002.00281,Parallel convolutional processing using an integrated photonic tensor core,Nature,2021,article,ai_accelerators,2,503.0,830.0,96.73020860110631,1874,105.2419,False,True,baseline,96.73020860110631,landmark,True 7131231908,10.1109/tcyb.2026.3664460,,Reconfigurable Multiscroll Memristive Neural Network With Application to Telemedicine Privacy Protection,IEEE Transactions on Cybernetics,2026,article,ai_accelerators,5,25.0,25.0,67.00916730328495,25,77.9076,True,False,post,88.88051448310114,landmark,True 7134974875,10.1109/icears67481.2026.11416637,,Neuromorphic Photonic Computing using Microring Resonator Arrays for Real-Time Edge AI Processing,International Conference on Electronics and Renewable Systems (ICEARS),2026,conference-paper,ai_accelerators,3,24.0,24.0,184.20139553974553,24,221.8777,False,False,post,85.3252939037771,landmark,True 7135102590,10.1109/tii.2026.3668794,,Biologically Plausible Memristive Decision-Making Circuit for Adaptive Control in Industrial Autonomous Navigation,IEEE Transactions on Industrial Informatics,2026,article,ai_accelerators,2,24.0,24.0,35.86027014438752,24,41.1527,True,False,post,85.3252939037771,landmark,True 4409283612,10.1038/s41586-025-08854-x,,Universal photonic artificial intelligence acceleration,Nature,2025,article,ai_accelerators,1,165.0,165.0,56.20713647719771,165,68.6604,False,False,post,83.53271105440291,landmark,True 7128511721,10.1109/tce.2026.3663359,,A Memristor-Based Neural Network Circuit With Classical Conditioning and Fear Generalization,IEEE Transactions on Consumer Electronics,2026,article,ai_accelerators,3,23.0,23.0,34.366092221704704,23,39.438,True,False,post,81.77007332445305,landmark,True 2783525259,10.1109/mm.2018.112130359,,Loihi: A Neuromorphic Manycore Processor with On-Chip Learning,IEEE Micro,2018,article,ai_accelerators,4,327.0,745.0,64.97395387432005,3897,115.1562,True,False,baseline,64.97395387432005,landmark,True 2944119451,10.1038/s41586-019-1157-8,2102.09360,All-optical spiking neurosynaptic networks with self-learning capabilities,Nature,2019,article,ai_accelerators,3,162.0,384.0,58.38929375910958,1529,75.8628,False,True,baseline,58.38929375910958,landmark,True 7141052859,10.1016/j.vlsi.2026.102731,,A dual-neuron second-order memristor-based Hopfield neural network with controllable extreme multistability and its application in image encryption,Integration,2026,article,ai_accelerators,4,15.0,15.0,40.20550038197097,15,46.7446,False,False,post,53.328308689860684,landmark,True 7149961640,10.1016/j.neunet.2026.108953,,A discrete memristive cyclic Hopfield neural network with multi-cavity-like attractors and application in secure communication,Neural Networks,2026,article,ai_accelerators,3,14.0,14.0,14.426086956521738,14,48.098,False,False,post,49.77308811053664,landmark,True 7140216027,10.1016/j.neunet.2026.108887,,Discrete bidirectional memristive neural network-based hyperchaotic system and its FPGA implementation,Neural Networks,2026,article,ai_accelerators,3,13.0,13.0,13.395652173913042,13,44.6624,False,False,post,46.2178675312126,landmark,True 7130433466,10.1109/tcsi.2026.3663432,,A Second-Order Memristor Method to Construct Memristive Neural Networks With Multi-Butterfly and Multi-Scroll Dynamics,IEEE Transactions on Circuits and Systems I Regular Papers,2026,article,ai_accelerators,4,12.0,12.0,17.93013507219376,12,20.5764,True,False,post,42.66264695188855,landmark,True 7130516837,10.1142/s0218127426500914,,Gaussian-Function-Driven Chaotic Memristive Dynamics with Application to Image Encryption,International Journal of Bifurcation and Chaos,2026,article,ai_accelerators,3,12.0,12.0,32.16440030557678,12,37.3956,True,False,post,42.66264695188855,landmark,True 4210357113,10.1038/s43588-021-00184-y,,Opportunities for neuromorphic computing algorithms and applications,Nature Computational Science,2022,article,ai_accelerators,2,224.0,537.0,42.17948197363679,1107,60.0929,False,True,baseline,42.17948197363679,landmark,True 4417057079,10.1038/s41467-026-68452-x,,Single-shot matrix-matrix photonic processor based on spatial-spectral hypermultiplexed parallel diffraction,Nature Communications,2026,article,ai_accelerators,8,11.0,11.0,12.24081685075777,11,39.7388,True,True,post,39.107426372564504,landmark,True 4409363528,10.1186/s43593-025-00085-x,,Intelligent nanophotonics: when machine learning sheds light,eLight,2025,article,ai_accelerators,5,77.0,77.0,26.229997022692263,77,32.0415,True,True,post,38.981931825388024,landmark,True 4394727812,10.1126/science.adl1203,,Large-scale photonic chiplet Taichi empowers 160-TOPS/W artificial general intelligence,Science,2024,article,ai_accelerators,4,198.0,308.0,38.256050750798984,308,45.8367,True,False,post,38.256050750798984,landmark,True 4414574650,10.1016/j.chaos.2025.117292,,Field and delay effects on synchronization in a multilayer memristive neuronal network with a hub,Chaos Solitons & Fractals,2025,article,ai_accelerators,1,71.0,71.0,27.006304798493694,71,31.2974,False,False,post,35.94437869613701,landmark,True 7129076810,10.1109/jiot.2026.3665333,,Dual Memristor-Coupled Unidirectional Ring Neural Network: Abundant Hidden Firings and Application in Hardware Image Encryption,IEEE Internet of Things Journal,2026,article,ai_accelerators,7,10.0,10.0,14.941779226828132,10,17.147,True,False,post,35.552205793240454,landmark,True 7128293306,10.1038/s41467-026-69084-x,,Neuromorphic photonic computing with an electro-optic analog memory,Nature Communications,2026,article,ai_accelerators,3,10.0,10.0,11.1280153188707,9,32.5136,True,True,post,35.552205793240454,landmark,True 4413052649,10.1016/j.vlsi.2025.102500,,An attractor-controllable memristive Hopfield neural network and its application on voice encryption,Integration,2025,article,ai_accelerators,4,66.0,66.0,14.175875486381322,66,28.5628,False,False,post,33.41308442176116,landmark,True 4402694963,10.1038/s41377-024-01590-3,,Optical neural networks: progress and challenges,Light Science & Applications,2024,article,ai_accelerators,4,135.0,263.0,32.666692686558875,263,39.1398,True,True,post,32.666692686558875,landmark,True 7127097285,10.1364/optica.578687,,Nonlinear photonic neuromorphic chips for spiking reinforcement learning,Optica,2026,article,ai_accelerators,7,9.0,9.0,10.015213786983631,9,32.5136,True,True,post,31.99698521391641,landmark,True 2916516729,10.5555/3323298.3323317,,SLM-DB: Single-Level Key-Value Store with Persistent Memory,Scholarworks@UNIST (Ulsan National Institute of Science and Technology),2019,dissertation,operating_systems,7,19.0,42.0,328.8494623655914,75,,True,True,baseline,328.8494623655914,landmark,True 4295093682,10.5281/zenodo.19901496,,fast16 as a Second-Order Subversion Attack,,2026,preprint,operating_systems,4,28.0,28.0,1089.5438596491229,28,,True,True,post,99.54617622107328,landmark,True 7130515337,10.1186/s12912-026-04420-6,,Artificial intelligence literacy and academic resilience in undergraduate nursing students: the mediating role of self-efficacy and artificial intelligence anxiety,BMC Nursing,2026,article,operating_systems,1,13.0,13.0,92.3590525632706,13,118.9868,True,True,post,46.2178675312126,landmark,True 25727798,10.48550/arxiv.1903.01955,1903.01955,The Lustre Storage Architecture,arXiv (Cornell University),2019,preprint,operating_systems,3,96.0,112.0,46.00430107526881,206,,True,True,baseline,46.00430107526881,landmark,True 2930508541,10.4230/oasics.microservices.2020-2022.5,1902.03383,Cloud Programming Simplified: A Berkeley View on Serverless Computing,arXiv (Cornell University),2019,preprint,operating_systems,6,103.0,195.0,43.97867397390838,409,,True,True,baseline,43.97867397390838,landmark,True 4404401018,10.1145/3694715.3695964,2312.12456,PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU,ACM SIGOPS Symposium on Operating Systems Principles (SOSP),2024,conference-paper,operating_systems,10,64.0,133.0,39.39609644087256,133,42.1961,True,True,post,39.39609644087256,landmark,True 3182301081,,,Zico: Efficient {GPU} Memory Sharing for Concurrent {DNN} Training,Scholarworks@UNIST (Ulsan National Institute of Science and Technology),2021,dissertation,operating_systems,5,0.0,5.0,37.01492537313433,8,,True,False,baseline,37.01492537313433,landmark,True 7162190207,10.1016/j.dss.2026.114696,,"AI-driven mental health therapy: A comparative study of emotional clarity and stigma reduction across journaling, human-guided therapy, and AI-guided therapy",Decision Support Systems,2026,article,operating_systems,1,10.0,10.0,5.225225225225225,10,63.1822,False,False,post,35.552205793240454,landmark,True 2975712713,10.1145/3341301.3359642,,A generic communication scheduler for distributed DNN training acceleration,,2019,conference-paper,operating_systems,8,53.0,119.0,31.997431506849313,321,32.6252,True,False,baseline,31.997431506849313,landmark,True 4384697207,10.22215/etd/2023-15552,,Methods and Techniques for Inter-cloud Data Transfers,,2023,dissertation,operating_systems,4,1.0,1.0,28.864864864864863,1,,True,True,post,28.864864864864863,landmark,True 4394944658,10.1145/3627703.3629578,,"Orion: Interference-aware, Fine-grained GPU Sharing for ML Applications",,2024,conference-paper,operating_systems,7,56.0,97.0,28.73249138920781,97,30.7746,True,False,post,28.73249138920781,landmark,True 3012028616,10.1145/3373376.3378512,,Catalyzer,International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS),2020,conference-paper,operating_systems,6,56.0,88.0,24.84845663205922,281,26.591,True,False,baseline,24.84845663205922,landmark,True 4295682935,,,CodaLab Competitions An Open Source Platform to Organize Scientific Challenges,HAL (Le Centre pour la Communication Scientifique Directe),2022,report,operating_systems,4,28.0,68.0,22.289935364727608,75,,True,True,baseline,22.289935364727608,landmark,True 3152809665,10.1145/3445814.3446701,,"Nightcore: efficient and scalable serverless computing for latency-sensitive, interactive microservices",,2021,conference-paper,operating_systems,5,33.0,78.0,21.88714698058747,215,30.1787,True,True,baseline,21.88714698058747,landmark,True 3010663313,10.1145/3373376.3378515,,FlatStore: An Efficient Log-Structured Key-Value Storage Engine for Persistent Memory,International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS),2020,conference-paper,operating_systems,5,38.0,70.0,21.67711021009952,165,23.8709,True,False,baseline,21.67711021009952,landmark,True 3023238978,10.1145/3342195.3387524,,Autopilot,,2020,conference-paper,operating_systems,5,53.0,76.0,21.46003072768751,303,26.591,True,True,baseline,21.46003072768751,landmark,True 3092732687,,,PENGEMBANGAN SISTEM INFORMASI PENERIMAANMAHASISWA BARU DENGAN METODE BUSINESSPROCESS AUTOMATION (STUDI KASUS: INSTITUTTEKNOLOGI KALIMANTAN),,2019,dissertation,operating_systems,1,0.0,1.0,21.373831775700936,1,,True,False,baseline,21.373831775700936,landmark,True 7131624127,10.1109/tcyb.2026.3665802,,Zentropy-Enhanced Multigranularity Knowledge Modeling for Robust Feature Selection,IEEE Transactions on Cybernetics,2026,article,operating_systems,1,6.0,6.0,16.941652365775926,6,21.3832,True,False,post,21.331323475944274,landmark,True 7127083763,10.1038/s41746-026-02414-x,,Digital medicine’s international race for regulatory sandboxes and voluntary alternative pathways picks up tempo,npj Digital Medicine,2026,article,operating_systems,1,6.0,6.0,7.93984962406015,6,44.8817,True,True,post,21.331323475944274,landmark,True 2792476970,10.1145/3159450.3159498,,Assessing Bootstrap,ACM Technical Symposium on Computer Science Education (SIGCSE),2018,conference-paper,operating_systems,1,43.0,51.0,20.74425370963049,68,15.3851,True,False,baseline,20.74425370963049,landmark,True 3138262672,10.5445/ir/1000097700,,SimuBoost: Scalable Parallelization of Functional System Simulation,Repository KITopen (Karlsruhe Institute of Technology),2019,dissertation,operating_systems,5,3.0,3.0,20.57142857142857,3,,True,True,baseline,20.57142857142857,landmark,True 3021475380,10.1145/3342195.3387532,,Keystone,,2020,conference-paper,operating_systems,5,90.0,144.0,20.409055296688795,379,20.3598,True,True,baseline,20.409055296688795,landmark,True 4407217670,10.1145/3669940.3707256,2405.04437,vAttention: Dynamic Memory Management for Serving LLMs without PagedAttention,ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS),2025,conference-paper,operating_systems,7,40.0,40.0,34.965113033770585,40,35.3801,True,True,post,20.250354195006764,landmark,True 4366587887,10.3390/su15086917,,Promising Emerging Technologies for Teaching and Learning: Recent Developments and Future Challenges,Sustainability,2023,article,operating_systems,1,44.0,83.0,19.453189395067895,108,24.9088,True,True,post,19.453189395067895,landmark,True 3134501457,,,KLASIFIKASI INDEKS PEMBANGUNAN MANUSIA KABUPATEN/KOTA DI INDONESIA MENGGUNAKANMETODE RANDOM FOREST,,2020,dissertation,operating_systems,1,1.0,2.0,18.809744779582367,5,,True,False,baseline,18.809744779582367,landmark,True 2982169647,10.1038/s41586-019-1666-5,,Quantum supremacy using a programmable superconducting processor,Nature,2019,article,quantum_computing,4,941.0,2260.0,343.6453226447595,7695,402.3374,True,True,baseline,343.6453226447595,landmark,True 2781738013,10.22331/q-2018-08-06-79,,Quantum Computing in the NISQ era and beyond,Quantum,2018,article,quantum_computing,2,386.0,1026.0,193.65188671645743,8559,285.8725,True,True,baseline,193.65188671645743,landmark,True 4396986598,10.48550/arxiv.2405.08810,2405.08810,Quantum computing with Qiskit,arXiv (Cornell University),2024,preprint,quantum_computing,2,148.0,208.0,181.45149859248218,208,,True,True,post,181.45149859248218,landmark,True 4408847956,10.1038/s42254-025-00813-9,2405.00781,Barren plateaus in variational quantum computing,Nature Reviews Physics,2025,review,quantum_computing,2,257.0,257.0,31.907270486752928,257,34.4334,False,True,post,130.10852570291846,landmark,True 4407158326,10.1038/s41586-024-08404-x,,Distributed quantum computing across an optical network link,Nature,2025,article,quantum_computing,5,192.0,192.0,65.40466790073914,192,79.0635,True,True,post,97.20170013603247,landmark,True 3107463944,10.1126/science.abe8770,,Quantum computational advantage using photons,Science,2020,article,quantum_computing,3,294.0,769.0,96.1833097432046,2267,120.9449,True,True,baseline,96.1833097432046,landmark,True 4213212652,10.1103/revmodphys.94.015004,,Noisy intermediate-scale quantum algorithms,Reviews of Modern Physics,2022,article,quantum_computing,2,509.0,908.0,93.55996787058045,1718,108.1665,True,True,baseline,93.55996787058045,landmark,True 4405183524,10.1038/s41586-024-08449-y,,Quantum error correction below the surface code threshold,Nature,2024,article,quantum_computing,3,394.0,751.0,93.2801756943183,751,111.7642,True,True,post,93.2801756943183,landmark,True 1868882999,10.82444/warw.33678349,,Formal verification techniques using quantum process calculus,Warwick Research Archive Portal (University of Warwick),2026,dissertation,quantum_computing,5,26.0,26.0,795.7491039426524,27,,True,True,post,92.4357350624252,landmark,True 4406693713,10.1038/s41586-024-08406-9,,Scaling and networking a modular photonic quantum computer,Nature,2025,article,quantum_computing,4,178.0,178.0,60.63557753297692,178,73.6539,True,True,post,90.1140761677801,landmark,True 4386285839,10.3390/admsci13090196,,Managing the Strategic Transformation of Higher Education through Artificial Intelligence,Administrative Sciences,2023,article,quantum_computing,2,165.0,380.0,89.06279482079277,543,127.3637,True,True,post,89.06279482079277,landmark,True 7160873310,10.55124/jqca.v1i1.101,,Enhancing the Performance Prediction of Quantum Computing Algorithms using Gradient Boosting and Ada Boost Regression,Journal of Quantum Computing and Advanced Algorithms,2026,article,quantum_computing,4,24.0,24.0,26.707236765289682,24,83.0902,True,True,post,85.3252939037771,landmark,True 4407091026,10.1016/s2589-7500(24)00267-x,,"Screening performance and characteristics of breast cancer detected in the Mammography Screening with Artificial Intelligence trial (MASAI): a randomised, controlled, parallel-group, non-inferiority, single-blinded, screening accuracy study",The Lancet Digital Health,2025,article,quantum_computing,1,164.0,164.0,55.86648716521469,164,67.8282,True,True,post,83.02645219952774,landmark,True 3156168805,10.15488/11476,,Ultra-low vibration closed-cycle cryogenic surface-electrode ion trap apparatus,Institutional Repository of Leibniz Universität Hannover (Leibniz Universität Hannover),2021,dissertation,quantum_computing,2,10.0,18.0,81.87032967032967,25,,True,True,baseline,81.87032967032967,landmark,True 4321610982,10.1038/s41586-022-05434-1,,Suppressing quantum errors by scaling a surface code logical qubit,Nature,2023,article,quantum_computing,1,462.0,879.0,80.69640995309555,1083,94.0878,True,True,post,80.69640995309555,landmark,True 2963194964,,,Lämmönsäätely suprajohtavissa mikroaaltopiireissä,Aaltodoc (Aalto University),2019,dissertation,quantum_computing,1,15.0,22.0,80.11469534050178,32,,True,False,baseline,80.11469534050178,landmark,True 1521266393,10.1103/revmodphys.93.025005,,Circuit quantum electrodynamics,Reviews of Modern Physics,2021,article,quantum_computing,1,362.0,674.0,78.54959108089838,1931,89.363,True,True,baseline,78.54959108089838,landmark,True 4321649614,10.1103/dmn4-snfx,,Quantum-selected configuration interaction: Classical diagonalization of Hamiltonians in subspaces selected by quantum computers,Physical Review Research,2026,article,quantum_computing,2,22.0,22.0,24.48163370151554,22,43.3514,True,True,post,78.21485274512901,landmark,True 2788945937,10.37686/qrl.v1i2.80,,Classification with Quantum Neural Networks on Near Term Processors,,2020,report,quantum_computing,1,188.0,222.0,77.25930521091811,332,,True,True,baseline,77.25930521091811,landmark,True 3174122836,10.1201/9781003358817-7,,Quantum Computing 40 Years Later,CRC Press eBooks,2023,book-chapter,quantum_computing,3,84.0,139.0,76.8491680085883,123,68.2265,True,True,baseline,76.8491680085883,landmark,True 4408612646,10.1038/s41586-025-08739-z,,Microsatellite-based real-time quantum key distribution,Nature,2025,article,quantum_computing,3,151.0,151.0,51.438046109435476,151,62.4186,False,True,post,76.44508708615054,landmark,True 4409126690,10.1007/s11227-025-07047-7,2410.00916,"IBM quantum computers: evolution, performance, and future directions",The Journal of Supercomputing,2025,article,quantum_computing,4,151.0,151.0,51.438046109435476,151,61.5863,True,True,post,76.44508708615054,landmark,True 4389373471,10.1038/s41586-023-06927-3,,Logical quantum processor based on reconfigurable atom arrays,Nature,2023,article,quantum_computing,3,242.0,826.0,75.83075611064497,1099,96.5476,True,True,post,75.83075611064497,landmark,True 4380627387,10.1038/s41586-023-06096-3,,Evidence for the utility of quantum computing before fault tolerance,Nature,2023,article,quantum_computing,3,422.0,821.0,75.37173216324398,1033,90.7495,True,True,post,75.37173216324398,landmark,True 4294786246,,,Time-optimal holonomic quantum computation,KTH Publication Database DiVA (KTH Royal Institute of Technology),2022,dissertation,quantum_computing,1,7.0,10.0,74.89035087719299,13,,True,True,baseline,74.89035087719299,landmark,True 7117963061,10.1016/j.rser.2025.116664,,"Toward sustainable data center operation: A review on existing infrastructures, integrated smart energy management frameworks, and future perspectives",Renewable and Sustainable Energy Reviews,2026,article,sustainable_computing,3,30.0,30.0,213.13627514600907,30,274.5849,False,False,post,106.65661737972137,landmark,True 4362707075,10.48550/arxiv.2304.03271,2304.03271,"Making AI Less ""Thirsty"": Uncovering and Addressing the Secret Water Footprint of AI Models",arXiv (Cornell University),2023,preprint,sustainable_computing,2,66.0,133.0,93.25822253324003,162,,True,True,post,93.25822253324003,landmark,True 4411368489,10.1145/3724499,,Making AI Less 'Thirsty',Communications of the ACM,2025,article,sustainable_computing,2,163.0,163.0,37.38016172506738,163,37.1417,True,True,post,82.52019334465257,landmark,True 2963840171,10.1109/comst.2018.2812301,1802.09345,"Information and Communications Technologies for Sustainable Development Goals: State-of-the-Art, Needs and Perspectives",IEEE Communications Surveys & Tutorials,2018,article,sustainable_computing,2,95.0,155.0,82.1805490963324,613,105.2524,True,True,baseline,82.1805490963324,landmark,True 7140797778,10.1109/tetci.2026.3671111,,Carbon Footprint Efficiency Ratio: A Unified Indicator for Green Evaluation of Evolutionary Algorithms,IEEE Transactions on Emerging Topics in Computational Intelligence,2026,article,sustainable_computing,5,20.0,20.0,29.883558453656264,20,34.2939,True,False,post,71.10441158648091,landmark,True 4415057924,10.1016/j.ynexs.2026.100162,2509.07218,Electricity demand and grid impacts of AI data centers: Challenges and prospects,Nexus,2026,article,sustainable_computing,3,18.0,18.0,26.89520260829064,18,29.1498,True,True,post,63.99397042783282,landmark,True 4403458785,10.1186/s41239-024-00490-1,,"Artificial intelligence in higher education: exploring faculty use, self-efficacy, distinct profiles, and professional development needs",International Journal of Educational Technology in Higher Education,2024,article,sustainable_computing,1,72.0,206.0,62.021459265757656,206,78.8326,True,True,post,62.021459265757656,landmark,True 2892611063,10.1007/978-3-030-00253-4_8,,Improving Big Data Centers Energy Efficiency: Traffic Based Model and Method,"Studies in systems, decision and control",2018,book-chapter,sustainable_computing,3,28.0,50.0,58.75865606565786,88,58.8035,False,False,baseline,58.75865606565786,landmark,True 7131638452,10.1007/s12525-026-00877-0,,Digital product passports,Electronic Markets,2026,article,sustainable_computing,1,14.0,14.0,13.680608365019012,14,89.8458,True,True,post,49.77308811053664,landmark,True 4308245305,10.48550/arxiv.2211.02001,2211.02001,"Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model",arXiv (Cornell University),2022,preprint,sustainable_computing,2,24.0,94.0,49.0919881305638,178,,True,True,baseline,49.0919881305638,landmark,True 7129692983,10.1109/tnse.2026.3665604,,Spatio-Temporal Coordinated Operation Strategy of Data Centers Considering Virtual Storage System via Two-Stage Distributionally Robust Optimization,IEEE Transactions on Network Science and Engineering,2026,article,sustainable_computing,4,13.0,13.0,92.3590525632706,13,118.9868,True,True,post,46.2178675312126,landmark,True 7128511066,10.1016/j.ssaho.2026.102560,,"The impacts of globalization, institutional quality, and digital technology innovation on OECD countries sustainable digital economic growth",Social Sciences & Humanities Open,2026,article,sustainable_computing,1,13.0,13.0,92.3590525632706,13,118.9868,True,True,post,46.2178675312126,landmark,True 4399913870,10.1016/j.neucom.2024.128096,,A review of green artificial intelligence: Towards a more sustainable future,Neurocomputing,2024,article,sustainable_computing,3,244.0,466.0,42.08809549196657,466,47.9661,True,True,post,42.08809549196657,landmark,True 4391530352,10.1016/j.ijrefrig.2024.02.007,,"Data centers cooling: A critical review of techniques, challenges, and energy saving solutions",International Journal of Refrigeration,2024,article,sustainable_computing,3,82.0,173.0,38.56480172355753,173,54.4861,False,False,post,38.56480172355753,landmark,True 4385481791,10.1145/3604930.3605705,,Reducing the Carbon Impact of Generative AI Inference (today and in 2035),,2023,conference-paper,sustainable_computing,5,44.0,110.0,36.66315007073153,127,64.935,True,True,post,36.66315007073153,landmark,True 7115707641,10.1016/j.patter.2025.101430,,The carbon and water footprints of data centers and what this could mean for artificial intelligence,Patterns,2025,article,sustainable_computing,3,71.0,71.0,16.282156334231807,71,15.9504,True,True,post,35.94437869613701,landmark,True 4407614581,10.1007/s11528-025-01055-3,,Examining Teaching Competencies and Challenges While Integrating Artificial Intelligence in Higher Education,TechTrends,2025,article,sustainable_computing,1,71.0,71.0,61.64226839442977,71,77.5671,True,True,post,35.94437869613701,landmark,True 7122842330,10.3389/frai.2025.1692763,,Bridging technology and sustainability: examining the role of green AI adoption in Indian banking sector,Frontiers in Artificial Intelligence,2026,article,sustainable_computing,1,10.0,10.0,9.609756097560977,10,77.2657,True,True,post,35.552205793240454,landmark,True 4407592994,10.1145/3718363,2409.12626,Green Federated Learning: A New Era of Green Aware AI,ACM Computing Surveys,2025,article,sustainable_computing,9,65.0,65.0,14.906199460916442,65,14.5832,True,True,post,32.90682556688599,landmark,True 4390660405,10.1109/access.2024.3351468,,The Optimization of Carbon Emission Prediction in Low Carbon Energy Economy Under Big Data,IEEE Access,2024,article,sustainable_computing,1,167.0,193.0,32.37439457539554,193,69.0898,True,True,post,32.37439457539554,landmark,True 4416596047,10.1109/access.2026.3659894,2511.17179,Toward Sustainable AI: A Scoping Review of Carbon Footprint and Environmental Impacts Across Training and Inference Stages,IEEE Access,2026,article,sustainable_computing,2,9.0,9.0,13.44760130414532,9,15.4323,True,True,post,31.99698521391641,landmark,True 7138433923,10.1609/aaai.v40i38.40535,,TokenPowerBench: Benchmarking the Power Consumption of LLM Inference,Proceedings of the AAAI Conference on Artificial Intelligence,2026,conference-paper,sustainable_computing,6,9.0,9.0,77.99494097807758,8,183.5393,True,True,post,31.99698521391641,landmark,True 4411541921,10.1145/3715275.3732007,2501.16548,From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate,"ACM Conference on Fairness, Accountability, and Transparency (FAccT)",2025,conference-paper,sustainable_computing,2,62.0,62.0,60.833434492326376,62,144.145,True,True,post,31.388049002260484,landmark,True 4283157527,10.1145/3531146.3533234,2206.05229,Measuring the Carbon Intensity of AI in Cloud Instances,"ACM Conference on Fairness, Accountability, and Transparency (FAccT)",2022,conference-paper,sustainable_computing,4,47.0,104.0,31.08684263550272,234,73.2411,True,True,baseline,31.08684263550272,landmark,True 3156891177,10.48550/arxiv.2104.10350,2104.10350,Carbon Emissions and Large Neural Network Training,arXiv (Cornell University),2021,preprint,sustainable_computing,6,47.0,77.0,29.52943615257048,122,,True,True,baseline,29.52943615257048,landmark,True