1work_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,ntitle,score,set,pi_review24311415873,10.4230/lipics.wads.2025.45,,Fast Kd-Trees for the Kullback-Leibler Divergence and Other Decomposable Bregman Divergences,Leibniz international proceedings in informatics,2025,conference-paper,algorithms,3,2355.0,2355.0,1915.3516038917253,2354,1042.305,True,True,post,fastkdtreesforthekullbackleiblerdivergenceandotherdecomposablebregmandivergences,1029.0680418363954,landmark,True34294558607,10.4230/lipics.sea.2024.20,,Targeted Branching for the Maximum Independent Set Problem Using Graph Neural Networks,DROPS (Schloss Dagstuhl – Leibniz Center for Informatics),2024,article,algorithms,4,5110.0,5183.0,861.3021555600685,5183,320.7213,True,True,post,targetedbranchingforthemaximumindependentsetproblemusinggraphneuralnetworks,861.3021555600685,landmark,True44285092328,10.1145/3544585.3544600,,A Note on Two Problems in Connexion with Graphs,ACM eBooks,2022,book-chapter,algorithms,1,631.0,868.0,724.7350484463749,1353,589.8043,True,False,baseline,anoteontwoproblemsinconnexionwithgraphs,724.7350484463749,landmark,True52112641412,10.37236/11668,,A Dynamic Survey of Graph Labeling,The Electronic Journal of Combinatorics,2022,article,algorithms,1,1698.0,1780.0,288.61814892416174,2162,44.7232,True,True,post,adynamicsurveyofgraphlabeling,288.61814892416174,landmark,True62003494253,10.1017/9781009260350.002,,Algorithms+Data Structures = Programs,Cambridge University Press eBooks,2024,book-chapter,algorithms,2,231.0,231.0,275.60804020100505,953,13.0275,True,False,post,algorithmsdatastructuresprograms,275.60804020100505,landmark,True77128526706,10.1007/s10462-026-11504-x,,Glider snake optimizer (GSO): a nature-inspired metaheuristic algorithm for global and engineering optimization problems,Artificial Intelligence Review,2026,article,algorithms,5,91.0,91.0,101.26493940172338,91,328.7483,True,True,post,glidersnakeoptimizergsoanatureinspiredmetaheuristicalgorithmforglobalandengineeringoptimizationproblems,230.72780750937136,landmark,True81491280261,10.26190/unsworks/6784,,Grammatical bias for evolutionary learning,"UNSWorks (University of New South Wales, Sydney, Australia)",2022,dissertation,algorithms,1,26.0,28.0,209.69298245614038,96,,True,True,baseline,grammaticalbiasforevolutionarylearning,209.69298245614038,landmark,True97125913058,10.1109/tsmc.2026.3655483,,Multiresource-Constrained Flexible Job Shop Scheduling With Fixture Pallets and Setup Stations Under Pallet Automation Systems,IEEE Transactions on Systems Man and Cybernetics Systems,2026,article,algorithms,3,73.0,73.0,84.02038567493113,73,309.1219,True,True,post,multiresourceconstrainedflexiblejobshopschedulingwithfixturepalletsandsetupstationsunderpalletautomationsystems,185.08934008993526,landmark,True103119051141,10.1016/j.cma.2020.113609,,The Arithmetic Optimization Algorithm,Computer Methods in Applied Mechanics and Engineering,2021,article,algorithms,2,900.0,1513.0,176.3286814620167,2928,183.3132,True,True,baseline,thearithmeticoptimizationalgorithm,176.3286814620167,landmark,True114406080942,10.1007/s10462-024-11023-7,,Artificial lemming algorithm: a novel bionic meta-heuristic technique for solving real-world engineering optimization problems,Artificial Intelligence Review,2025,article,algorithms,3,330.0,330.0,112.41427295439541,330,137.3209,True,True,post,artificiallemmingalgorithmanovelbionicmetaheuristictechniqueforsolvingrealworldengineeringoptimizationproblems,144.200617327393,landmark,True122891784792,10.48550/arxiv.2407.17712,2407.17712,Improving Online Algorithms via ML Predictions,arXiv (Cornell University),2024,preprint,algorithms,2,111.0,112.0,142.64098765432098,112,,True,True,post,improvingonlinealgorithmsviamlpredictions,142.64098765432098,landmark,True133139484821,10.1016/j.cie.2021.107250,,Aquila Optimizer: A novel meta-heuristic optimization algorithm,Computers & Industrial Engineering,2021,article,algorithms,1,683.0,1186.0,138.21931012158083,2213,141.9398,False,False,baseline,aquilaoptimizeranovelmetaheuristicoptimizationalgorithm,138.21931012158083,landmark,True142121903617,10.1201/9781482268713-14,,Introduction to evolutionary algorithms,CRC Press eBooks,2018,book-chapter,algorithms,1,260.0,292.0,135.62163175992498,349,50.6462,True,False,baseline,introductiontoevolutionaryalgorithms,135.62163175992498,landmark,True152207864362,10.58088/v6j9-5f14,,Properties of some algebraically defined digraphs,"Library, Museums and Press - UDSpace (University of Delaware)",2024,dissertation,algorithms,1,6.0,6.0,134.92307692307693,6,,True,True,post,propertiesofsomealgebraicallydefineddigraphs,134.92307692307693,landmark,True162125690626,,,Combinatorial optimization: networks and matroids,,2021,article,algorithms,2,738.0,779.0,125.39890722470469,3320,16.9958,True,True,baseline,combinatorialoptimizationnetworksandmatroids,125.39890722470469,landmark,True172181620480,10.26190/unsworks/16444,,Robust solutions for constraint satisfaction and optimisation under uncertainty.,UNSWorks (UNSW Sydney),2022,dissertation,algorithms,2,16.0,16.0,120.8627450980392,17,,True,True,baseline,robustsolutionsforconstraintsatisfactionandoptimisationunderuncertainty,120.8627450980392,landmark,True182117226423,10.1007/s43069-021-00101-z,,Worst-Case Analysis of a New Heuristic for the Travelling Salesman Problem,Operations Research Forum,2022,article,algorithms,2,683.0,742.0,120.31161039422922,1131,23.3118,True,True,baseline,worstcaseanalysisofanewheuristicforthetravellingsalesmanproblem,120.31161039422922,landmark,True192146101030,10.82444/warw.33642076,,Communication complexity of document exchange,Symposium on Discrete Algorithms,2026,conference-paper,algorithms,3,46.0,46.0,353.0526747845123,122,9.2449,True,True,post,communicationcomplexityofdocumentexchange,116.63163896078113,landmark,True202963224980,10.1109/tkde.2018.2807452,1709.07604,"A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications",IEEE Transactions on Knowledge and Data Engineering,2018,article,algorithms,4,296.0,609.0,114.94541813871597,2032,138.3391,True,True,baseline,acomprehensivesurveyofgraphembeddingproblemstechniquesandapplications,114.94541813871597,landmark,True217118096636,10.1016/j.eswa.2026.131088,,A modified starfish optimization algorithm (M-SFOA) for global optimization problems and its application to heart disease risk prediction,Expert Systems with Applications,2026,article,algorithms,1,42.0,42.0,46.737664339256945,42,151.73,False,False,post,amodifiedstarfishoptimizationalgorithmmsfoaforglobaloptimizationproblemsanditsapplicationtoheartdiseaseriskprediction,106.48975731201755,landmark,True222398690976,10.1609/aaai.v26i1.8120,,Online Task Assignment in Crowdsourcing Markets,Proceedings of the AAAI Conference on Artificial Intelligence,2021,conference-paper,algorithms,3,270.0,280.0,104.97509403273355,293,14.5296,True,True,baseline,onlinetaskassignmentincrowdsourcingmarkets,104.97509403273355,landmark,True237155156112,10.1007/s10462-026-11529-2,,Gray langurs optimizer: a multi-group bio-inspired optimization algorithm,Artificial Intelligence Review,2026,article,algorithms,1,40.0,40.0,44.5120612754828,40,144.5047,True,True,post,graylangursoptimizeramultigroupbioinspiredoptimizationalgorithm,101.41881648763577,landmark,True242560014408,10.48550/arxiv.2411.10949,2411.10949,Maximization of Approximately Submodular Functions,arXiv (Cornell University),2024,preprint,algorithms,2,62.0,62.0,100.18129496402878,62,,True,True,post,maximizationofapproximatelysubmodularfunctions,100.18129496402878,landmark,True254366545219,10.1007/978-1-4471-7503-2_33,,Genetic Algorithms and Their Applications,Springer handbooks,2023,book-chapter,algorithms,1,104.0,181.0,100.06977992485238,232,122.5764,False,False,post,geneticalgorithmsandtheirapplications,100.06977992485238,landmark,True264322738676,10.1201/9781003216001-5,,Introduction to Genetic Algorithm,Chapman & Hall/CRC eBooks,2023,book-chapter,algorithms,1,176.0,177.0,97.85829307568439,308,4.6255,True,False,post,introductiontogeneticalgorithm,97.85829307568439,landmark,True274254202520,10.7551/mitpress/12274.003.0008,,"On Computable Numbers, with an Application to the Entscheidungsproblem (1936)",The MIT Press eBooks,2021,book-chapter,computational_complexity,1,312.0,353.0,227.2789500772002,521,95.7524,False,False,baseline,oncomputablenumberswithanapplicationtotheentscheidungsproblem1936,227.2789500772002,landmark,True281638203394,10.1007/978-3-030-11298-1,,An Introduction to Kolmogorov Complexity and Its Applications,Texts in computer science,2019,book,computational_complexity,2,1326.0,1437.0,122.10728346456693,3681,45.0313,False,False,baseline,anintroductiontokolmogorovcomplexityanditsapplications,122.10728346456693,landmark,True292979043732,,,ETH-tight algorithms for geometric network problems,TU/e Research Portal,2019,dissertation,computational_complexity,4,5.0,5.0,111.01694915254237,6,,True,True,baseline,ethtightalgorithmsforgeometricnetworkproblems,111.01694915254237,landmark,True302957144896,10.3389/fpsyg.2019.01652,,Factors Determining the Behavioral Intention to Use Mobile Learning: An Application and Extension of the UTAUT Model,Frontiers in Psychology,2019,article,computational_complexity,1,48.0,177.0,72.24848261060211,1039,114.0294,True,True,baseline,factorsdeterminingthebehavioralintentiontousemobilelearninganapplicationandextensionoftheutautmodel,72.24848261060211,landmark,True314394806711,10.1016/j.heliyon.2024.e29523,,Artificial intelligence and social media on academic performance and mental well-being: Student perceptions of positive impact in the age of smart learning,Heliyon,2024,article,computational_complexity,1,118.0,197.0,59.311783860943,197,74.6231,True,True,post,artificialintelligenceandsocialmediaonacademicperformanceandmentalwellbeingstudentperceptionsofpositiveimpactintheageofsmartlearning,59.311783860943,landmark,True324386113651,10.48550/arxiv.2308.08708,2308.08708,Cheap Correlate or Discriminating Property? An Executable Validation Protocol for Consciousness- and Cognition-Theoretic Claims about AI,arXiv (Cornell University),2023,preprint,computational_complexity,1,89.0,170.0,57.664,193,,True,True,post,cheapcorrelateordiscriminatingpropertyanexecutablevalidationprotocolforconsciousnessandcognitiontheoreticclaimsaboutai,57.664,landmark,True331513303009,,,Cellular Automata And Complexity: Collected Papers,CERN Document Server (European Organization for Nuclear Research),2019,article,computational_complexity,5,236.0,251.0,52.922228129373856,575,9.8222,True,True,baseline,cellularautomataandcomplexitycollectedpapers,52.922228129373856,landmark,True342905177801,,,Optimal trees for prediction and prescription,DSpace@MIT (Massachusetts Institute of Technology),2018,dissertation,computational_complexity,1,2.0,5.0,51.149155722326455,27,,True,True,baseline,optimaltreesforpredictionandprescription,51.149155722326455,landmark,True352955897898,10.1109/access.2019.2921522,,Wireless Communications and Applications Above 100 GHz: Opportunities and Challenges for 6G and Beyond,IEEE Access,2019,article,computational_complexity,2,240.0,596.0,49.00829497340763,2594,88.2939,True,True,baseline,wirelesscommunicationsandapplicationsabove100ghzopportunitiesandchallengesfor6gandbeyond,49.00829497340763,landmark,True364377102915,10.1016/j.heliyon.2023.e16348,,"Challenges, opportunities, and prospects of adopting and using smart digital technologies in learning environments: An iterative review",Heliyon,2023,article,computational_complexity,1,78.0,204.0,47.81265827221507,331,77.7811,True,True,post,challengesopportunitiesandprospectsofadoptingandusingsmartdigitaltechnologiesinlearningenvironmentsaniterativereview,47.81265827221507,landmark,True373139085460,,,Reorienting machine learning education towards tinkerers and ML-engaged citizens,DSpace@MIT (Massachusetts Institute of Technology),2020,dissertation,computational_complexity,1,3.0,8.0,45.743589743589745,16,,True,False,baseline,reorientingmachinelearningeducationtowardstinkerersandmlengagedcitizens,45.743589743589745,landmark,True384406215947,10.3390/systems13010043,,"Digital Transformation and Innovation Performance in Small- and Medium-Sized Enterprises: A Systems Perspective on the Interplay of Digital Adoption, Digital Drive, and Digital Culture",Systems,2025,article,computational_complexity,1,104.0,104.0,24.553686934023286,104,125.7829,True,True,post,digitaltransformationandinnovationperformanceinsmallandmediumsizedenterprisesasystemsperspectiveontheinterplayofdigitaladoptiondigitaldriveanddigitalculture,45.445043036511734,landmark,True392808541536,,,Meet-continuity and locally compact sober dcpos,University of Birmingham Institutional Research Archive (University of Birmingham),2018,dissertation,computational_complexity,3,2.0,10.0,44.30861723446894,19,,True,True,baseline,meetcontinuityandlocallycompactsoberdcpos,44.30861723446894,landmark,True4073572444,10.4324/9781003213574,,Complexity Theory and the Social Sciences,Routledge eBooks,2022,book,computational_complexity,1,197.0,215.0,43.70967741935484,454,13.2502,True,False,baseline,complexitytheoryandthesocialsciences,43.70967741935484,landmark,True413086066649,10.1108/aeds-04-2020-0063,,The role of digital learning toward students' satisfaction and university brand image at educational institutes of Pakistan: a post-effect of COVID-19,Asian Education and Development Studies,2020,article,computational_complexity,1,40.0,110.0,32.031113421948945,216,36.2625,True,False,baseline,theroleofdigitallearningtowardstudentssatisfactionanduniversitybrandimageateducationalinstitutesofpakistanaposteffectofcovid19,32.031113421948945,landmark,True423122335070,,,Design and development of a mobile learning system for computer science education in Nigerian higher education context,UEF eRepo (University of Eastern Finland),2018,dissertation,computational_complexity,1,2.0,3.0,30.68949343339587,5,,True,True,baseline,designanddevelopmentofamobilelearningsystemforcomputerscienceeducationinnigerianhighereducationcontext,30.68949343339587,landmark,True437133302269,10.1016/j.chbr.2026.100986,,AI-assisted learning tools and student learning outcomes: A cognitive load theory perspective,Computers in Human Behavior Reports,2026,article,computational_complexity,1,12.0,12.0,85.25451005840362,12,109.834,True,True,post,aiassistedlearningtoolsandstudentlearningoutcomesacognitiveloadtheoryperspective,30.425644946290728,landmark,True447122741622,10.3390/metrology6010003,,"Recent Advances in Digital Fringe Projection Profilometry (2022–2025): Techniques, Applications, and Metrological Challenges—A Review",Metrology,2026,article,computational_complexity,1,12.0,12.0,32.16440030557678,12,37.3956,True,True,post,recentadvancesindigitalfringeprojectionprofilometry20222025techniquesapplicationsandmetrologicalchallengesareview,30.425644946290728,landmark,True457160425037,10.1016/j.tcs.2026.116009,,Solving SAT by restricted spiking neural P systems with temporal division rules,Theoretical Computer Science,2026,article,computational_complexity,3,12.0,12.0,16.14637579169599,12,22.4653,False,False,post,solvingsatbyrestrictedspikingneuralpsystemswithtemporaldivisionrules,30.425644946290728,landmark,True462900179285,10.1145/3313276.3316369,1809.07115,The Reachability Problem for Petri Nets Is Not Elementary,ACM SIGACT Symposium on Theory of Computing (STOC),2019,conference-paper,computational_complexity,4,56.0,92.0,30.27399489989691,145,23.6478,True,True,baseline,thereachabilityproblemforpetrinetsisnotelementary,30.27399489989691,landmark,True474313549230,10.1109/acit57182.2022.9994193,,"The Influence of E-Iearning, M-learning, and D-learning on the Student Performance: Moderating Role of Institutional Support",International Arab Conference on Information Technology (ACIT),2022,conference-paper,computational_complexity,1,39.0,58.0,28.716532086697832,67,131.0986,True,False,baseline,theinfluenceofeiearningmlearninganddlearningonthestudentperformancemoderatingroleofinstitutionalsupport,28.716532086697832,landmark,True484318219991,10.1108/itp-02-2021-0152,,Students' adoption of AI-based teacher-bots (T-bots) for learning in higher education,Information Technology and People,2023,article,computational_complexity,1,47.0,118.0,27.6563415496146,171,40.183,True,False,post,studentsadoptionofaibasedteacherbotstbotsforlearninginhighereducation,27.6563415496146,landmark,True494408441779,10.1109/tem.2025.3551331,,Enhancing Creativity and Sustainable Competitive Advantage Through Data-Driven Decision-Making and Digital Leadership,IEEE Transactions on Engineering Management,2025,article,computational_complexity,1,59.0,59.0,19.444444444444446,59,84.1776,True,False,post,enhancingcreativityandsustainablecompetitiveadvantagethroughdatadrivendecisionmakinganddigitalleadership,25.781322491867233,landmark,True503202325891,10.3390/s21196578,,"Electrochemical Impedance Spectroscopy (EIS): Principles, Construction, and Biosensing Applications",Sensors,2021,article,computational_complexity,1,85.0,323.0,25.03316097346723,1335,44.934,True,True,baseline,electrochemicalimpedancespectroscopyeisprinciplesconstructionandbiosensingapplications,25.03316097346723,landmark,True512118110454,10.1017/s1755020325100920,,WHEN BI-INTERPRETABILITY IMPLIES SYNONYMY,The Review of Symbolic Logic,2025,article,computational_complexity,1,56.0,56.0,44.757894736842104,56,0.0,True,True,post,whenbiinterpretabilityimpliessynonymy,24.47040778889093,landmark,True52