Journal of Artificial Intelligence Research

104.7k citations
1.5k papers · · active since 2016

Impact in

    • AI-based Problem Solving and Planning
    • Imbalanced Data Classification Techniques
    • Logic, Reasoning, and Knowledge
    • Topic Modeling
    • Reinforcement Learning in Robotics
    • Semantic Web and Ontologies
    • Natural Language Processing Techniques
  • Software top 2%

Papers in

Journal of Artificial Intelligence Research

1.3k papers receiving 97.3k citations

Peers

Journal of Artificial Intelligence Research
Comparison fields: 5 of 241
  • Artificial Intelligence 64.4k
  • Software 3.1k
  • Computer Networks and Communications 15.8k
  • Management Science and Operations Research 7.9k
  • Computer Vision and Pattern Recognition 13.4k
Replace IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans with:
IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans United States
Data Mining and Knowledge Discovery United States
Journal of Machine Learning Research United States
ACM Transactions on Information Systems China
IEEE Intelligent Systems United States
Data & Knowledge Engineering United States
AI Magazine United States
IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) United States
IEEE Transactions on Evolutionary Computation China
IEEE Internet Computing United States
Journal of Artificial Intelligence Research relative to IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans United States IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans's profile →
Citations per field
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IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · 1×
Citations per year

Countries where authors publish in Journal of Artificial Intelligence Research

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Artificial Intelligence Research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Journal of Artificial Intelligence Research with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Artificial Intelligence Research more than expected).

Fields of papers published in Journal of Artificial Intelligence Research

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Artificial Intelligence Research. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Journal of Artificial Intelligence Research.

About Journal of Artificial Intelligence Research

The 1.5k papers published in Journal of Artificial Intelligence Research in the last decades have received a total of 104.7k indexed citations . Papers published in Journal of Artificial Intelligence Research usually cover Artificial Intelligence (1.0k papers), Management Science and Operations Research (228 papers), Computational Theory and Mathematics (224 papers), Software (54 papers) and Computer Networks and Communications (291 papers) specifically the topics of Logic, Reasoning, and Knowledge (309 papers), AI-based Problem Solving and Planning (217 papers), Constraint Satisfaction and Optimization (192 papers), Semantic Web and Ontologies (150 papers), Bayesian Modeling and Causal Inference (150 papers), Topic Modeling (140 papers), Natural Language Processing Techniques (125 papers) and Auction Theory and Applications (121 papers). The most active scholars publishing in Journal of Artificial Intelligence Research are Nitesh V. Chawla, Lawrence Hall, Kevin W. Bowyer, W. Philip Kegelmeyer, Leslie Pack Kaelbling, Michael L. Littman, Andrew Moore, Tom Dietterich, Philip Resnik and J. R. Quinlan.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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