Journal of Machine Learning Research

283.4k citations
1.8k papers · · active since 1992

Impact in

    • Topic Modeling
    • Machine Learning and Data Classification
    • Machine Learning and Algorithms
    • Text and Document Classification Technologies
    • Domain Adaptation and Few-Shot Learning
    • Face and Expression Recognition
    • Advanced Neural Network Applications

Papers in

    • Machine Learning and Algorithms 411
    • Stochastic Gradient Optimization Techniques 252
    • Machine Learning and Data Classification 218
    • Bayesian Modeling and Causal Inference 199
    • Reinforcement Learning in Robotics 106
    • Gaussian Processes and Bayesian Inference 105
    • Neural Networks and Applications 100
    • Statistical Methods and Inference 267

Journal of Machine Learning Research

1.8k papers receiving 273.1k citations

Peers

Journal of Machine Learning Research
Comparison fields: 5 of 246
  • Artificial Intelligence 122.5k
  • Computer Vision and Pattern Recognition 46.3k
  • Computational Mathematics 995
  • Statistics and Probability 14.5k
  • Signal Processing 7.8k
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Journal of Machine Learning Research relative to Machine Learning United States Machine Learning's profile →
Citations per field
00.5×1.5×
Machine Learning · 1×
Citations per year

Countries where authors publish in Journal of Machine Learning Research

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Machine Learning 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 Machine Learning 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 Machine Learning Research more than expected).

Fields of papers published in Journal of Machine Learning Research

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Machine Learning 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 Machine Learning Research.

About Journal of Machine Learning Research

The 1.8k papers published in Journal of Machine Learning Research in the last decades have received a total of 283.4k indexed citations . Papers published in Journal of Machine Learning Research usually cover Artificial Intelligence (1.3k papers), Statistics and Probability (390 papers), Computational Mathematics (14 papers), Management Science and Operations Research (110 papers) and Computational Theory and Mathematics (104 papers) specifically the topics of Machine Learning and Algorithms (411 papers), Statistical Methods and Inference (267 papers), Stochastic Gradient Optimization Techniques (252 papers), Machine Learning and Data Classification (218 papers), Bayesian Modeling and Causal Inference (199 papers), Reinforcement Learning in Robotics (106 papers), Gaussian Processes and Bayesian Inference (105 papers) and Neural Networks and Applications (100 papers). The most active scholars publishing in Journal of Machine Learning Research are Geoffrey E. Hinton, Laurens van der Maaten, Janez Demšar, David M. Blei, Michael I. Jordan, Andrew Ng, Yoshua Bengio, Ruslan Salakhutdinov, Nitish Srivastava and Ilya Sutskever.

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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