Journal of Machine Learning Research

268.6k citations
2.2k papers · · active since 1950

Impact in

    • Topic Modeling
    • Text and Document Classification Technologies
    • Machine Learning and Data Classification
    • Domain Adaptation and Few-Shot Learning
    • Anomaly Detection Techniques and Applications
    • Face and Expression Recognition
    • Advanced Image and Video Retrieval Techniques

Papers in

    • Machine Learning and Algorithms 383
    • Neural Networks and Applications 254
    • Bayesian Modeling and Causal Inference 229
    • Machine Learning and Data Classification 226
    • Gaussian Processes and Bayesian Inference 198

Journal of Machine Learning Research

2.0k papers receiving 247.2k citations

Peers

Journal of Machine Learning Research
Comparison fields: 5 of 243
  • Artificial Intelligence 137.6k
  • Computer Vision and Pattern Recognition 72.4k
  • Computational Mathematics 1.5k
  • Signal Processing 24.9k
  • Statistics and Probability 11.6k
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Journal of Machine Learning Research relative to Machine Learning United States Machine Learning's profile →
Citations per field
00.5×1.5×2.1×
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 2.2k papers published in Journal of Machine Learning Research in the last decades have received a total of 268.6k indexed citations . Papers published in Journal of Machine Learning Research usually cover Artificial Intelligence (1.6k papers), Computational Mathematics (29 papers), Statistics and Probability (330 papers), Computer Vision and Pattern Recognition (445 papers) and Signal Processing (204 papers) specifically the topics of Machine Learning and Algorithms (383 papers), Face and Expression Recognition (286 papers), Sparse and Compressive Sensing Techniques (270 papers), Neural Networks and Applications (254 papers), Bayesian Modeling and Causal Inference (229 papers), Machine Learning and Data Classification (226 papers), Statistical Methods and Inference (217 papers) and Gaussian Processes and Bayesian Inference (198 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 Y. 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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