Journal of Machine Learning Research

292.1k citations
2.2k papers · · active since 1950

Impact in

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

Papers in

    • Machine Learning and Algorithms 384
    • Neural Networks and Applications 256
    • Bayesian Modeling and Causal Inference 230
    • Machine Learning and Data Classification 227
    • Gaussian Processes and Bayesian Inference 199

Journal of Machine Learning Research

2.1k papers receiving 269.1k citations

Peers

Journal of Machine Learning Research
Comparison fields: 5 of 243
  • Artificial Intelligence 152.8k
  • Computer Vision and Pattern Recognition 79.8k
  • Computational Mathematics 1.6k
  • Signal Processing 27.5k
  • Statistics and Probability 12.3k
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Journal of Machine Learning Research relative to Neural Computation United States Neural Computation's profile →
Citations per field
00.5×1.5×2.0×
Neural Computation · 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 292.1k indexed citations . Papers published in Journal of Machine Learning Research usually cover Computational Mathematics (29 papers), Artificial Intelligence (1.6k papers), Statistics and Probability (332 papers), Computer Vision and Pattern Recognition (447 papers) and Signal Processing (206 papers) specifically the topics of Machine Learning and Algorithms (384 papers), Face and Expression Recognition (287 papers), Sparse and Compressive Sensing Techniques (270 papers), Neural Networks and Applications (256 papers), Bayesian Modeling and Causal Inference (230 papers), Machine Learning and Data Classification (227 papers), Statistical Methods and Inference (218 papers) and Gaussian Processes and Bayesian Inference (199 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 Alex Krizhevsky.

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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