Journal of Machine Learning Research

283.4k citations
1.8k papers · · active since 1992

Impact in

Papers in

    • Machine Learning and Algorithms 145
    • Bayesian Modeling and Causal Inference 131
    • Reinforcement Learning in Robotics 92
    • Stochastic Gradient Optimization Techniques 80
    • Gaussian Processes and Bayesian Inference 47
    • Statistical Methods and Inference 121

Journal of Machine Learning Research

1.2k papers receiving 163.7k citations

Peers

Journal of Machine Learning Research
Comparison fields: 5 of 232
  • Artificial Intelligence 78.7k
  • Computer Vision and Pattern Recognition 27.1k
  • Computational Mathematics 582
  • Information Systems 13.3k
  • Statistics and Probability 6.4k
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Journal of Machine Learning Research relative to Machine Learning United States Machine Learning's profile →
Citations per field
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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 (763 papers), Statistics and Probability (164 papers), Computational Mathematics (6 papers), Management Science and Operations Research (62 papers) and Statistical and Nonlinear Physics (22 papers) specifically the topics of Machine Learning and Algorithms (145 papers), Bayesian Modeling and Causal Inference (131 papers), Statistical Methods and Inference (121 papers), Reinforcement Learning in Robotics (92 papers), Stochastic Gradient Optimization Techniques (80 papers), Advanced Bandit Algorithms Research (53 papers), Gaussian Processes and Bayesian Inference (47 papers) and Sparse and Compressive Sensing Techniques (36 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, Nitish Srivastava, Ruslan Salakhutdinov 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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