2026 Journal Metrics Score
0.0
Updated August 2026 · 2-year citation average from OpenAlex data
The Journal Metrics Score is the two-year mean citedness of a journal, computed from OpenAlex (CC0) data: citations received in the most recent complete year to works published in the two prior years, divided by the number of those works. Quartiles rank journals within each OpenAlex subfield by score. Data source: OpenAlex (CC0).
Bookmark this page — track this journal's Journal Metrics Score, quartile and field rankings with every OpenAlex data release.
| Category | Quartile |
|---|---|
| Artificial Intelligence | Q4 |
| Computer Vision and Pattern Recognition | Q4 |
| Statistics and Probability | Q4 |
A lower-cited Q4 journal by citation data
By citation data, Journal of Machine Learning Research is in the lowest quartile in Artificial Intelligence and 2 other subfields and ranks #2,074 of 2,118 Computer Science journals by Journal Metrics Score (top 98%). A Q4 placement means its papers are cited less than most in the subfield; on its own it does not mean the journal is predatory or that its peer review is weak. Journal of Machine Learning Research's 2026 Journal Metrics Score is 0.0. OpenAlex classifies its papers in subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, and Statistics and Probability, so check that your topic fits its scope.
Verdict from citation data only: quartile and field rank by Journal Metrics Score (OpenAlex), publisher-reported acceptance rates, and PubMed submission and acceptance dates. See how we rank journals and how to verify indexing.
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Journal of Machine Learning Research's 2026 Journal Metrics Score is 0.0, updated August 2026 from OpenAlex citation data. The journal is ranked Q4 in this Journal Metrics record.
OpenAlex lists these research topics for Journal of Machine Learning Research's papers: Neural Networks and Applications, Machine Learning and Algorithms, Face and Expression Recognition, and Statistical Methods and Inference.
OpenAlex records 167,474 citations to papers published in Journal of Machine Learning Research, and 653 of its papers have been cited at least 10 times each (i10-index).
Before using this record in a shortlist or submission decision, confirm the title and ISSN against the journal homepage and its OpenAlex record. Our methodology explains how the score and quartiles are computed.
Ranked #2,074 in Computer Science by Journal Metrics Score and #251 among Q4 Computer Science journals. This context helps compare Journal of Machine Learning Research against journals publishing in the same field.
Published 401 papers across the last 5 recorded years with a current Journal Metrics Score of 0.0.
Source: the current OpenAlex source record. OpenAlex works can include multiple work types. Fully Open Access is a source-level flag. Recent OA Works is summed from OpenAlex's counts_by_year series (up to the latest ten years); it is not a lifetime OA percentage. Any APC shown here is an indicative OpenAlex value—verify current charges on the journal's official website.
OpenAlex classifies Journal of Machine Learning Research's papers in subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, and Statistics and Probability. Read the aims and scope page and a few recent papers close to your topic before you prepare the manuscript.
Article types, word and figure limits, reference style, and the required statements (data availability, ethics, conflicts of interest, author contributions) are set by the journal. Prepare the cover letter and files to match them.
Journal of Machine Learning Research homepage ↗Use the submit link in Journal of Machine Learning Research's author guidelines; The MIT Press runs the submission site. Every author usually needs an ORCID iD, and the corresponding author needs an account on the submission site.
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Journal of Machine Learning Research does not publish an acceptance rate.
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See what the report coversBy citation data, Journal of Machine Learning Research is in the lowest quartile in Artificial Intelligence and 2 other subfields and ranks #2,074 of 2,118 Computer Science journals by Journal Metrics Score (top 98%). A Q4 placement means its papers are cited less than most in the subfield; on its own it does not mean the journal is predatory or that its peer review is weak. Journal of Machine Learning Research's 2026 Journal Metrics Score is 0.0. OpenAlex classifies its papers in subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, and Statistics and Probability, so check that your topic fits its scope.
We have not found an official acceptance rate published by Journal of Machine Learning Research or its publisher, and Journal Metrics does not estimate one because submission counts are not public. To judge selectivity, compare Journal of Machine Learning Research's quartile and score with similar journals, or ask the editorial office.
Submit online through the link in Journal of Machine Learning Research's author guidelines on the journal homepage. Before submitting, check the scope, follow the author guidelines for article type, length, and required statements, and prepare a cover letter.
Papers Journal of Machine Learning Research published each year, and citations its papers received in that year, from OpenAlex.