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Journal of Machine Learning for Modeling and Computing is Scopus-indexed (Q1, CiteScore 5.8), WoS ESCI. Published by Begell House Inc..
Checked against the index lists dated .
ISSN 2689-3967Verify ISSN ↗2689-3975Verify ISSN ↗
Publisher: Begell House Inc.
Cost to publish: No APC data — check the publisher
| Subject area | Rank | Pctile | Q |
|---|---|---|---|
| Modeling and Simulation | 58 / 397 | 85th | Q1 |
| Computational Mechanics | 18 / 99 | 82nd | Q1 |
| Computer Science (miscellaneous) | 55 / 179 | 69th | Q2 |
| Artificial Intelligence | 185 / 570 | 67th | Q2 |
Not listed in: DOAJ, ABDC, ABS / AJG, FT50, UT Dallas, ONOS (subscription), ONOS (APC covered)
Yes — actively indexed in Scopus, coverage 2020–present, best quartile Q1, CiteScore 5.8.
Journal of Machine Learning for Modeling and Computing is Q1 in Modeling and Simulation (rank 58 of 397), Q1 in Computational Mechanics (rank 18 of 99) and Q2 in Computer Science (miscellaneous) (rank 55 of 179), by CiteScore 2025. It is ranked in 4 subject areas in all.
Journal of Machine Learning for Modeling and Computing is indexed in the Emerging Sources Citation Index, so it may have a Journal Impact Factor in Clarivate's Journal Citation Reports. JCR is paid, so check it for the current value. The closest free measure is its Scopus CiteScore 5.8, which places it in quartile Q1 at the 85th percentile of its subject. Its SCImago Journal Rank (SJR, a free Scopus-based metric) is 0.944, quartile Q1, with an H-index of 13.
Journal of Machine Learning for Modeling and Computing is published by Begell House Inc. Its print ISSN is 2689-3967 and its online ISSN is 2689-3975.
Yes — indexed in the Emerging Sources Citation Index.
No — it is not registered as an open-access journal in DOAJ or Scopus.
Journal of Machine Learning for Modeling and Computing has an h-index of 15 and a 2-year mean of 2.21 citations per paper (OpenAlex). Its Scopus CiteScore is 5.8, quartile Q1. On 2-year citations it ranks #122 of 323 Scopus journals in Modeling and Simulation.
Journal of Machine Learning for Modeling and Computing published 22 papers in 2025; its busiest recent year was 2024 with 29. 2026* is the year so far.
h-index, i10-index and 2-year mean citedness are open, licence-clear metrics from OpenAlex — not a proprietary impact factor. The subject rank counts only journals that OpenAlex has a figure for; it is not a Scopus or Clarivate ranking. Updated 2026-10-14.
In its latest 95 research articles (2021–2026), authors are most often from United States (83.5%), Germany (3.2%) and France (3.2%). More than half of recent authorship comes from one country.
Countries are counted fractionally, so a paper by authors from two countries counts half to each.
Scopus status: Active. No retracted papers are recorded. The Problematic Paper Screener flags none of its papers. These are indicators to check, not findings against the journal.
Retractions from OpenAlex; flags from the Problematic Paper Screener (Cabanac, Labbé & Magazinov, CC BY), 2026-09-21 export. A flag marks a paper for a closer look; it is not a finding against the journal.
Index data is curated from public sources (Scopus, Web of Science, ABDC, FT50, UT Dallas, DOAJ). CiteScore and quartiles reflect the latest available Scopus release. Always verify a journal's current status on its official source before submitting.
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