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ACM Transactions on Evolutionary Learning and Optimization is Scopus-indexed (Q1, CiteScore 7.3), WoS ESCI. It is covered by India's One Nation One Subscription scheme for reading access. Published by Association for Computing Machinery.
Checked against the index lists dated .
ISSN 2688-299XVerify ISSN ↗2688-3007Verify ISSN ↗
Publisher: Association for Computing Machinery
Cost to publish: No APC data — check the publisher
| Subject area | Rank | Pctile | Q |
|---|---|---|---|
| Computational Theory and Mathematics | 27 / 203 | 86th | Q1 |
| Computer Vision and Pattern Recognition | 33 / 183 | 82nd | Q1 |
| Computer Science (miscellaneous) | 38 / 179 | 79th | Q1 |
| Computer Science Applications | 231 / 1022 | 77th | Q1 |
| Software | 121 / 503 | 76th | Q1 |
| Artificial Intelligence | 143 / 570 | 75th | Q1 |
Not listed in: DOAJ, ABDC, ABS / AJG, FT50, UT Dallas, ONOS (APC covered)
Yes — actively indexed in Scopus, coverage 2021–present, best quartile Q1, CiteScore 7.3.
ACM Transactions on Evolutionary Learning and Optimization is Q1 in Computational Theory and Mathematics (rank 27 of 203), Q1 in Computer Vision and Pattern Recognition (rank 33 of 183) and Q1 in Computer Science (miscellaneous) (rank 38 of 179), by CiteScore 2025. It is ranked in 6 subject areas in all.
ACM Transactions on Evolutionary Learning and Optimization 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 7.3, which places it in quartile Q1 at the 86th percentile of its subject. Its SCImago Journal Rank (SJR, a free Scopus-based metric) is 0.896, quartile Q1, with an H-index of 16.
ACM Transactions on Evolutionary Learning and Optimization is published by Association for Computing Machinery. Its print ISSN is 2688-299X and its online ISSN is 2688-3007.
Yes. It is part of the One Nation One Subscription (ONOS) national subscription, so readers at participating Indian institutions get its full text. ONOS does not cover its article processing charge.
Yes — indexed in the Emerging Sources Citation Index.
No — it is not registered as an open-access journal in DOAJ or Scopus.
ACM Transactions on Evolutionary Learning and Optimization has an h-index of 18 and a 2-year mean of 3.82 citations per paper (OpenAlex). Its Scopus CiteScore is 7.3, quartile Q1. On 2-year citations it ranks #33 of 178 Scopus journals in Computational Theory and Mathematics.
ACM Transactions on Evolutionary Learning and Optimization published 35 papers in 2025; its busiest recent year was 2024 with 36. 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 100 research articles (2023–2026), authors are most often from United Kingdom (14%), China (14%) and Germany (10.2%).
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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