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IEEE Transactions on Machine Learning in Communications and Networking is Scopus-indexed (Q2, CiteScore 5.9), WoS ESCI, DOAJ. Published by Institute of Electrical and Electronics Engineers.
Checked against the index lists dated .
ISSN 2831-316XVerify ISSN ↗
Publisher: Institute of Electrical and Electronics Engineers
Cost to publish: Checking DOAJ for article charges…
| Subject area | Rank | Pctile | Q |
|---|---|---|---|
| Signal Processing | 53 / 203 | 74th | Q2 |
| Computer Networks and Communications | 155 / 568 | 72nd | Q2 |
| Computer Science Applications | 311 / 1022 | 69th | Q2 |
| Artificial Intelligence | 184 / 570 | 67th | Q2 |
| Software | 174 / 503 | 65th | Q2 |
Not listed in: ABDC, ABS / AJG, FT50, UT Dallas, ONOS (subscription), ONOS (APC covered)
Yes — actively indexed in Scopus, coverage 2023–present, best quartile Q2, CiteScore 5.9.
IEEE Transactions on Machine Learning in Communications and Networking is Q2 in Signal Processing (rank 53 of 203), Q2 in Computer Networks and Communications (rank 155 of 568) and Q2 in Computer Science Applications (rank 311 of 1022), by CiteScore 2025. It is ranked in 5 subject areas in all.
IEEE Transactions on Machine Learning in Communications and Networking 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 5.9, which places it in quartile Q2 at the 74th percentile of its subject. Its SCImago Journal Rank (SJR, a free Scopus-based metric) is 1.267, quartile Q1, with an H-index of 16.
The publisher lists an article processing charge of about US$2,075 for open access (source: OpenAlex). Many journals also publish by the subscription route at no cost to the author, so confirm on the journal's own website.
IEEE Transactions on Machine Learning in Communications and Networking is published by Institute of Electrical and Electronics Engineers. Its ISSN is 2831-316X.
Yes — indexed in the Emerging Sources Citation Index.
Yes — it is an open-access journal, listed in DOAJ.
IEEE Transactions on Machine Learning in Communications and Networking has an h-index of 26 and a 2-year mean of 6.63 citations per paper (OpenAlex). Its Scopus CiteScore is 5.9, quartile Q2. On 2-year citations it ranks #10 of 127 Scopus journals in Signal Processing.
IEEE Transactions on Machine Learning in Communications and Networking published 83 papers in 2025; its busiest recent year was 2024 with 105. 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 97 research articles (2025–2026), authors are most often from United States (25.3%), China (17.7%) and Canada (11.9%).
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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