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Data Mining and Knowledge Discovery is Scopus-indexed (Q1, CiteScore 9.7), WoS SCIE. It is covered by India's One Nation One Subscription scheme for reading access. Published by Springer Netherlands.
Checked against the index lists dated .
ISSN 1384-5810Verify ISSN ↗1573-756XVerify ISSN ↗
Publisher: Springer Netherlands
Cost to publish: About US$3,190 to publish open access (publisher list price, via OpenAlex) — subscription publishing may be free
| Subject area | Rank | Pctile | Q |
|---|---|---|---|
| Computer Networks and Communications | 72 / 568 | 87th | Q1 |
| Computer Science Applications | 150 / 1022 | 85th | Q1 |
| Information Systems | 79 / 519 | 84th | Q1 |
Not listed in: DOAJ, ABDC, ABS / AJG, FT50, UT Dallas, ONOS (APC covered)
Yes — actively indexed in Scopus, coverage 1997–present, best quartile Q1, CiteScore 9.7.
Data Mining and Knowledge Discovery is Q1 in Computer Networks and Communications (rank 72 of 568), Q1 in Computer Science Applications (rank 150 of 1022) and Q1 in Information Systems (rank 79 of 519), by CiteScore 2025.
Data Mining and Knowledge Discovery is indexed in the Science Citation Index Expanded, 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 9.7, which places it in quartile Q1 at the 87th percentile of its subject. Its SCImago Journal Rank (SJR, a free Scopus-based metric) is 1.200, quartile Q1, with an H-index of 131.
The publisher lists an article processing charge of about US$3,190 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.
Data Mining and Knowledge Discovery is published by Springer Netherlands. Its print ISSN is 1384-5810 and its online ISSN is 1573-756X.
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 Science Citation Index Expanded.
No — it is not registered as an open-access journal in DOAJ or Scopus.
Data Mining and Knowledge Discovery has an h-index of 141 and a 2-year mean of 4.52 citations per paper (OpenAlex). Its Scopus CiteScore is 9.7, quartile Q1. On 2-year citations it ranks #93 of 394 Scopus journals in Computer Networks and Communications.
Data Mining and Knowledge Discovery published 93 papers in 2025; its busiest recent year was 2023 with 94. 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 98 research articles (2025–2026), authors are most often from China (18.2%), Italy (9.4%) and France (7.1%).
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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