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Data-Centric Engineering is Scopus-indexed (Q1, CiteScore 4.8), WoS ESCI, DOAJ. It is covered by India's One Nation One Subscription scheme for reading access. Published by Cambridge University Press.
Checked against the index lists dated .
ISSN 2632-6736Verify ISSN ↗
Publisher: Cambridge University Press
Cost to publish: Checking DOAJ for article charges…
| Subject area | Rank | Pctile | Q |
|---|---|---|---|
| Statistics and Probability | 42 / 303 | 86th | Q1 |
| Applied Mathematics | 113 / 680 | 83rd | Q1 |
| Engineering (all) | 91 / 351 | 74th | Q2 |
| Computer Science Applications | 391 / 1022 | 61st | Q2 |
Not listed in: ABDC, ABS / AJG, FT50, UT Dallas, ONOS (APC covered)
Yes — actively indexed in Scopus, coverage 2020–present, best quartile Q1, CiteScore 4.8.
Data-Centric Engineering is Q1 in Statistics and Probability (rank 42 of 303), Q1 in Applied Mathematics (rank 113 of 680) and Q2 in Engineering (all) (rank 91 of 351), by CiteScore 2025. It is ranked in 4 subject areas in all.
Data-Centric Engineering 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 4.8, which places it in quartile Q1 at the 86th percentile of its subject. Its SCImago Journal Rank (SJR, a free Scopus-based metric) is 0.638, quartile Q2, with an H-index of 19.
The publisher lists an article processing charge of about US$3,550 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-Centric Engineering is published by Cambridge University Press. Its ISSN is 2632-6736.
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.
Yes — it is an open-access journal, listed in DOAJ.
Data-Centric Engineering has an h-index of 25 and a 2-year mean of 4.37 citations per paper (OpenAlex). Its Scopus CiteScore is 4.8, quartile Q1. On 2-year citations it ranks #13 of 294 Scopus journals in Statistics and Probability.
Data-Centric Engineering published 57 papers in 2025. 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 (2024–2026), authors are most often from United Kingdom (28.1%), United States (17.7%) and Germany (8.6%).
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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