| Subject area | Rank | Pctile | Q |
|---|---|---|---|
| Engineering (miscellaneous) | 22 / 300 | 92nd | Q1 |
| Artificial Intelligence | 59 / 570 | 89th | Q1 |
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Machine Learning and Knowledge Extraction
Machine Learning and Knowledge Extraction is Scopus-indexed (Q1, CiteScore 12.7), WoS ESCI, DOAJ. Published by Multidisciplinary Digital Publishing Institute (MDPI).
Checked against the index lists dated .
ISSN 2504-4990Verify ISSN ↗
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
Cost to publish: Checking DOAJ for article charges…
Not listed in: ABDC, ABS / AJG, FT50, UT Dallas, ONOS (subscription), ONOS (APC covered)
Quick answers
Is Machine Learning and Knowledge Extraction indexed in Scopus?
Yes — actively indexed in Scopus, coverage 2019–present, best quartile Q1, CiteScore 12.7.
What quartile is Machine Learning and Knowledge Extraction in Scopus?
Machine Learning and Knowledge Extraction is Q1 in Engineering (miscellaneous) (rank 22 of 300) and Q1 in Artificial Intelligence (rank 59 of 570), by CiteScore 2025.
What is the impact factor of Machine Learning and Knowledge Extraction?
Machine Learning and Knowledge Extraction 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 12.7, which places it in quartile Q1 at the 92nd percentile of its subject. Its SCImago Journal Rank (SJR, a free Scopus-based metric) is 1.548, quartile Q1, with an H-index of 46.
How much does it cost to publish in Machine Learning and Knowledge Extraction?
The publisher lists an article processing charge of about US$2,172 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.
Who publishes Machine Learning and Knowledge Extraction and what is its ISSN?
Machine Learning and Knowledge Extraction is published by Multidisciplinary Digital Publishing Institute (MDPI). Its ISSN is 2504-4990.
Is Machine Learning and Knowledge Extraction in Web of Science?
Yes — indexed in the Emerging Sources Citation Index.
Is Machine Learning and Knowledge Extraction open access?
Yes — it is an open-access journal, listed in DOAJ.
How well cited is Machine Learning and Knowledge Extraction? — open metrics via OpenAlex
Machine Learning and Knowledge Extraction has an h-index of 52 and a 2-year mean of 5.38 citations per paper (OpenAlex). Its Scopus CiteScore is 12.7, quartile Q1. On 2-year citations it ranks #33 of 268 Scopus journals in Engineering (miscellaneous).
Machine Learning and Knowledge Extraction published 175 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.
Who publishes in Machine Learning and Knowledge Extraction? — latest 98 articles, 2026
In its latest 98 research articles (2026), authors are most often from China (8.2%), United States (7.1%) and Spain (7.1%).
Countries are counted fractionally, so a paper by authors from two countries counts half to each.
Are there integrity warnings for Machine Learning and Knowledge Extraction? — indicators, not proof of misconduct
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.
- Scopus statusActive
- Retracted papers None recorded
- Problematic Paper Screener flags None flagged
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.
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