Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
Impact Factor Trend (2018–2026)
Clarivate IF trend for Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
SCImago Journal Rank citation prestige weighting
89 papers with at least that number of citations each
Aims & Scope
The objectives of WIREs DMKD are to (a) present the current state of the art of data mining and knowledge discovery through an ongoing series of reviews written by leading researchers, (b) capture the crucial interdisciplinary flavor of the field by including articles that address the key topics from the differing perspectives of data mining and knowledge discovery, including a variety of application areas in technology, business, healthcare, education, government and society and culture, (c) capture the rapid development of data mining and knowledge discovery through a systematic program of content updates, and (d) encourage active participation in this field by presenting its achievements and challenges in an accessible way to a broad audience. The content of WIREs DMKD will be useful to upper-level undergraduate and postgraduate students, to teaching and research professors in academic programs, and to scientists and research managers in industry.
Special Issues
Calls for PapersNo active Calls for Papers found for this journal.
WoS Categories & Quartiles
Detailed JCR / JCI category rankings and quartile breakdown from Clarivate
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
COMPUTER SCIENCE, THEORY & METHODS
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
COMPUTER SCIENCE, THEORY & METHODS
Annual Historical Statistics & Publications
Track annual publication volume, total citations, and Impact Factor evolution
SCImago & Scopus Journal Intelligence
Global SCImago ranking, SJR prestige index, Scopus coverage, and societal policy impact
Weighted prestige citation metric per document indexed in the Scopus database.
Average citations received per document published in the 2-year window.
Estimated Article Processing Charge for Open Access publication.
Scopus 3-Year Publication & Citation Window
Aggregated from Scopus database across the 3-year SJR evaluation window.
Societal Impact & Inclusivity (SCImago)
Citations in government and international policy documents
Percentage of female authors published in the journal
Real-world societal policy reach and author gender diversity tracked by SCImago.
Scopus Subject Categories
Journal Metrics & Citation Visualizations
Total Cites vs Self-Cites
Evaluation of scholarly independence and citation reach
Citations per Document
Citation metric windows across 2, 3, and 4 years
Chinese Academy of Sciences (CAS) Classification
Major / minor zone classification and CAS Early Warning List history
Academic Intelligence Overview & Context
ImpaQ AnalysisWiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery (abbr: WIRES DATA MIN KNOWL, ISSN: 1942-4787) is a peer-reviewed international scholarly journal in the field of COMPUTER SCIENCE, published by John Wiley and Sons Inc. in England. The periodical holds a Journal Impact Factor (JIF) of 15.0, ranking in quartile Q1 of Web of Science (SCIE), a Scopus SJR indicator of 2.556 (Q1), an H-index of 89.
The journal enforces rigorous peer evaluation with an annual output of approximately 40 scientific articles. In terms of accessibility and author fees, it operates under the Hybrid model with an estimated APC of $3,921 USD. It serves as a benchmark publication platform for academics, researchers, and doctoral candidates seeking global research visibility.
Publishing & Editorial Information
Detailed publisher, peer-review turnaround, and publication cycle specifications
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