Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Q1 Journal
Journal
Country
United States
Northern America
Subject Area and Category
Computer Science
└
Computer Science (miscellaneous)
Q1
Publisher
SJR 2025
2.556
Q1
SJR Score
H-Index
89
Citations / Doc (2yr)
23.45
Total Docs. (latest)
63
Total Citations (3yr)
2,391
Publication type
Journals
ISSN
19424795, 19424787
Coverage
2011-2026
Journal Rank
#937
Subject Categories
Computer Science (miscellaneous)
Q1
Subject Areas
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.
Abstracting & Indexing
Scopus
Google Scholar
Web of Science
Detailed Metrics
| Total Docs. (latest) | 63 |
| Total Docs. (3 years) | 120 |
| Total Refs. | 8,523 |
| Total Citations (3 years) | 2,391 |
| Citable Docs. (3 years) | 120 |
| Citations / Doc. (2 years) | 23.45 |
| Ref. / Doc. | 135.29 |
| % Female | 31.5% |
Metrics Visualization
Latest year data vs 3-year cumulative figures
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Top 10 Most Cited Articles
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