Journal profile · COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, THEORY & METHODS

Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

ISSN 1942-4787 · eISSN 1942-4795 · John Wiley and Sons Inc. · ENGLAND

Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery: CAS Zone 3 · Computer Science (2025 upgraded edition); impact factor 14.87; hybrid open access; APC about USD 4,480; median 239 days to acceptance (90 articles, last 24 months); community-reported acceptance: easy; 67 articles in 2025; indexed in SCIE and Scopus.

Impact factor14.87Latest value listed by LetPub
CAS zoneZone 3 · Computer Science2025 upgraded edition, major category · 2026 Xinrui edition Zone 2 · Computer Science
Review time239 daysMedian, submission to acceptance · 90 articles, last 24 months · Crossref
APCUSD 4,480Hybrid journal: charged only for open-access articles
AcceptanceEasyCommunity average
Articles per year672025 · OpenAlex count

Scope

Aims, scope and focus

Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery is published by John Wiley and Sons Inc. and is in Zone 3 of Computer Science in the CAS Journal Ranking (2025 upgraded edition). By OpenAlex counts of its recent articles, its largest topics are Data Mining Algorithms and Applications, Data Management and Algorithms and Diverse Scientific and Economic Studies, together about 23% of its articles. Its main subfields are Artificial Intelligence. (generated from OpenAlex topic counts and CAS ranking data)

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. The techniques of data mining and knowledge discovery (DMKD) are now being applied in many areas of business and government, such as banking and finance, market research, risk analysis, and counterterrorism. In the sciences, DMKD has become pervasive in such fields as bioinformatics, medical diagnosis, epidemiology, drug discovery, environmental modeling, and meteorological data analysis.

From the journal's Aims & Scope

Research area (LetPub): COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, THEORY & METHODS

Editor-in-chief Witold PedryczPublisher website

Main research topics OpenAlex counts of recent articles; shares are approximate

  1. Data Mining Algorithms and ApplicationsComputer Science10.8%
  2. Data Management and AlgorithmsComputer Science6.1%
  3. Diverse Scientific and Economic StudiesEconomics, Econometrics and Finance6.1%
  4. Human auditory perception and evaluationEngineering6.1%
  5. Machine Learning and Data ClassificationComputer Science5.8%
  6. Complex Network Analysis TechniquesPhysics and Astronomy4.4%
  7. Advanced Clustering Algorithms ResearchComputer Science4.3%
  8. Topic ModelingComputer Science4.2%

Rankings & indexing

CAS ranking and database indexing

CAS Journal Ranking

CAS Journal Ranking, upgraded edition (March 2025)Computer Science Zone 3
LevelCategoryZone
MajorComputer ScienceZone 3
MinorComputer Science, Theory & MethodsZone 2
MinorComputer Science, Artificial IntelligenceZone 3

Top journal: noReview journal: yes

CAS Xinrui Journal Ranking (March 2026)Computer Science Zone 2
LevelCategoryZone
MajorComputer ScienceZone 2
MinorComputer Science, Artificial IntelligenceZone 2
MinorComputer Science, Theory & MethodsZone 2

Top journal: noReview journal: not marked

CAS Journal Ranking, previous upgraded edition (December 2023)Computer Science Zone 2
LevelCategoryZone
MajorComputer ScienceZone 2
MinorComputer Science, Artificial IntelligenceZone 2
MinorComputer Science, Theory & MethodsZone 2

Top journal: noReview journal: yes

Database indexing

SCIEScopusLetPub

International journal early-warning lists: not listed in any editionLetPub

Indexing the journal's website claims

Web of ScienceDBLPCurrent ContentsPublisher website

Other: ProQuest

As the journal's website lists them, not checked against each database; for Web of Science editions the records above apply.

Editions, and major and minor categories, are shown separately and never merged into one zone; check which edition your institution uses before you submit or report.

Metrics

Impact metrics and publication volume

Impact

Impact factor
14.87LetPub ·
Impact factor (publisher) 2025
15Publisher website ·
CiteScore 2026-06
26.6LetPub ·
CiteScore (publisher) 2025
26.6Publisher website ·
SJR 2026-06
2.56LetPub ·
SNIP 2026-06
4.74LetPub ·
h-index
31LetPub ·
h-index
97OpenAlex ·
i10-index
402OpenAlex ·
2-year mean citedness
7.72OpenAlex ·
Self-citation rate
1.3%LetPub ·
Share of gold OA articles
41.79%LetPub ·

Volume

Articles per year
55LetPub ·
Articles per year (publisher) 2025
57Publisher website ·
Downloads per year (publisher) 2025
493,991Publisher website ·

Articles by year OpenAlex count · 817 in total · the current year is incomplete

YearArticlesOpen accessCitations
20267735129
20256730536
20245632878
202348293,224
202246201,247
202150142,458

Sources count differently and were observed at different times, so each source's own value is kept; "publisher" marks figures from the journal's website.

Review & acceptance

Review time and acceptance

Review time from article dates manuscript dates registered with Crossref · to

239 daysMedian, submission to acceptance · P25–P75 156 days – 321 days

Acceptance to online
median 20 days (90 articles)
Submission to online
median 264 days
Sample
90 articles with submission and acceptance dates (151 in the window); the latest was accepted on

Only articles that were accepted and published are counted, not the time spent on rejected manuscripts, so this usually runs longer than a publisher's "time to first decision".

Other sources

Average review time (community reports)
over 12 weeksLetPub ·
Average acceptance (community reports)
EasyLetPub ·
Acceptance rate (publisher) 2025
56%Publisher website ·
Submission to first decision 2025
63 daysPublisher website ·
Submission to acceptance 2025
211 daysPublisher website ·
Acceptance to publication 2025
20 daysPublisher website ·

Community reports come from authors' own submissions (confidence 0.5) and are not a promise from the journal; for publisher figures, the journal's own definitions apply.

Fees & open access

APC and open-access policy

Hybrid open accessLetPub

A subscription journal in which authors can pay to publish their article open access.

SourceAPCFee waiverLicenseObserved
OpenAlexUSD 4,480 / EUR 3,750 / GBP 3,000——

A hybrid journal charges the APC only when the author chooses open access; publishing under the subscription model is usually free.

The journal's website is authoritative for fees; sources were observed at different times and each keeps its own value, without averaging.

Profile

Publication details and official links

Publisher
John Wiley and Sons Inc.
Country or region
ENGLAND
Language
English
ISSN
1942-4787
Electronic ISSN
1942-4795
Official links

FAQ

Frequently asked questions about Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

What CAS zone is Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery in?

In the 2025 upgraded edition of the CAS Journal Ranking, Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery is in Zone 3 of Computer Science, and in Zone 2 of the minor category Computer Science, Theory & Methods / Computer Science, Artificial Intelligence. In the 2026 Xinrui edition it is in Zone 2 of Computer Science. Zones from different editions, and from major and minor categories, are not interchangeable.

What is the impact factor of Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery?

The latest impact factor listed by LetPub is 14.87; CiteScore 26.6, h-index 97.

How long does peer review take at Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery?

Based on the dates recorded on 90 articles published between October 2024 and October 2026 (the last 24 months), the median time from submission to acceptance is 239 days (interquartile range 156–321 days); authors report an average review time of over 12 weeks; the community-reported acceptance is “Easy”; the journal's website gives an acceptance rate of 56% (2025). Article statistics cover accepted papers only, publisher figures follow the journal's own definitions, and community reports come from authors' own submissions; none is a promise from the journal.

Which databases index Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery?

According to LetPub and DOAJ records, Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery is indexed in SCIE and Scopus. The journal's website also lists Web of Science, DBLP and Current Contents; that list has not been checked against each database.

Is Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery open access, and what is the APC?

Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery is a hybrid journal. For open-access publication: APC about USD 4,480.

Sources and updates

The facts on this page come from LetPub, Publisher website, OpenAlex; every figure is tagged with its source and the date it was observed, and conflicting values are kept per source. LetPub source page: view ↗ (archived 2026-08-26). Last updated: .