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Home › Data Mining and Knowledge Discovery

Data Mining and Knowledge Discovery

Q1 Journal Scopus Active Journal
Country
Netherlands
Western Europe
Subject Area and Category
Computer Science
└ Computer Networks and Communications Q1
└ Computer Science Applications Q1
└ Information Systems Q1
SJR 2025
1.200
Q1
SJR Score
H-Index
131
Citations / Doc (2yr)
6.52
Total Docs. (latest)
89
Total Citations (3yr)
1,740
Publication type
Journals
ISSN
13845810, 1573756X
Coverage
1997-2026
Journal Rank
#3,630
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Subject Categories

Computer Networks and Communications Q1
Computer Science Applications Q1
Information Systems Q1

Subject Areas

Aims & Scope

Advances in data gathering, storage, and distribution have created a need for computational tools and techniques to aid in data analysis. Data Mining and Knowledge Discovery in Databases (KDD) is a rapidly growing area of research and application that builds on techniques and theories from many fields, including statistics, databases, pattern recognition and learning, data visualization, uncertainty modelling, data warehousing and OLAP, optimization, and high performance computing.

Abstracting & Indexing

Scopus Google Scholar Web of Science

Detailed Metrics

Total Docs. (latest) 89
Total Docs. (3 years) 268
Total Refs. 4,772
Total Citations (3 years) 1,740
Citable Docs. (3 years) 267
Citations / Doc. (2 years) 6.52
Ref. / Doc. 53.62
% Female 23.7%

Metrics Visualization

Latest year data vs 3-year cumulative figures

Publication & Citation Trend

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Top 10 Most Cited Articles

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Frequently Asked Questions

What is the impact factor of Data Mining and Knowledge Discovery?

The official Journal Impact Factor (JIF) is published by Clarivate in the Journal Citation Reports (JCR) and is not listed on this page. Based on SCImago data, Data Mining and Knowledge Discovery has an SJR of 1.200 and is ranked Q1.

What is the SJR and quartile of Data Mining and Knowledge Discovery?

Data Mining and Knowledge Discovery has an SJR (SCImago Journal Rank) of 1.200 and its best quartile is Q1.

What is the H-index of Data Mining and Knowledge Discovery?

The H-index of Data Mining and Knowledge Discovery is 131, meaning 131 of its articles have each been cited at least 131 times.

Is Data Mining and Knowledge Discovery indexed in Scopus?

Yes. Data Mining and Knowledge Discovery is active in Scopus (Scopus Source List, August 2026).

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Journal Information

SJR1.200
Best QuartileQ1
H Index131
ISSN13845810, 1573756X
PublisherSpringer Netherlands
CountryNetherlands
RegionWestern Europe
Coverage1997-2026
Open AccessNo
TypeJournal
Rank#3,630

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