Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

metrics 2024

Pioneering innovative methodologies for a data-driven world.

Introduction

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is a premier journal published by WILEY PERIODICALS, INC, dedicated to the rapidly evolving fields of data mining and knowledge discovery. Since its inception in 2011, this journal has emerged as a vital resource for researchers and practitioners alike, boasting an impressive Q1 ranking in the field of Computer Science (miscellaneous) as of 2023, and is recognized for achieving a remarkable 98th percentile in Scopus rankings. The journal aims to disseminate high-quality, interdisciplinary research that addresses the theoretical and practical implications of data mining techniques, innovative algorithms, and knowledge discovery paradigms. With a commitment to fostering knowledge exchange among academia and industry, Wiley Interdisciplinary Reviews is essential for those looking to remain at the forefront of data science advancements. Researchers and professionals will find relevant discussions, cutting-edge methodologies, and comprehensive reviews that contribute significantly to the field's development.

Metrics 2024

SCIMAGO Journal Rank2.15
Journal Impact Factor6.40
Journal Impact Factor (5 years)12.50
H-Index69
Journal IF Without Self6.40
Eigen Factor0.01
Normal Eigen Factor1.15
Influence2.98
Immediacy Index2.50
Cited Half Life5.30
Citing Half Life5.00
JCI0.73
Total Documents442
WOS Total Citations4096
SCIMAGO Total Citations9264
SCIMAGO SELF Citations174
Scopus Journal Rank2.15
Cites / Document (2 Years)9.05
Cites / Document (3 Years)11.28
Cites / Document (4 Years)13.38

Metrics History

Rank 2024

Scopus

General Computer Science in Computer Science
Rank #5/232
Percentile 97.84
Quartile Q1

IF (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 34/197
Percentile 83.00
Quartile Q1
COMPUTER SCIENCE, THEORY & METHODS
Rank 12/143
Percentile 92.00
Quartile Q1

JCI (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 77/198
Percentile 61.11
Quartile Q2
COMPUTER SCIENCE, THEORY & METHODS
Rank 50/143
Percentile 65.03
Quartile Q2

Quartile History

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