Swarm and Evolutionary Computation

metrics 2024

Advancing Algorithms for a Smarter Future.

Introduction

Swarm and Evolutionary Computation is an esteemed academic journal published by Elsevier, dedicated to the exploration of innovative algorithms and methodologies derived from principles of swarm intelligence and evolutionary computation. With its ISSN 2210-6502 and E-ISSN 2210-6510, this journal has earned a prominent position in the field, evidenced by its Q1 category rankings in both Computer Science and Mathematics for 2023, reflecting its high impact and relevance. The journal's Scopus rankings further underscore its significance, placing it in the top percentile of mathematics and computer science journals. As an open-access platform, it aims to disseminate groundbreaking research that addresses real-world challenges and fosters interdisciplinary collaboration. Researchers, professionals, and students are encouraged to engage with this journal to contribute to and benefit from the ongoing advancements in swarm intelligence and evolutionary methods, which have become instrumental in solving complex optimization problems across diverse fields.

Metrics 2024

SCIMAGO Journal Rank2.27
Journal Impact Factor8.20
Journal Impact Factor (5 years)8.40
H-Index98
Journal IF Without Self8.20
Eigen Factor0.01
Normal Eigen Factor2.25
Influence1.72
Immediacy Index2.00
Cited Half Life4.30
Citing Half Life6.10
JCI1.95
Total Documents1150
WOS Total Citations8900
SCIMAGO Total Citations23526
SCIMAGO SELF Citations1989
Scopus Journal Rank2.27
Cites / Document (2 Years)9.04
Cites / Document (3 Years)9.78
Cites / Document (4 Years)10.37

Metrics History

Rank 2024

Scopus

General Mathematics in Mathematics
Rank #3/399
Percentile 99.25
Quartile Q1
General Computer Science in Computer Science
Rank #11/232
Percentile 95.26
Quartile Q1

IF (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 19/197
Percentile 90.60
Quartile Q1
COMPUTER SCIENCE, THEORY & METHODS
Rank 9/143
Percentile 94.10
Quartile Q1

JCI (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 19/198
Percentile 90.40
Quartile Q1
COMPUTER SCIENCE, THEORY & METHODS
Rank 9/143
Percentile 93.71
Quartile Q1

Quartile History

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