Genetic Programming and Evolvable Machines

metrics 2024

Shaping Tomorrow's AI through Evolutionary Insights

Introduction

Genetic Programming and Evolvable Machines, published by SPRINGER, is a leading journal dedicated to the fields of genetic algorithms, evolutionary computation, and machine learning. With an ISSN of 1389-2576 and an E-ISSN of 1573-7632, this esteemed journal encompasses original research articles, reviews, and applications that explore the intricate relationships between intelligent systems and evolutionary processes. As of 2023, it holds a notable Q2 ranking in various categories including Computer Science Applications and Hardware and Architecture, reflecting its significant impact in advancing knowledge and methodologies within these domains. The journal's metrics, including a top rank of #31/130 in Theoretical Computer Science, signify its relevance and contribution to the broader academic community. Though not open access, papers published in the journal continue to serve as critical resources for both researchers and practitioners, promoting innovative methodologies and solutions. Covering a broad scope with a convergence extending from 2003 to 2024, this journal remains a pivotal platform for sharing cutting-edge research that shapes the future of artificial intelligence and computational theory.

Metrics 2024

SCIMAGO Journal Rank0.55
Journal Impact Factor1.70
Journal Impact Factor (5 years)2.80
H-Index44
Journal IF Without Self1.70
Eigen Factor0.00
Normal Eigen Factor0.10
Influence0.57
Immediacy Index0.10
Cited Half Life9.20
Citing Half Life12.20
JCI0.48
Total Documents440
WOS Total Citations713
SCIMAGO Total Citations2752
SCIMAGO SELF Citations139
Scopus Journal Rank0.55
Cites / Document (2 Years)1.89
Cites / Document (3 Years)2.34
Cites / Document (4 Years)2.54

Metrics History

Rank 2024

Scopus

Theoretical Computer Science in Mathematics
Rank #31/130
Percentile 76.15
Quartile Q1
Computer Science Applications in Computer Science
Rank #252/817
Percentile 69.16
Quartile Q2
Hardware and Architecture in Computer Science
Rank #57/177
Percentile 67.80
Quartile Q2
Software in Computer Science
Rank #140/407
Percentile 65.60
Quartile Q2

IF (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 143/197
Percentile 27.70
Quartile Q3
COMPUTER SCIENCE, THEORY & METHODS
Rank 64/143
Percentile 55.60
Quartile Q2

JCI (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 126/198
Percentile 36.36
Quartile Q3
COMPUTER SCIENCE, THEORY & METHODS
Rank 75/143
Percentile 47.55
Quartile Q3

Quartile History

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