Natural Computing

metrics 2024

Advancing Knowledge in Nature-Inspired Algorithms

Introduction

Natural Computing is a leading peer-reviewed journal published by Springer, focusing on the interdisciplinary study of natural computation methods and their applications across various domains. With an ISSN of 1567-7818 and an E-ISSN of 1572-9796, this journal has established itself as vital in the field of Computer Science Applications, as reflected in its esteemed Q2 quartile ranking and a Scopus rank of #358 among 817 journals, placing it in the 56th percentile. Based in the Netherlands, Natural Computing covers a diverse range of topics, including computational models inspired by natural systems, evolutionary algorithms, and swarm intelligence. Seeking to bridge the gap between theoretical research and practical applications, this journal serves researchers, professionals, and students by providing insights and advancements in the field. With a commitment to fostering innovation, Natural Computing aims to push the boundaries of understanding in computational methods inspired by nature, making it an essential resource for those looking to contribute to and stay updated within this dynamic area.

Metrics 2024

SCIMAGO Journal Rank0.58
Journal Impact Factor1.70
Journal Impact Factor (5 years)1.70
H-Index46
Journal IF Without Self1.70
Eigen Factor0.00
Normal Eigen Factor0.29
Influence0.55
Immediacy Index0.20
Cited Half Life6.00
Citing Half Life12.30
JCI0.36
Total Documents1011
WOS Total Citations986
SCIMAGO Total Citations4078
SCIMAGO SELF Citations160
Scopus Journal Rank0.58
Cites / Document (2 Years)2.27
Cites / Document (3 Years)2.06
Cites / Document (4 Years)1.82

Metrics History

Rank 2024

Scopus

Computer Science Applications in Computer Science
Rank #358/817
Percentile 56.18
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 149/198
Percentile 24.75
Quartile Q4
COMPUTER SCIENCE, THEORY & METHODS
Rank 90/143
Percentile 37.06
Quartile Q3

Quartile History

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