Nature Machine Intelligence

metrics 2024

Unveiling Innovations in Machine Intelligence

Introduction

Nature Machine Intelligence, published by NATURE PORTFOLIO, is an esteemed academic journal that significantly contributes to the fields of Artificial Intelligence, Computer Vision, Human-Computer Interaction, and Software Engineering. Launched in 2019, this journal has swiftly ascended to prominence, holding Q1 status across multiple categories in the 2023 Scopus rankings, highlighting its rigorous peer-review process and high-quality research output. With an impressive 99th percentile ranking in key area categories such as Computer Networks and Communications, it has established itself as a vital platform for disseminating innovative research and fostering scientific dialogue among scholars and professionals. Although the journal is not open access, it provides a wealth of information to its audience, making it essential for those engaged in cutting-edge research and development. Academic institutions, researchers, and industry professionals can rely on Nature Machine Intelligence for the latest advances and methodologies in artificial intelligence-driven technologies.

Metrics 2024

SCIMAGO Journal Rank-
Journal Impact Factor18.80
Journal Impact Factor (5 years)26.40
H-Index-
Journal IF Without Self18.80
Eigen Factor0.03
Normal Eigen Factor6.33
Influence9.87
Immediacy Index3.20
Cited Half Life3.10
Citing Half Life4.50
JCI3.62
Total Documents-
WOS Total Citations9760
SCIMAGO Total Citations-
SCIMAGO SELF Citations-
Scopus Journal Rank-
Cites / Document (2 Years)-
Cites / Document (3 Years)-
Cites / Document (4 Years)-

Metrics History

Rank 2024

IF (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 3/197
Percentile 98.70
Quartile Q1
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Rank 1/169
Percentile 99.70
Quartile Q1

JCI (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 4/198
Percentile 97.98
Quartile Q1
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Rank 2/169
Percentile 98.82
Quartile Q1

Quartile History

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