Machine Intelligence Research

metrics 2024

Driving Knowledge Forward in Machine Intelligence

Introduction

Machine Intelligence Research is a premier academic journal published by SPRINGERNATURE, dedicated to advancing knowledge in the rapidly evolving fields of Artificial Intelligence, Applied Mathematics, and more. With its ISSN 2731-538X and E-ISSN 2731-5398, the journal is recognized for its impact, holding a distinguished position in various Q1 categories for 2023, including Computer Vision and Pattern Recognition and Control and Systems Engineering. Operating under an Open Access model, it ensures that groundbreaking research from China and around the world remains accessible to a global audience, promoting collaboration and innovation. As a beacon for researchers, professionals, and students, Machine Intelligence Research aims to disseminate high-quality research findings, innovative methodologies, and influential theories, thereby shaping the future landscapes of science and technology.

Metrics 2024

SCIMAGO Journal Rank1.68
Journal Impact Factor6.40
Journal Impact Factor (5 years)6.40
H-Index11
Journal IF Without Self6.40
Eigen Factor0.00
Normal Eigen Factor0.13
Influence2.18
Immediacy Index2.50
Cited Half Life1.20
Citing Half Life4.60
JCI1.32
Total Documents93
WOS Total Citations354
SCIMAGO Total Citations237
SCIMAGO SELF Citations24
Scopus Journal Rank1.68
Cites / Document (2 Years)6.97
Cites / Document (3 Years)6.97
Cites / Document (4 Years)6.97

Metrics History

Rank 2024

Scopus

Applied Mathematics in Mathematics
Rank #54/635
Percentile 91.50
Quartile Q1
Modeling and Simulation in Mathematics
Rank #42/324
Percentile 87.04
Quartile Q1
Control and Systems Engineering in Engineering
Rank #78/321
Percentile 75.70
Quartile Q1
Computer Networks and Communications in Computer Science
Rank #99/395
Percentile 74.94
Quartile Q2
Computer Science Applications in Computer Science
Rank #211/817
Percentile 74.17
Quartile Q2
Signal Processing in Computer Science
Rank #35/131
Percentile 73.28
Quartile Q2
Computer Vision and Pattern Recognition in Computer Science
Rank #29/106
Percentile 72.64
Quartile Q2
Artificial Intelligence in Computer Science
Rank #115/350
Percentile 67.14
Quartile Q2

IF (Web Of Science)

AUTOMATION & CONTROL SYSTEMS
Rank 10/84
Percentile 88.70
Quartile Q1
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 34/197
Percentile 83.00
Quartile Q1

JCI (Web Of Science)

AUTOMATION & CONTROL SYSTEMS
Rank 12/84
Percentile 85.71
Quartile Q1
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 36/198
Percentile 81.82
Quartile Q1

Quartile History

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