Machine Learning-Science and Technology

metrics 2024

Unlocking the potential of machine learning for a smarter future.

Introduction

Machine Learning-Science and Technology is a premier open-access journal published by IOP Publishing Ltd, dedicated to advancing the field of artificial intelligence, human-computer interaction, and software development. Since its inception in 2020, this innovative journal has established itself as a critical resource for researchers, professionals, and students alike, achieving a commendable Q1 ranking across multiple categories in 2023. With an impressive Scopus ranking—#70 out of 407 in Computer Science Software, #26 out of 145 in Human-Computer Interaction, and #73 out of 350 in Artificial Intelligence—it provides a platform for cutting-edge research and significant advancements in machine learning technologies. Accessibility as an open-access journal since its launch ensures that the latest findings are freely available to a broader audience, fostering collaboration and knowledge-sharing within the scientific community. The journal aims to cover a wide spectrum of topics within its scope, encouraging submissions that push the boundaries of what is possible in machine learning applications. By fostering an environment of innovation, Machine Learning-Science and Technology stands at the forefront of this rapidly evolving field, shaping the future of technology and its interaction with society.

Metrics 2024

SCIMAGO Journal Rank-
Journal Impact Factor6.30
Journal Impact Factor (5 years)6.40
H-Index-
Journal IF Without Self6.30
Eigen Factor0.01
Normal Eigen Factor1.22
Influence2.15
Immediacy Index0.70
Cited Half Life2.40
Citing Half Life5.20
JCI1.16
Total Documents-
WOS Total Citations2161
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 36/197
Percentile 82.00
Quartile Q1
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Rank 23/169
Percentile 86.70
Quartile Q1
MULTIDISCIPLINARY SCIENCES
Rank 15/134
Percentile 89.20
Quartile Q1

JCI (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 43/198
Percentile 78.28
Quartile Q1
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Rank 40/169
Percentile 76.33
Quartile Q1
MULTIDISCIPLINARY SCIENCES
Rank 21/135
Percentile 84.44
Quartile Q1

Quartile History

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