COMPUTER VISION AND IMAGE UNDERSTANDING

metrics 2024

Pioneering Insights in Pattern Recognition

Introduction

COMPUTER VISION AND IMAGE UNDERSTANDING is a leading academic journal published by Academic Press Inc, Elsevier Science, dedicated to the advancement of the fields of computer vision, image understanding, and pattern recognition. Since its inception in 1993, this esteemed publication has garnered a reputation for excellence, achieving a remarkable Q1 ranking in the categories of Computer Vision and Pattern Recognition, Signal Processing, and Software as of 2023. With its robust impact factor and high visibility in the scientific community—ranking #22 out of 106 in Computer Vision and Pattern Recognition and #27 out of 131 in Signal Processing—this journal serves as a vital resource for researchers, professionals, and students looking to explore and contribute to state-of-the-art developments. Although it does not operate under an Open Access model, its rigorous peer-reviewed content ensures quality and relevance in a rapidly evolving technological landscape. The journal’s commitment to fostering innovation makes it an essential tool for anyone engaged in the study and application of computer vision technologies.

Metrics 2024

SCIMAGO Journal Rank1.42
Journal Impact Factor4.30
Journal Impact Factor (5 years)4.90
H-Index152
Journal IF Without Self4.30
Eigen Factor0.01
Normal Eigen Factor1.16
Influence1.29
Immediacy Index0.50
Cited Half Life7.80
Citing Half Life5.10
JCI0.87
Total Documents2507
WOS Total Citations6761
SCIMAGO Total Citations30980
SCIMAGO SELF Citations1071
Scopus Journal Rank1.42
Cites / Document (2 Years)5.48
Cites / Document (3 Years)5.62
Cites / Document (4 Years)6.50

Metrics History

Rank 2024

Scopus

Signal Processing in Computer Science
Rank #27/131
Percentile 79.39
Quartile Q1
Computer Vision and Pattern Recognition in Computer Science
Rank #22/106
Percentile 79.25
Quartile Q1
Software in Computer Science
Rank #88/407
Percentile 78.38
Quartile Q1

IF (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 54/197
Percentile 72.80
Quartile Q2
ENGINEERING, ELECTRICAL & ELECTRONIC
Rank 83/352
Percentile 76.60
Quartile Q1

JCI (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 62/198
Percentile 68.69
Quartile Q2
ENGINEERING, ELECTRICAL & ELECTRONIC
Rank 119/354
Percentile 66.38
Quartile Q2

Quartile History

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