MACHINE VISION AND APPLICATIONS

metrics 2024

Transforming Insights into Machine Vision Applications.

Introduction

MACHINE VISION AND APPLICATIONS is a distinguished peer-reviewed journal published by SPRINGER, serving as a vital platform for innovative research in the fields of computer vision, pattern recognition, and their applications within hardware and software systems. Since its inception in 1988, the journal has been at the forefront of disseminating cutting-edge findings and advances in machine vision technologies, significantly contributing to the global academic discourse. With an impressive track record, the journal ranks in the Q2 category across various domains in the 2023 Scopus rankings, reflecting its esteemed position in Computer Science Applications, Computer Vision and Pattern Recognition, Hardware and Architecture, and Software. Although it does not currently offer open access options, MACHINE VISION AND APPLICATIONS remains a critical resource for researchers, professionals, and students eager to explore emerging trends and methodologies in the rapidly evolving landscape of machine vision.

Metrics 2024

SCIMAGO Journal Rank0.66
Journal Impact Factor2.40
Journal Impact Factor (5 years)2.60
H-Index77
Journal IF Without Self2.40
Eigen Factor0.00
Normal Eigen Factor0.44
Influence0.53
Immediacy Index0.50
Cited Half Life6.50
Citing Half Life5.40
JCI0.57
Total Documents1622
WOS Total Citations2574
SCIMAGO Total Citations10262
SCIMAGO SELF Citations350
Scopus Journal Rank0.66
Cites / Document (2 Years)3.24
Cites / Document (3 Years)3.48
Cites / Document (4 Years)3.38

Metrics History

Rank 2024

Scopus

Computer Vision and Pattern Recognition in Computer Science
Rank #30/106
Percentile 71.70
Quartile Q2
Computer Science Applications in Computer Science
Rank #235/817
Percentile 71.24
Quartile Q2
Hardware and Architecture in Computer Science
Rank #53/177
Percentile 70.06
Quartile Q2
Software in Computer Science
Rank #130/407
Percentile 68.06
Quartile Q2

IF (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 111/197
Percentile 43.90
Quartile Q3
COMPUTER SCIENCE, CYBERNETICS
Rank 14/32
Percentile 57.80
Quartile Q2
ENGINEERING, ELECTRICAL & ELECTRONIC
Rank 170/352
Percentile 51.80
Quartile Q2

JCI (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 109/198
Percentile 44.95
Quartile Q3
COMPUTER SCIENCE, CYBERNETICS
Rank 10/32
Percentile 68.75
Quartile Q2
ENGINEERING, ELECTRICAL & ELECTRONIC
Rank 168/354
Percentile 52.54
Quartile Q2

Quartile History

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