International Journal of Applied Pattern Recognition

metrics 2024

Advancing knowledge through innovative methodologies.

Introduction

International Journal of Applied Pattern Recognition, published by INDERSCIENCE ENTERPRISES LTD, is a leading peer-reviewed journal that delves into the intricate world of pattern recognition and its applications across various domains, including computer vision, machine learning, and data mining. With its ISSN 2049-887X and E-ISSN 2049-8888, the journal aims to foster academic dialogue and present cutting-edge research that bridges theory and practice. As a vital resource for researchers, professionals, and students in the field, the journal emphasizes innovative methodologies, practical implementations, and interdisciplinary collaborations. Although it does not follow an open access model, contributions to the journal are rigorously vetted to ensure the highest quality of published work. By focusing on real-world applications and advancements in pattern recognition, the International Journal of Applied Pattern Recognition stands out as a key publication that not only informs but also inspires significant progress in the field.

Metrics 2024

SCIMAGO Journal Rank-
Journal Impact Factor1.10
Journal Impact Factor (5 years)0.80
H-Index-
Journal IF Without Self1.10
Eigen Factor0.00
Normal Eigen Factor0.01
Influence0.11
Immediacy Index0.30
Cited Half Life7.40
Citing Half Life11.90
JCI0.17
Total Documents-
WOS Total Citations149
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 167/197
Percentile 15.50
Quartile Q4

JCI (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 179/198
Percentile 9.60
Quartile Q4

Quartile History

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