International Journal on Document Analysis and Recognition

metrics 2024

Unlocking Innovations in Document Recognition

Introduction

International Journal on Document Analysis and Recognition (IJDAR), published by Springer Heidelberg, stands at the forefront of research and advancements in the field of document analysis, computer vision, and pattern recognition. With its ISSN 1433-2833 and E-ISSN 1433-2825, the journal is an essential resource for researchers and practitioners focusing on innovations in automatic document processing, image analysis, and artificial intelligence applications in document retrieval and recognition. Recognized as a Q1 journal in multiple relevant categories, including Computer Science Applications, Computer Vision and Pattern Recognition, and Software, IJDAR boasts impressive Scopus rankings that position it among the top-tier publications in these domains. The journal’s converged publication years from 1998 to 2024 offer a rich repository of knowledge essential for both theoretical and practical advancements, ensuring that researchers, professionals, and students can keep pace with the latest findings and methodologies. Access options may vary, but the journal continuously strives to facilitate the dissemination of high-quality research that contributes significantly to the academic discourse in document analysis and recognition.

Metrics 2024

SCIMAGO Journal Rank1.41
Journal Impact Factor1.80
Journal Impact Factor (5 years)2.40
H-Index59
Journal IF Without Self1.80
Eigen Factor0.00
Normal Eigen Factor0.13
Influence0.56
Immediacy Index0.30
Cited Half Life8.20
Citing Half Life6.10
JCI0.38
Total Documents557
WOS Total Citations683
SCIMAGO Total Citations3732
SCIMAGO SELF Citations208
Scopus Journal Rank1.41
Cites / Document (2 Years)3.26
Cites / Document (3 Years)3.77
Cites / Document (4 Years)3.97

Metrics History

Rank 2024

Scopus

Computer Vision and Pattern Recognition in Computer Science
Rank #31/106
Percentile 70.75
Quartile Q2
Computer Science Applications in Computer Science
Rank #238/817
Percentile 70.87
Quartile Q2
Software in Computer Science
Rank #131/407
Percentile 67.81
Quartile Q2

IF (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 136/197
Percentile 31.20
Quartile Q3

JCI (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 144/198
Percentile 27.27
Quartile Q3

Quartile History

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