International Journal of Image and Data Fusion

metrics 2024

Transforming Insights Through Advanced Data Fusion Techniques

Introduction

The International Journal of Image and Data Fusion, published by TAYLOR & FRANCIS LTD, is a premier scholarly journal dedicated to the fields of computer science applications and earth and planetary sciences. With an ISSN of 1947-9832 and E-ISSN 1947-9824, this journal offers a unique platform for researchers, professionals, and students interested in the innovative integration of image processing and data fusion techniques. Operating from the United Kingdom, it plays a vital role in advancing knowledge and facilitating discussions in these rapidly developing domains, evidenced by its ranking within the Q3 category for Computer Science Applications and Q2 for Earth and Planetary Sciences in 2023. The journal features rigorous peer-reviewed content that spans from 2010 to 2024, encouraging the dissemination of novel research findings and methodologies. With a notable impact factor and strong Scopus rankings, it remains an essential resource for those seeking to enhance their understanding and application of sophisticated data fusion technologies in their academic or professional work.

Metrics 2024

SCIMAGO Journal Rank0.47
Journal Impact Factor1.80
Journal Impact Factor (5 years)1.70
H-Index33
Journal IF Without Self1.80
Eigen Factor0.00
Normal Eigen Factor0.06
Influence0.31
Immediacy Index0.20
Cited Half Life7.30
Citing Half Life6.70
JCI0.39
Total Documents284
WOS Total Citations418
SCIMAGO Total Citations1651
SCIMAGO SELF Citations106
Scopus Journal Rank0.47
Cites / Document (2 Years)2.05
Cites / Document (3 Years)2.23
Cites / Document (4 Years)2.24

Metrics History

Rank 2024

Scopus

General Earth and Planetary Sciences in Earth and Planetary Sciences
Rank #45/195
Percentile 76.92
Quartile Q1
Computer Science Applications in Computer Science
Rank #312/817
Percentile 61.81
Quartile Q2

IF (Web Of Science)

REMOTE SENSING
Rank 40/62
Percentile 36.30
Quartile Q3

JCI (Web Of Science)

REMOTE SENSING
Rank 40/62
Percentile 35.48
Quartile Q3

Quartile History

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