Information Fusion

metrics 2024

Advancing the Frontiers of Knowledge in Information Systems.

Introduction

Information Fusion is a premier journal published by Elsevier, specializing in cutting-edge research within the fields of hardware and architecture, information systems, signal processing, and software. With a significant impact factor, it remains at the forefront of academic discourse, boasting a remarkable Q1 ranking in each of its categories in 2023, which underscores its critical role in advancing knowledge and innovation in these domains. The journal, with ISSN: 1566-2535 and E-ISSN: 1872-6305, is dedicated to fostering collaboration and the dissemination of research findings that drive technological advancements and improve system efficiencies. Researchers, professionals, and students alike will find a wealth of valuable insights into emerging methodologies, trends, and applications. Designed to bridge the gap between theory and practice, Information Fusion invites contributions that enrich the academic landscape and provoke engaged discussions among the scholarly community.

Metrics 2024

SCIMAGO Journal Rank5.65
Journal Impact Factor14.70
Journal Impact Factor (5 years)16.10
H-Index156
Journal IF Without Self14.70
Eigen Factor0.03
Normal Eigen Factor5.77
Influence3.81
Immediacy Index2.70
Cited Half Life3.40
Citing Half Life4.30
JCI3.42
Total Documents1862
WOS Total Citations18618
SCIMAGO Total Citations49751
SCIMAGO SELF Citations2835
Scopus Journal Rank5.65
Cites / Document (2 Years)20.93
Cites / Document (3 Years)24.68
Cites / Document (4 Years)23.40

Metrics History

Rank 2024

Scopus

Hardware and Architecture in Computer Science
Rank #1/177
Percentile 99.44
Quartile Q1
Signal Processing in Computer Science
Rank #1/131
Percentile 99.24
Quartile Q1
Information Systems in Computer Science
Rank #4/394
Percentile 98.98
Quartile Q1
Software in Computer Science
Rank #5/407
Percentile 98.77
Quartile Q1

IF (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 4/197
Percentile 98.20
Quartile Q1
COMPUTER SCIENCE, THEORY & METHODS
Rank 2/143
Percentile 99.00
Quartile Q1

JCI (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 5/198
Percentile 97.47
Quartile Q1
COMPUTER SCIENCE, THEORY & METHODS
Rank 3/143
Percentile 97.90
Quartile Q1

Quartile History

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