Journal of Big Data

metrics 2024

Empowering Insights Through Big Data Innovation

Introduction

Journal of Big Data, published by SPRINGERNATURE, is a leading academic journal dedicated to advancing the understanding and application of big data technologies and methodologies across various domains. Since its inception in 2014, this Open Access journal has gained recognition for its rigorous peer-reviewed research, boasting impressive rankings in multiple categories in Scopus, including Q1 in Computer Networks and Communications and Q1 in Information Systems. With its impactful contributions, the journal is positioned at the forefront of scholarly work on big data, addressing critical topics such as data analytics, storage, visualization, and applied data science. Its global reach and commitment to disseminating knowledge ensure that researchers, professionals, and students have equitable access to groundbreaking findings that empower advancements in technology and information systems. The Journal of Big Data continues to foster collaboration and inspire new research avenues leading to tangible impacts in the field.

Metrics 2024

SCIMAGO Journal Rank-
Journal Impact Factor8.60
Journal Impact Factor (5 years)12.40
H-Index-
Journal IF Without Self8.60
Eigen Factor0.01
Normal Eigen Factor2.58
Influence2.56
Immediacy Index1.40
Cited Half Life4.10
Citing Half Life5.10
JCI1.62
Total Documents-
WOS Total Citations8362
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, THEORY & METHODS
Rank 8/143
Percentile 94.80
Quartile Q1

JCI (Web Of Science)

COMPUTER SCIENCE, THEORY & METHODS
Rank 14/143
Percentile 90.21
Quartile Q1
COMPUTER SCIENCE, INFORMATION SYSTEMS
Rank N/A
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Rank N/A

Quartile History

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