Information and Inference-A Journal of the IMA

metrics 2024

Pioneering New Paths in Computational Theory and Application

Introduction

Information and Inference: A Journal of the IMA, published by Oxford University Press, is a leading interdisciplinary journal that spans key domains such as analysis, applied mathematics, computational theory, and statistics. Recognized for its rigorous peer-review process, this journal holds a prestigious Q1 ranking across multiple mathematical categories in the latest 2023 metrics, underscoring its influence and reach within the academic community. With an ISSN of 2049-8764 and an E-ISSN of 2049-8772, the journal aims to foster innovative research and applications in methods of inference and statistical modeling, further enriching the fields it covers. Researchers, professionals, and students alike are encouraged to access cutting-edge studies that drive advancements in theory and practice, contributing significantly to the landscape of contemporary mathematics and computer science. Join the discourse in a journal that not only represents excellence in scholarship but also serves as a vital resource for future developments in information theory and statistical analysis.

Metrics 2024

SCIMAGO Journal Rank-
Journal Impact Factor1.40
Journal Impact Factor (5 years)1.70
H-Index-
Journal IF Without Self1.40
Eigen Factor0.00
Normal Eigen Factor0.57
Influence1.83
Immediacy Index0.10
Cited Half Life4.40
Citing Half Life9.80
JCI0.94
Total Documents-
WOS Total Citations458
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)

MATHEMATICS, APPLIED
Rank 102/331
Percentile 69.30
Quartile Q2

JCI (Web Of Science)

MATHEMATICS, APPLIED
Rank 92/331
Percentile 72.21
Quartile Q2
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank N/A

Quartile History

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