Information and Inference
Published by Oxford University Press
eISSN : 2049-8772
Abbreviation : Inf. Inference
Aims & Scope
Information and Inference: a Journal of the IMA aims to publish high quality mathematically-oriented articles, furthering the understanding of the theory, methods of analysis, and algorithms for information and data.
Articles should be written in a way accessible to researchers in the associated topics in pure and applied mathematics, statistics, computer sciences, and electrical engineering.
Articles are published in, but not limited to: information theory, statistical inference, network analysis, numerical analysis, learning theory, applied and computational harmonic analysis, probability, combinatorics, signal processing, and high-dimensional geometry.
View Aims & ScopeMetrics & Ranking
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 1.220 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q1 |
h-index
| Year | Value |
|---|---|
| 2024 | 33 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 3454 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 298 |
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Mathematics, designed to support cutting-edge academic discovery.