Information and Inference

SJR Rank #2,689H-index: 37SJR: 1.416Best quartile: Q1APC: US$3,718
Journal website: aims, scope and author guidelines
Publisher

Oxford University Press

Country

United States

Type

journal

SJR by Edition

2022202500.40.81.21.6

Subject Categories

  • AnalysisQ1
  • Applied MathematicsQ1
  • Computational Theory and MathematicsQ1
  • Numerical AnalysisQ1
  • Statistics and ProbabilityQ1

Areas: Computer Science · Mathematics

Most published research topics

Sparse and Compressive Sensing TechniquesStatistical Methods and InferenceStochastic Gradient Optimization TechniquesBlind Source Separation TechniquesImage and Signal Denoising MethodsMarkov Chains and Monte Carlo MethodsBayesian Methods and Mixture ModelsMicrowave Imaging and Scattering AnalysisRandom Matrices and ApplicationsMachine Learning and Algorithms

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs04080120160

Documents per Year

20222025010203040

Detailed Information

ISSN

2049-8772

SJR Best Quartile

Q1

Region

Northern America

Citations per Document (2 years)

1.91

References per Document

49.81

Coverage

2012-2026

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.

Metrics from SCImago Journal Rank 2025. View on SCImago