Random Structures and Algorithms

SJR Rank #5,446H-index: 76SJR: 0.938Best quartile: Q1APC: US$4,550
Journal website: aims, scope and author guidelines
Publisher

John Wiley and Sons Ltd

Country

United Kingdom

Type

journal

SJR by Edition

2022202500.350.71.051.4

Subject Categories

  • Applied MathematicsQ1
  • Computer Graphics and Computer-Aided DesignQ1
  • Mathematics (miscellaneous)Q1
  • SoftwareQ1

Areas: Computer Science · Mathematics

Most published research topics

Limits and Structures in Graph TheoryStochastic processes and statistical mechanicsAdvanced Graph Theory ResearchMarkov Chains and Monte Carlo MethodsGraph theory and applicationsComplexity and Algorithms in GraphsComplex Network Analysis TechniquesRandom Matrices and ApplicationsAlgorithms and Data CompressionBayesian Methods and Mixture Models

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs050100150200

Documents per Year

202220250255075100

Detailed Information

ISSN

1042-9832, 1098-2418

SJR Best Quartile

Q1

Region

Western Europe

Citations per Document (2 years)

1.18

References per Document

31.24

Coverage

1990-2026

Scope

It is the aim of this journal to meet two main objectives: to cover the latest research on discrete random structures, and to present applications of such research to problems in combinatorics and computer science. The goal is to provide a natural home for a significant body of current research, and a useful forum for ideas on future studies in randomness. Results concerning random graphs, hypergraphs, matroids, trees, mappings, permutations, matrices, sets and orders, as well as stochastic graph processes and networks are presented with particular emphasis on the use of probabilistic methods in combinatorics as developed by Paul Erdõs. The journal focuses on probabilistic algorithms, average case analysis of deterministic algorithms, and applications of probabilistic methods to cryptography, data structures, searching and sorting. The journal also devotes space to such areas of probability theory as percolation, random walks and combinatorial aspects of probability.

Metrics from SCImago Journal Rank 2025. View on SCImago