Probability in the Engineering and Informational Sciences
Cambridge University Press
United Kingdom
journal
SJR by Edition
Subject Categories
- Industrial and Manufacturing EngineeringQ2
- Management Science and Operations ResearchQ3
- Statistics and ProbabilityQ3
- Statistics, Probability and UncertaintyQ3
Areas: Decision Sciences · Engineering · Mathematics
Most published research topics
Source: OpenAlex
Publication Statistics
Documents per Year
Detailed Information
ISSN
0269-9648, 1469-8951
SJR Best Quartile
Q2
Region
Western Europe
Citations per Document (2 years)
0.84
References per Document
33.07
Coverage
1987-2026
Scope
The primary focus of the journal is on stochastic modelling in the physical and engineering sciences, with particular emphasis on queueing theory, reliability theory, inventory theory, simulation, mathematical finance and probabilistic networks and graphs. Papers on analytic properties and related disciplines are also considered, as well as more general papers on applied and computational probability, if appropriate. Readers include academics working in statistics, operations research, computer science, engineering, management science and physical sciences as well as industrial practitioners engaged in telecommunications, computer science, financial engineering, operations research and management science.
Metrics from SCImago Journal Rank 2025. View on SCImago