Probability in the Engineering and Informational Sciences publishes original research papers on the theory and application of probability and stochastic processes in engineering and the informational sciences. The journal covers a wide range of topics, including but not limited to: stochastic modeling, statistical inference, reliability theory, queueing theory, signal processing, control theory, machine learning, and data science. The journal aims to foster interdisciplinary research and collaboration between mathematicians, engineers, and computer scientists.
⚡ Speed vs Prestige
How does this journal balance review speed with impact level?
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Industrial and Manufacturing EngineeringQ2
Management Science and Operations ResearchQ3
Statistics and ProbabilityQ3
Statistics, Probability and UncertaintyQ3
Subject Classification
Web of Science Categories
Engineering, IndustrialOperations Research & Management ScienceStatistics & Probability
Scopus Categories
Industrial and Manufacturing EngineeringStatistics, Probability and UncertaintyManagement Science and Operations ResearchStatistics and Probability
Research Topics (OpenAlex)
Advanced Queuing Theory AnalysisProbability and Risk ModelsStatistical Distribution Estimation and ApplicationsReliability and Maintenance OptimizationSuperconducting Materials and Applications