Theory of Probability and Mathematical Statistics publishes research on stochastic processes, including their theoretical properties and applications. Articles cover topics such as large deviations, stochastic differential equations, semi-Markov processes, and limit theorems. The journal also features work on statistical estimation, random fields, and the analysis of various types of random variables and their distributions.
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.
Statistics and ProbabilityQ4
Statistics, Probability and UncertaintyQ4
Subject Classification
Web of Science Categories
Statistics & Probability
Scopus Categories
Statistics, Probability and UncertaintyStatistics and Probability
Research Topics (OpenAlex)
Stochastic processes and financial applicationsStochastic processes and statistical mechanicsFinancial Risk and Volatility ModelingProbability and Risk Modelsadvanced mathematical theories