Journal of Statistical Theory and Practice is a broad-based journal that publishes original research and reviews in statistical sciences. Submission of original research papers, significant review articles, and book reviews are encouraged. Publishes editorials on 'Life and Works' of eminent scholars. Regularly publishes special issues on targeted topics. Covers all traditional topics in statistical theory and applications. Also publishes articles in the field of data sciences including machine learning.
⚡ 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.
Statistics and ProbabilityQ3
Subject Classification
Web of Science Categories
Statistics & Probability
Scopus Categories
Statistics and Probability
Research Topics (OpenAlex)
Statistical Methods and InferenceStatistical Distribution Estimation and ApplicationsStatistical Methods and Bayesian InferenceAdvanced Statistical Methods and ModelsOptimal Experimental Design MethodsBayesian Methods and Mixture ModelsStatistical Methods in Clinical TrialsFinancial Risk and Volatility ModelingProbabilistic and Robust Engineering DesignSurvey Sampling and Estimation Techniques