Japanese Journal of Statistics and Data Science is an international forum publishing original articles in statistical theories and diverse fields related to data science. Provides coverage spanning all aspects of the discipline of statistics. Successor of the Journal of the Japan Statistical Society and the Journal of the Japanese Society of Computational Statistics. An official journal of the Japanese Federation of Statistical Science Associations. Combines traditional statistical science and relatively new data science. Promotes and extends the use of statistics in science.
⚡ 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.
Computational Theory and MathematicsQ2
Statistics and ProbabilityQ2
Subject Classification
Web of Science Categories
Statistics & Probability
Scopus Categories
Computational Theory and MathematicsStatistics and Probability
Research Topics (OpenAlex)
Statistical Methods and InferenceStatistical Methods and Bayesian InferenceStatistical Distribution Estimation and ApplicationsAdvanced Statistical Methods and ModelsBayesian Methods and Mixture ModelsFinancial Risk and Volatility ModelingProbabilistic and Robust Engineering DesignSpatial and Panel Data AnalysisProbability and Risk ModelsStochastic processes and financial applications