Overview
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.
- Editor-in-Chief
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- Hiroki Masuda
- Impact factor
- 1.1 (2023)
- 5 year impact factor
- 1.0 (2023)
- Submission to first decision (median)
- 9 days
- Downloads
- 92,795 (2023)
Societies and partnerships
Latest issue
June 2024 |Supported by JSPS KAKENHI Grant Number JP19HP2005. Including a Special Feature on “Stein Estimation and Statistical Shrinkage Methods” (Guest Editor: Yuzo Maruyama)
Latest articles
Journal updates
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Call for Papers on "Advances in Latent Variable Theory and Methodology"
Coordinating Editors: Hien Nguyen (La Trobe University, Australia / Kyushu University, Japan) and Kei Hirose (Kyushu University, Japan)
Due Date: 13 December, 2024
Intended Publication Date: 1 December, 2025 -
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Call for Papers on “Recent Advances in Biostatistics”
Submission Deadline: June 30, 2024
Coordinating Editors: Masao Ueki (Nagasaki University, Japan) and Yuko Araki (Tohoku University, Japan)
Journal information
- Electronic ISSN
- 2520-8764
- Print ISSN
- 2520-8756
- Abstracted and indexed in
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- ANVUR
- BFI List
- Baidu
- CLOCKSS
- CNKI
- CNPIEC
- Dimensions
- EBSCO
- Emerging Sources Citation Index
- Google Scholar
- INSPEC
- Japanese Science and Technology Agency (JST)
- Mathematical Reviews
- Naver
- Norwegian Register for Scientific Journals and Series
- OCLC WorldCat Discovery Service
- Portico
- ProQuest
- SCImago
- SCOPUS
- TD Net Discovery Service
- Wanfang
- zbMATH
- Copyright information