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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
  • Hiroki Masuda
Impact factor
1.1 (2023)
5 year impact factor
1.0 (2023)
Submission to first decision (median)
12 days
Downloads
92,795 (2023)

Latest issue

June 2024 |

Volume 7, Issue 1

Supported by JSPS KAKENHI Grant Number JP19HP2005. Including a Special Feature on “Stein Estimation and Statistical Shrinkage Methods” (Guest Editor: Yuzo Maruyama)

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Journal information

Electronic ISSN
2520-8764
Print ISSN
2520-8756
Abstracted and indexed in
  1. ANVUR
  2. BFI List
  3. Baidu
  4. CLOCKSS
  5. CNKI
  6. CNPIEC
  7. Dimensions
  8. EBSCO
  9. Emerging Sources Citation Index
  10. Google Scholar
  11. INSPEC
  12. Japanese Science and Technology Agency (JST)
  13. Mathematical Reviews
  14. Naver
  15. Norwegian Register for Scientific Journals and Series
  16. OCLC WorldCat Discovery Service
  17. Portico
  18. ProQuest
  19. SCImago
  20. SCOPUS
  21. TD Net Discovery Service
  22. Wanfang
  23. zbMATH
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© Japanese Federation of Statistical Science Associations

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