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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
1.3 (2022)
5 year impact factor
1.1 (2022)
Submission to first decision (median)
9 days
Downloads
92,795 (2023)

Latest issue

November 2023 |

Volume 6, Issue 2

Supported by JSPS KAKENHI Grant Number JP19HP2005. Including a Special Feature on “Modern Methods and Applications for Biodiversity Studies” (Guest Editors: Osamu Komori · Yasuhiro Kubota)

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Journal information

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

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