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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

Societies and partnerships

Journal metrics

Journal Impact Factor
1.1 (2023)
5-year Journal Impact Factor
1.0 (2023)
Submission to first decision (median)
9 days
Downloads
64.9k (2024)

Latest issue

Volume 7, Issue 2

Supported by JSPS KAKENHI Grant Number JP24HP2004. Including a Special Feature on “Risk and Statistics in Actuarial Science” (Guest Editor: Yasutaka Shimizu)

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Latest articles

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This journal has 86 open access articles

Journal updates

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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
Copyright information

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Editorial policies

© Japanese Federation of Statistical Science Associations

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