Skip to main content
Log in

Overview

Behaviormetrika is a fully refereed international journal focused on new theoretical and empirical quantitative approaches in data science.

  • The oldest journal addressing the topic of data science, launched in 1974.
  • Publishes original research papers, notes, and review articles in various methodologies and fields.
  • Advocates data science as an interdisciplinary field, using statistical methods to extract meaningful knowledge from all forms of data.
  • Aims to reveal the features or hidden structure of complicated natural, human, and social phenomena through data.

Editor-in-Chief
  • Maomi Ueno
Submission to first decision (median)
9 days
Downloads
112,651 (2023)

Latest issue

January 2024 |

Volume 51, Issue 1

Including Special Features on Advances in Behavioural Data Science (287-496) / Coordinating Editors: Alfonso Iodice D’Enza, Angelos Markos, Koji Kurihara // Special Feature on Recent Developments in Causal Inference and Machine Learning—Part 2 (497-538) / Coordinating Editors: Shohei Shimizu, Shuichi Kawano

Latest articles

Journal updates

Journal information

Electronic ISSN
1349-6964
Print ISSN
0385-7417
Abstracted and indexed in
  1. ANVUR
  2. Baidu
  3. CLOCKSS
  4. CNKI
  5. CNPIEC
  6. Dimensions
  7. EBSCO
  8. Google Scholar
  9. Japanese Science and Technology Agency (JST)
  10. Naver
  11. OCLC WorldCat Discovery Service
  12. Portico
  13. ProQuest
  14. SCImago
  15. SCOPUS
  16. TD Net Discovery Service
  17. UGC-CARE List (India)
  18. Wanfang
Copyright information

Rights and permissions

Springer policies

© The Behaviormetric Society

Navigation