Behaviormetrika is issued twice a year to provide an international forum for new theoretical and empirical quantitative approaches in data science. When Behaviormetrika was launched in 1974, the journal advocated data science, as an interdisciplinary field that included the use of statistical methods to extract meaningful knowledge from data in its various forms: structured or unstructured. Behaviormetrika is the oldest journal addressing the topic of data science. The first editor-in-chief of Behaviormetrika, Dr. Chikio Hayashi, described data science in this way:

“Data science is not only a synthetic concept to unify statistics, data analysis, and their related methods; it also comprises its results. Data science is intended to analyze and understand actual phenomena with ‘data.’ In other words, the aim of data science is to reveal the features or the hidden structure of complicated natural, human, and social phenomena using data from a different perspective from the established or traditional theory and method.”

Behaviormetrika is a fully refereed international journal, which publishes original research papers, notes, and review articles. Subject areas suitable for publication include but are not limited to the following methodologies and fields.

Methodologies

  • Data science
  • Mathematical statistics
  • Survey methodologies
  • Artificial intelligence
  • Information theory
  • Machine learning
  • Knowledge discovery in databases (KDD)
  • Graphical models
  • Computer science
  • Algorithms

Fields

  • Medicine
  • Psychology
  • Education
  • Economics
  • Marketing
  • Social science
  • Sociology
  • Political science
  • Policy science
  • Cognitive science
  • Brain science

Journal information

Editor-in-Chief
  • Maomi Ueno
Publishing model
Hybrid. Learn about publishing OA with us

Journal metrics

58 days
Submission to first decision
191 days
Submission to acceptance
20,479 (2019)
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Latest issue

Volume 47

Issue 2, July 2020

Special Issue on Bayesian Applications to Educational and Psychological Testing

Latest articles

This journal has 27 open access articles

Journal updates

  • COVID-19 and impact on peer review

    As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times.  Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.

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About this journal

Electronic ISSN
1349-6964
Print ISSN
0385-7417
Abstracted and indexed in
  1. CNKI
  2. Dimensions
  3. EBSCO Discovery Service
  4. Google Scholar
  5. Institute of Scientific and Technical Information of China
  6. Japanese Science and Technology Agency (JST)
  7. Naver
  8. OCLC WorldCat Discovery Service
  9. ProQuest-ExLibris Primo
  10. ProQuest-ExLibris Summon
  11. SCImago
  12. SCOPUS
  13. TD Net Discovery Service
  14. UGC-CARE List (India)
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