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

Editor-in-Chief
  • Maomi Ueno
Publishing model
Hybrid. Open Choice – What is this?
Speed
Submission to first decision: 65 days
Usage
Downloads: 8,844 (2018)

Articles

Journal updates

  • Call for Papers on "Advances in Composite-based Structural Equation Modeling"

    Guest Editors:
    Heungsun Hwang, McGill University (heungsun.hwang@mcgill.ca)
    Marko Sarstedt, Otto-von-Guericke-University Magdeburg (marko.sarstedt@ovgu.de)

    Submission due date: March 1st , 2019
    First round of reviews: May 15th , 2019
    Revisions due: July 15th , 2019
    Second round decision: September 15th , 2019
    Revisions due: November 15th , 2019
    Final editorial decision: December 15th , 2019
    Publication of the special issue: Late 2020

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About this journal

Electronic ISSN
1349-6964
Print ISSN
0385-7417
Abstracted and indexed in
  1. EBSCO Discovery Service
  2. Google Scholar
  3. Institute of Scientific and Technical Information of China
  4. Japanese Science and Technology Agency (JST)
  5. Naver
  6. OCLC WorldCat Discovery Service
  7. ProQuest-ExLibris Primo
  8. ProQuest-ExLibris Summon
  9. SCOPUS
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