Behaviormetrika
Impact Factor Trend
Clarivate IF trend for Behaviormetrika
SCImago Journal Rank citation prestige weighting
19 papers with at least that number of citations each
Aims & Scope
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 scienceMathematical statisticsSurvey methodologiesArtificial intelligence Information theoryMachine learning Knowledge discovery in databases (KDD)Graphical modelsComputer scienceAlgorithms FieldsMedicinePsychologyEducationEconomicsMarketingSocial scienceSociologyPolitical sciencePolicy scienceCognitive scienceBrain science
Special Issues
Calls for PapersNo active Calls for Papers found for this journal.
WoS Categories & Quartiles
Detailed JCR / JCI category rankings and quartile breakdown from Clarivate
No WoS category details available for this journal.
Annual Historical Statistics & Publications
Track annual publication volume, total citations, and Impact Factor evolution
SCImago & Scopus Journal Intelligence
Global SCImago ranking, SJR prestige index, Scopus coverage, and societal policy impact
Weighted prestige citation metric per document indexed in the Scopus database.
Average citations received per document published in the 2-year window.
Estimated Article Processing Charge for Open Access publication.
Scopus 3-Year Publication & Citation Window
Aggregated from Scopus database across the 3-year SJR evaluation window.
Societal Impact & Inclusivity (SCImago)
Citations in government and international policy documents
Percentage of female authors published in the journal
Real-world societal policy reach and author gender diversity tracked by SCImago.
Scopus Subject Categories
Journal Metrics & Citation Visualizations
Total Cites vs Self-Cites
Evaluation of scholarly independence and citation reach
Citations per Document
Citation metric windows across 2, 3, and 4 years
Chinese Academy of Sciences (CAS) Classification
Major / minor zone classification and CAS Early Warning List history
Academic Intelligence Overview & Context
ImpaQ AnalysisBehaviormetrika (acronym: bhmk, ISSN: 0385-7417) is a peer-reviewed international scholarly journal in the field of Mathematics, published by Behaviormetric Society of Japan. The periodical holds tracked under Web of Science (SCIE) in quartile Q1, a Scopus SJR indicator of 0.429 (Q2), an H-index of 19.
The journal enforces rigorous peer evaluation with a publication frequency of 2 issues per year, an annual output of approximately 35 scientific articles. In terms of accessibility and author fees, it operates under the Subscription model with an estimated APC of $2,965 USD. It serves as a benchmark publication platform for academics, researchers, and doctoral candidates seeking global research visibility.
Publishing & Editorial Information
Detailed publisher, peer-review turnaround, and publication cycle specifications
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