Journal profile

Multivariate behavioral research

Publisher: Taylor & Francis Group
ISSN0027-3171 | 1532-7906 FormatPrint StatusCurrently indexed

Journal Citation Impact

Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.

Impact Factor
3.52
Citation rate 4.01 504 total citations
h5-index 26 h5 depth signal
Cited share 71.4% 95 of 133
Total citations 504 Citation footprint
Metric signal 3.69 External metric anchor
Self-citation 3.8% 19 self-citations

Citations Trend

Monthly Publications Cadence

Citing Geographic Demographics

United States 507
Netherlands 97
Germany 69
China 47
Canada 25

Citing Fields of Research

Statistical Methods 531
Psychiatry & Psychology 369
AI & Machine Learning 78
Education & Pedagogy 40
Neurosciences 39

Publishing Activity & Reach

Volume, recency, access pattern, and citing-community signals from the journal analytics record.

All-time article footprint 2,437 Articles tracked across the journal lifetime
Indexed publication set 133 95 cited publications
Last 12 months 75 6.3 publications/month
Open access share 33.3% 25 OA publications in the last year
Leading citing country United States 507 citing publications
Leading citing field Statistical Methods 531 citing publications
Latest tracked publication 20 October 2026 10 recent records available

Coverage & Indexing History

MEDLINE
v50n1, Jan-Feb 2015- ; Selected citations only before this date
PubMed
v50n1, Jan-Feb 2015- ; Selected citations only before this date

Research Focus & Classification

Indexed Subjects

Statistical Methods Psychiatry & Psychology

Issuing & Sponsoring Bodies

Contributor
Society of Multivariate Experimental Psychology

Broad Categories

Behavioral Sciences Psychology Statistics as Topic Statistical Methods Psychiatry & Psychology

MeSH Descriptors

Behavior Psychology, Experimental Psychometrics

Latest Publications

Recent article records with DOI-first linking and condensed abstracts.

06
Mirka Henninger, Sandro Menegola, Niels Vanhasbroeck et al.
Intensive longitudinal data (ILD) are increasingly used to study affect dynamics such as intraindividual variability and inertia. These parameters are often interpreted as substantive individual differences, yet they may be biased by sta...

Bibliographical & Catalog Notes

Also issued online.

Issued by the Society of Multivariate Experimental Psychology.