Behavioral Data Analysis
Behavioral Data Analysis is a scholarly methodology that systematically examines patterns, sequences, and structures of human actions and decisions—derived from digital, observational, or sensor-based sources—to infer underlying cognitive, emotional, or social processes within a specific context.
2.6K
Publications
231.3K
Citations
8.5K
Authors
2.4K
Institutions
Publications per year
2017–2026
784
Parents
2.6K
1–5 of 2.6K
8.5K
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2.4K
Stanford University
Stanford, United States
25 h-index
54 publications
5.3K citations

Centre National de la Recherche Scientifique
Paris, France
25 h-index
100 publications
7.2K citations
Harvard University
Cambridge, United States
24 h-index
57 publications
5.5K citations
University of Michigan
Ann Arbor, United States
23 h-index
50 publications
10.2K citations
University of California San Diego
San Diego, United States
22 h-index
61 publications
7.1K citations
University of Pennsylvania
Philadelphia, United States
21 h-index
46 publications
6.5K citations
University of Washington
Seattle, United States
21 h-index
62 publications
4.5K citations
Massachusetts Institute of Technology
Cambridge, United States
20 h-index
35 publications
17.1K citations
1–8 of 2.4K
65 publications · 3.5K citations
34
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62 publications · 2.8K citations
28
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35 publications · 1.3K citations
19
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30 publications · 1.1K citations
19
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22 publications · 1.3K citations
17
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