Behavior Change Analytics
Behavior Change Analytics is a methodological framework within Mobile Health Analytics that systematically captures, models, and evaluates individual-level behavioral patterns and their longitudinal evolution to identify, quantify, and predict clinically meaningful changes in health-related behaviors.
118
Publications
8.5K
Citations
571
Authors
248
Institutions
Publications per year
2017–2026
76
Parents
118
Mashfiqui Rabbi, Angela Fidler Pfammatter, Mi Zhang et al. · JMIR mhealth and uhealth · 2015 · 317 citations · Full text
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571
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University of California, San Francisco, United States
3 publications · 239 citations
3
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3
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1–5 of 571
248
University of Washington
Seattle, United States
8 h-index
17 publications
1.1K citations
Dartmouth College
Hanover, United States
7 h-index
37 publications
3K citations
Harvard University
Cambridge, United States
7 h-index
25 publications
2.7K citations

University of Toronto
Toronto, Canada
6 h-index
22 publications
1.8K citations
National Cancer Institute
Bethesda, United States
4 h-index
8 publications
542 citations

Cornell University
Ithaca, United States
4 h-index
11 publications
2.1K citations

Washington State University
Pullman, United States
3 h-index
10 publications
481 citations

Pennsylvania State University
State College, United States
3 h-index
8 publications
1.7K citations
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10 publications · 1.3K citations
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10 publications · 733 citations
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4 publications · 201 citations
4
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3 publications · 253 citations
3
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3 publications · 321 citations
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