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

Authors

571

  1. AT
    Andrew T. Campbell

    Dartmouth College, United States

    4 publications · 456 citations

    4

    h-index

  2. DJ
    Diane J. Cook

    Washington State University, United States

    3 publications · 139 citations

    3

    h-index

  3. AA
    Audie A. Atienza

    National Cancer Institute, United States

    3 publications · 216 citations

    3

    h-index

  4. PA
    Patricia A. Areán

    University of California, San Francisco, United States

    3 publications · 239 citations

    3

    h-index

  5. PP
    Plinio Pelegrini Morita

    University of Waterloo, Canada

    3 publications · 328 citations

    3

    h-index

1–5 of 571

Venues

  1. Journal of Medical Internet Research

    10 publications · 1.3K citations

    10

    h-index

  2. JMIR mhealth and uhealth

    10 publications · 733 citations

    10

    h-index

  3. JMIR Research Protocols

    4 publications · 201 citations

    4

    h-index

  4. Translational Behavioral Medicine

    3 publications · 253 citations

    3

    h-index

  5. npj Digital Medicine

    3 publications · 321 citations

    3

    h-index

1–5