Self-tracking Analytics

Self-Tracking Analytics is a methodological framework within mobile health analytics that enables individuals to systematically collect, analyze, and interpret personal physiological, behavioral, and contextual data through digital devices to monitor and improve health outcomes over time.

36

Publications

4.4K

Citations

112

Authors

47

Institutions

Publications per year

2017–2026

23

Authors

112

  1. MR
    Minna Ruckenstein

    University of Helsinki, Finland

    3 publications · 328 citations

    3

    h-index

  2. MS
    Melanie Swan

    Futures Group (United States), United States

    2 publications · 1.7K citations

    2

    h-index

  3. MP
    Mika Pantzar

    National Consumer Research Centre, Finland

    2 publications · 128 citations

    2

    h-index

  4. IW
    Ingmar Weber

    Qatar Airways (Qatar), Qatar

    2 publications · 57 citations

    2

    h-index

  5. DB
    Dror Ben‐Zeev

    Dartmouth College, United States

    1 publications · 1.1K citations

    1

    h-index

1–5 of 112

Venues

  1. Big Data

    2 publications · 1K citations

    2

    h-index

  2. Digital Health

    1 publications · 13 citations

    1

    h-index

  3. Evolving Systems

    1 publications · 23 citations

    1

    h-index

  4. Consumption Markets & Culture

    1 publications · 111 citations

    1

    h-index

  5. Body & Society

    1 publications · 188 citations

    1

    h-index

1–5