Digital Observation

Digital Observation is a systematic method of data collection that employs digital technologies to record, monitor, and analyze behaviors, events, or phenomena in natural or controlled settings, distinguished by its reliance on electronic devices, sensors, software platforms, or online environments to capture observational data with precision, scalability, and often minimal intrusiveness.

27

Publications

1.9K

Citations

102

Authors

66

Institutions

Publications per year

2017–2026

14

Authors

102

  1. BM
    Bart M. Demaerschalk

    Mayo Clinic in Arizona, United States

    2 publications · 201 citations

    2

    h-index

  2. KE
    Karin Ernström

    University of California San Diego, United States

    2 publications · 201 citations

    2

    h-index

  3. BC
    Brett C. Meyer

    University of California San Diego, United States

    2 publications · 201 citations

    2

    h-index

  4. RR
    Rema Raman

    University of California San Diego, United States

    2 publications · 201 citations

    2

    h-index

  5. FN
    Fumiaki Nakata

    National Astronomical Observatory of Japan, Japan

    1 publications · 213 citations

    1

    h-index

1–5 of 102

Venues

  1. Behavior Research Methods

    BRM · 3 publications · 71 citations

    3

    h-index

  2. 2

    h-index

  3. Journal of Further and Higher Education

    1 publications · 32 citations

    1

    h-index

  4. Journal of Sport Management

    JSM · 1 publications · 32 citations

    1

    h-index

  5. 1

    h-index

1–5