Observation Scheduling

Observation Scheduling is a methodological construct in work sampling that systematically determines the timing and frequency of observational events to ensure representative and unbiased data collection across specified work activities.

37

Publications

3.8K

Citations

123

Authors

65

Institutions

Publications per year

2017–2026

17

Authors

123

  1. GW
    Guohua Wu

    Central South University, China

    5 publications · 419 citations

    5

    h-index

  2. LX
    Lining Xing

    National University of Defense Technology, China

    4 publications · 403 citations

    4

    h-index

  3. FY
    Feng Yao

    National University of Defense Technology, China

    4 publications · 65 citations

    4

    h-index

  4. WP
    Witold Pedrycz

    University of Alberta, Canada

    4 publications · 393 citations

    4

    h-index

  5. XW
    Xinwei Wang

    Beihang University, China

    3 publications · 355 citations

    3

    h-index

1–5 of 123

Venues

  1. 2

    h-index

  2. Computers & Operations Research

    2 publications · 146 citations

    2

    h-index

  3. 2

    h-index

  4. National Conference on Artificial Intelligence

    Conference · 1 publications · 138 citations

    1

    h-index

  5. Canadian Journal of Emergency Medicine

    JCMU · 1 publications · 22 citations

    1

    h-index

1–5