Time-to-complete Estimation

Time-To-Complete Estimation is a methodological construct in experiment duration planning that quantifies the predicted duration required to fully execute a given experimental procedure, distinguishing itself by integrating task complexity, resource availability, and operational constraints to yield a data-driven forecast of completion time.

12

Publications

1.4K

Citations

31

Authors

17

Institutions

Publications per year

2017–2026

3

Authors

31

  1. MG
    Michael G. Ross

    Harbor–UCLA Medical Center, United States

    2 publications · 1.2K citations

    2

    h-index

  2. RB
    Roger Buehler

    Wilfrid Laurier University, Canada

    2 publications · 1.2K citations

    2

    h-index

  3. DG
    Dale Griffin

    University of British Columbia, Canada

    2 publications · 1.2K citations

    2

    h-index

  4. RH
    Robert H. Jennings

    Indiana University, United States

    1 publications · 17 citations

    1

    h-index

  5. KM
    Kefu Mao

    Hohai University, China

    1 publications · 20 citations

    1

    h-index

1–5 of 31

Venues

  1. Journal of Personality and Social Psychology

    2 publications · 1.2K citations

    2

    h-index

  2. Engineering Management

    IET · 1 publications · 10 citations

    1

    h-index

  3. KSCE Journal of Civil Engineering

    1 publications · 19 citations

    1

    h-index

  4. Automation and Remote Control

    1 publications · 11 citations

    1

    h-index

  5. Computers & Industrial Engineering

    1 publications · 20 citations

    1

    h-index

1–5