Concepedia

Recruitment Sensitivity Analysis

Recruitment Sensitivity Analysis is a methodological framework within recruitment estimation that systematically evaluates the responsiveness of recruitment outcomes to variations in input parameters, assumptions, or model specifications to assess the robustness and reliability of predictive hiring models.

2

Publications

48

Citations

41

Authors

3

Institutions

Publications per year

2017–2026

1

Parents

Publications

2

1–2 of 2

Authors

41

  1. IT
    Ian Tryaldi Halim

    Columbia University Irving Medical Center, United States

    1 publications · 19 citations

    1

    h-index

  2. NC
    Nicole Cuneo

    Columbia University Irving Medical Center, United States

    1 publications · 19 citations

    1

    h-index

  3. AR
    Anya Revah‐Politi

    Columbia University Irving Medical Center, United States

    1 publications · 19 citations

    1

    h-index

  4. KM
    Karen Marder

    Columbia University, United States

    1 publications · 19 citations

    1

    h-index

  5. PS
    Paul S. Appelbaum

    Columbia University, United States

    1 publications · 19 citations

    1

    h-index

1–5 of 41

Institutions

3

  1. Columbia University

    New York, United States

    1 h-index

    4 publications

    76 citations

  2. Columbia University Irving Medical Center

    New York, United States

    1 h-index

    34 publications

    646 citations

  3. Tianjin University

    Tianjin, China

    1 h-index

    3 publications

    87 citations

1–3 of 3

Venues

  1. Journal of Intelligent Manufacturing

    1 publications · 29 citations

    1

    h-index

  2. Genetics in Medicine

    GIM · 1 publications · 19 citations

    1

    h-index

1–2