Candidate Selection Modeling

Candidate Selection Modeling is a predictive analytics framework that systematically identifies and evaluates optimal job candidates by integrating data-driven algorithms with human resource criteria to distinguish viable applicants based on predefined performance indicators.

90

Publications

3.7K

Citations

288

Authors

144

Institutions

Publications per year

2017–2026

45

Authors

288

  1. WD
    Wilfried De Corte

    Ghent University, Belgium

    2 publications · 65 citations

    2

    h-index

  2. TR
    Thomas R. Carretta

    United States Air Force Research Laboratory, United States

    2 publications · 26 citations

    2

    h-index

  3. BB
    B. B. Zaidan

    Sultan Idris Education University, Malaysia

    1 publications · 28 citations

    1

    h-index

  4. RN
    Rohan Nanda

    Maastricht University, Netherlands

    1 publications · 24 citations

    1

    h-index

  5. RP
    Rakesh Pimplikar

    IBM Research - India, India

    1 publications · 30 citations

    1

    h-index

1–5 of 288

Venues

  1. Journal of Applied Psychology

    3 publications · 199 citations

    3

    h-index

  2. SSRN Electronic Journal

    Repository · 2 publications · 23 citations

    2

    h-index

  3. Procedia Computer Science

    2 publications · 41 citations

    2

    h-index

  4. Journal of Labor Economics

    JOLE · 2 publications · 47 citations

    2

    h-index

  5. arXiv (Cornell University)

    Repository · 2 publications · 29 citations

    2

    h-index

1–5