Candidate Screening Analytics

Candidate Screening Analytics is a methodological framework within recruitment analytics that systematically evaluates and quantifies the effectiveness, efficiency, and fairness of pre-employment screening processes through the application of data-driven models and performance metrics.

19

Publications

1.1K

Citations

78

Authors

35

Institutions

Publications per year

2017–2026

12

Authors

78

  1. RO
    Raul Orvieto

    Tel Aviv University, Israel

    1 publications · 19 citations

    1

    h-index

  2. CS
    Chelsea S. Hamill

    University Hospitals of Cleveland, United States

    1 publications · 27 citations

    1

    h-index

  3. DP
    D. Pramesh

    University of Agricultural Sciences Raichur, India

    1 publications · 15 citations

    1

    h-index

  4. DM
    Daniel M. Ashby

    Johns Hopkins Hospital, United States

    1 publications · 49 citations

    1

    h-index

  5. AG
    Anubhuti Gupta

    University Hospital Leipzig, Germany

    1 publications · 56 citations

    1

    h-index

1–5 of 78

Venues

  1. International Journal of Electrical Engineering Education

    IJEEE · 1 publications · 61 citations

    1

    h-index

  2. Medical Entomology and Zoology

    1 publications · 24 citations

    1

    h-index

  3. American Sociological Review

    ASR · 1 publications · 514 citations

    1

    h-index

  4. American Journal of Health-System Pharmacy

    AJHP · 1 publications · 49 citations

    1

    h-index

  5. Criminal Justice Policy Review

    CJPR · 1 publications · 27 citations

    1

    h-index

1–5