Rule-based Screening

Rule-Based Screening is a resume screening method that systematically evaluates job applicants by applying predefined, logic-driven criteria to assess alignment with essential qualifications, distinguishing it from statistical or machine learning approaches through its reliance on explicit, human-encoded rules.

16

Publications

776

Citations

72

Authors

30

Institutions

Publications per year

2017–2026

8

Authors

72

  1. YX
    Yitian Xu

    China Agricultural University, China

    3 publications · 61 citations

    3

    h-index

  2. WG
    William G. Shadel

    RAND Corporation, United States

    1 publications · 15 citations

    1

    h-index

  3. JH
    Jana Hoffman

    Dascena (United States), United States

    1 publications · 38 citations

    1

    h-index

  4. DG
    Dana G. Allen

    University of Guelph, Canada

    1 publications · 196 citations

    1

    h-index

  5. EJ
    Elizabeth J. D’Amico

    RAND Corporation, United States

    1 publications · 15 citations

    1

    h-index

1–5 of 72

Venues

  1. Neural Networks

    1 publications · 24 citations

    1

    h-index

  2. Nucleic Acids Research

    1 publications · 196 citations

    1

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. BMC Medical Informatics and Decision Making

    1 publications · 38 citations

    1

    h-index

1–5