Rating Aggregation

Rating Aggregation is a methodological procedure in 360-degree feedback systems that integrates multiple individual performance ratings from diverse rater sources into a unified evaluative score to enable comprehensive and balanced assessment of an individual’s competencies.

93

Publications

4.2K

Citations

224

Authors

131

Institutions

Publications per year

2017–2026

26

Authors

224

  1. ML
    Michael Luca

    Harvard University, United States

    4 publications · 163 citations

    4

    h-index

  2. GZ
    Ginger Zhe Jin

    University of Maryland, College Park, United States

    4 publications · 163 citations

    4

    h-index

  3. WD
    Weijia Dai

    University of Maryland, College Park, United States

    3 publications · 135 citations

    3

    h-index

  4. QY
    Qing Yang

    University of Rhode Island, United States

    3 publications · 101 citations

    3

    h-index

  5. YS
    Yan Sun

    University of Rhode Island, United States

    3 publications · 101 citations

    3

    h-index

1–5 of 224

Venues

  1. Journal of Applied Psychology

    3 publications · 69 citations

    3

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  2. Expert Systems with Applications

    2 publications · 41 citations

    2

    h-index

  3. Personnel Psychology

    2 publications · 159 citations

    2

    h-index

  4. SSRN Electronic Journal

    Repository · 2 publications · 39 citations

    2

    h-index

  5. 2

    h-index

1–5