Compensation Clustering

Compensation Clustering is a data-driven analytical method that groups employees or positions into distinct categories based on similarities in compensation structures, levels, or determinants, enabling organizations to identify pay disparities, optimize salary bands, and align remuneration strategies with market benchmarks.

3

Publications

336

Citations

10

Authors

4

Institutions

Publications per year

2017–2026

0

Authors

10

  1. VS
    Vida Scarpello

    Georgia State University, United States

    1 publications · 11 citations

    1

    h-index

  2. AT
    Allan Timmermann

    University of California San Diego, United States

    1 publications · 82 citations

    1

    h-index

  3. MB
    Michael Byungnam Lee

    1 publications · 11 citations

    1

    h-index

  4. DB
    David Blake

    City, University of London, United Kingdom

    1 publications · 82 citations

    1

    h-index

  5. ZH
    Zhengjia He

    Xi'an Jiaotong University, China

    1 publications · 243 citations

    1

    h-index

1–5 of 10

Venues

  1. Mechanical Systems and Signal Processing

    MSSP · 1 publications · 243 citations

    1

    h-index

  2. Journal of Asset Management

    1 publications · 82 citations

    1

    h-index

  3. 1

    h-index

  4. Neural Processing Letters

    1 publications · 26 citations

1–4