Talent Skill Analytics

Talent Skill Analytics is an academic construct that systematically employs data-driven methodologies to identify, measure, and model individual and collective competencies within organizational contexts, differentiating it from broader human resource analytics by focusing specifically on granular skill attribution, mastery levels, and skill gap analysis to inform talent development and deployment decisions.

25

Publications

1.3K

Citations

60

Authors

31

Institutions

Publications per year

2017–2026

18

Authors

60

  1. YS
    Ying Sun

    Baidu (China), China

    2 publications · 38 citations

    2

    h-index

  2. QZ
    Qi Zhang

    Aarhus University, Denmark

    2 publications · 38 citations

    2

    h-index

  3. RZ
    Rui Zha

    University of Science and Technology of China, China

    2 publications · 38 citations

    2

    h-index

  4. HZ
    Hengshu Zhu

    Baidu (China), China

    2 publications · 38 citations

    2

    h-index

  5. CQ
    Chuan Qin

    University of Science and Technology of China, China

    2 publications · 38 citations

    2

    h-index

1–5 of 60

Venues

  1. Procedia Computer Science

    3 publications · 76 citations

    3

    h-index

  2. Strategic HR Review

    3 publications · 103 citations

    3

    h-index

  3. Journal of Education for Business

    1 publications · 15 citations

    1

    h-index

  4. Dialnet (Universidad de la Rioja)

    Repository · 1 publications · 39 citations

    1

    h-index

  5. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 1 publications · 53 citations

    1

    h-index

1–5