Skill Clustering

Skill Clustering is a computational method that groups granular skill representations based on semantic similarity or co-occurrence patterns, distinguishing it from broader skill taxonomies by its data-driven, unsupervised structuring of skills into coherent clusters.

30

Publications

8.7K

Citations

75

Authors

48

Institutions

Publications per year

2017–2026

9

Authors

75

  1. RN
    Rebecca Nugent

    Carnegie Mellon University, United States

    4 publications · 114 citations

    4

    h-index

  2. EA
    Elizabeth Ayers

    Carnegie Mellon University, United States

    4 publications · 114 citations

    4

    h-index

  3. ND
    Nema Dean

    University of Glasgow, United Kingdom

    4 publications · 114 citations

    4

    h-index

  4. RJ
    Richard J. Murnane

    Harvard University Press, United States

    2 publications · 7.2K citations

    2

    h-index

  5. DA
    David Autor

    National Bureau of Economic Research, United States

    2 publications · 7.2K citations

    2

    h-index

1–5 of 75

Venues

  1. 4

    h-index

  2. SSRN Electronic Journal

    Repository · 3 publications · 1.4K citations

    3

    h-index

  3. Cognitive Psychology

    1 publications · 512 citations

    1

    h-index

  4. Empirical Economics

    1 publications · 54 citations

    1

    h-index

  5. Computer Applications in Engineering Education

    CAE · 1 publications · 32 citations

    1

    h-index

1–5