Skill Classification Systems

Skill Classification Systems is a structured framework that organizes and categorizes identifiable competencies or abilities into standardized taxonomies based on shared characteristics, functional roles, or hierarchical levels, enabling systematic analysis and interpretation of skill demands in educational and labor market contexts.

68

Publications

2.7K

Citations

166

Authors

83

Institutions

Publications per year

2017–2026

20

Variants

Skill Taxonomies

Authors

166

  1. TF
    Timothy Ferris

    University of South Australia, Australia

    2 publications · 88 citations

    2

    h-index

  2. LC
    Linda Clarke

    University of Westminster, United Kingdom

    2 publications · 307 citations

    2

    h-index

  3. CW
    Christopher Winch

    King's College London, United Kingdom

    2 publications · 307 citations

    2

    h-index

  4. JL
    Johanna Liebl

    Ludwig-Maximilians-Universität München, Germany

    1 publications · 18 citations

    1

    h-index

  5. AP
    Alex Pantaleev

    State University of New York at Oswego, United States

    1 publications · 17 citations

    1

    h-index

1–5 of 166

Venues

  1. Digital Education Resource Archive (University College London)

    Repository · 3 publications · 64 citations

    3

    h-index

  2. Economics Letters

    2 publications · 47 citations

    2

    h-index

  3. Journal of Evaluation in Clinical Practice

    1 publications · 110 citations

    1

    h-index

  4. 1

    h-index

  5. Weather and Forecasting

    1 publications · 34 citations

    1

    h-index

1–5