Expertise Matching Algorithms

Expertise Matching Algorithms is a computational method designed to identify and align individuals with specific skills or knowledge to tasks, roles, or collaborators by systematically analyzing and comparing representations of expertise derived from textual, behavioral, or network data.

16

Publications

599

Citations

48

Authors

32

Institutions

Publications per year

2017–2026

2

Authors

48

  1. JT
    Jie Tang

    Tsinghua University, China

    3 publications · 107 citations

    3

    h-index

  2. CT
    Chenhao Tan

    University of Colorado Boulder, United States

    2 publications · 95 citations

    2

    h-index

  3. MK
    Maryam Karimzadehgan

    University of Illinois Urbana-Champaign, United States

    2 publications · 173 citations

    2

    h-index

  4. CZ
    ChengXiang Zhai

    University of Illinois Urbana-Champaign, United States

    2 publications · 173 citations

    2

    h-index

  5. WT
    Wenbin Tang

    Guilin University of Electronic Technology, China

    2 publications · 95 citations

    2

    h-index

1–5 of 48

Venues

  1. Knowledge and Information Systems

    2 publications · 51 citations

    2

    h-index

  2. ACM Transactions on Software Engineering and Methodology

    TOSEM · 1 publications · 24 citations

    1

    h-index

  3. PubMed

    Repository · 1 publications · 24 citations

    1

    h-index

  4. Neurocomputing

    1 publications · 47 citations

    1

    h-index

  5. IEEE Transactions on Cybernetics

    1 publications · 33 citations

    1

    h-index

1–5