Expertise Recommendation

Expertise Recommendation is a computational process within Expertise Management that identifies and ranks individuals possessing relevant knowledge or skills for a specific task or inquiry, distinguished by its reliance on evidence-based profiling and contextual matching to support optimal expert assignment.

123

Publications

5K

Citations

377

Authors

171

Institutions

Publications per year

2017–2026

47

Authors

377

  1. CL
    C. Lee Giles

    Pennsylvania State University, United States

    4 publications · 131 citations

    4

    h-index

  2. JM
    Jian Ma

    City University of Hong Kong, Hong Kong SAR China

    3 publications · 62 citations

    3

    h-index

  3. DW
    David W. McDonald

    University of Washington, United States

    3 publications · 520 citations

    3

    h-index

  4. PM
    Prasenjit Mitra

    Pennsylvania State University, United States

    3 publications · 108 citations

    3

    h-index

  5. SD
    Sujatha Das Gollapalli

    Pennsylvania State University, United States

    2 publications · 85 citations

    2

    h-index

1–5 of 377

Venues

  1. IEEE Access

    3 publications · 53 citations

    3

    h-index

  2. IEEE Transactions on Software Engineering

    TSE · 2 publications · 28 citations

    2

    h-index

  3. Expert Systems with Applications

    2 publications · 63 citations

    2

    h-index

  4. 2

    h-index

  5. arXiv (Cornell University)

    Repository · 2 publications · 36 citations

    2

    h-index

1–5