Text-based Expertise Inference

Text-Based Expertise Inference is an academic method that identifies and models individuals' areas of expertise by analyzing textual content they have produced or are associated with, distinguishing itself from other expertise retrieval approaches through its exclusive reliance on unstructured text data rather than structured metadata or explicit knowledge representations.

13

Publications

683

Citations

58

Authors

28

Institutions

Publications per year

2017–2026

2

Authors

58

  1. CW
    Claudia Wagner

    GESIS - Leibniz Institute for the Social Sciences, Germany

    2 publications · 114 citations

    2

    h-index

  2. PP
    Peter Pirolli

    Palo Alto Research Center, United States

    2 publications · 114 citations

    2

    h-index

  3. NG
    Niloy Ganguly

    Indian Institute of Technology Kharagpur, India

    1 publications · 190 citations

    1

    h-index

  4. ES
    Elena Smirnova

    Criteo (France), France

    1 publications · 19 citations

    1

    h-index

  5. HK
    Hyungjin Kim

    Seoul National University, South Korea

    1 publications · 70 citations

    1

    h-index

1–5 of 58

Venues

  1. Expert Systems with Applications

    2 publications · 29 citations

    2

    h-index

  2. Human-Computer Interaction

    1 publications · 21 citations

    1

    h-index

  3. 1

    h-index

  4. Alzheimer Disease & Associated Disorders

    ADAD · 1 publications · 12 citations

    1

    h-index

1–4