Expert Knowledge Extraction

Expert Knowledge Extraction is a scholarly methodological process that systematically identifies, formalizes, and integrates domain-specific insights from recognized subject matter experts into structured representations to support best practice derivation within a given field.

517

Publications

21.4K

Citations

2K

Authors

809

Institutions

Publications per year

2017–2026

185

Authors

2K

  1. AZ
    A‐Xing Zhu

    University of Wisconsin–Madison, United States

    4 publications · 408 citations

    4

    h-index

  2. MV
    M.A. Vila

    Universidad de Granada, Spain

    3 publications · 62 citations

    3

    h-index

  3. MT
    Mark T. Maybury

    Mitre (United States), United States

    3 publications · 118 citations

    3

    h-index

  4. WB
    W. Bruce Croft

    University of Massachusetts Amherst, United States

    3 publications · 360 citations

    3

    h-index

  5. CB
    Christian Baumgärtner

    Medical University of Vienna, Austria

    2 publications · 80 citations

    2

    h-index

1–5 of 2K

Venues

  1. Expert Systems with Applications

    22 publications · 703 citations

    16

    h-index

  2. arXiv (Cornell University)

    Repository · 7 publications · 159 citations

    7

    h-index

  3. IEEE Access

    7 publications · 166 citations

    7

    h-index

  4. Expert Systems

    6 publications · 368 citations

    6

    h-index

  5. Information Processing & Management

    6 publications · 458 citations

    6

    h-index

1–5