Case-based Knowledge Acquisition

Case-Based Knowledge Acquisition is a scholarly contribution in the field of case-based learning that constitutes a systematic method for deriving, structuring, and integrating knowledge from real or simulated cases to support adaptive problem-solving and decision-making in domain-specific contexts.

278

Publications

9.5K

Citations

707

Authors

324

Institutions

Publications per year

2017–2026

47

Authors

707

  1. MD
    Michael D. Mumford

    University of Oklahoma, United States

    5 publications · 345 citations

    5

    h-index

  2. JL
    Jean Lieber

    Laboratoire Lorrain de Recherche en Informatique et ses Applications, France

    4 publications · 137 citations

    4

    h-index

  3. SK
    Stefanie Kolb

    Ludwig-Maximilians-Universität München, Germany

    3 publications · 93 citations

    3

    h-index

  4. AN
    Amedeo Napoli

    Laboratoire Lorrain de Recherche en Informatique et ses Applications, France

    3 publications · 124 citations

    3

    h-index

  5. MR
    Martin R. Fischer

    Ludwig-Maximilians-Universität München, Germany

    3 publications · 219 citations

    3

    h-index

1–5 of 707

Venues

  1. Expert Systems with Applications

    12 publications · 594 citations

    11

    h-index

  2. PubMed

    Repository · 6 publications · 210 citations

    6

    h-index

  3. Biochemistry and Molecular Biology Education

    BAMBEd · 4 publications · 208 citations

    4

    h-index

  4. Educational Technology Research and Development

    ETRD · 4 publications · 95 citations

    4

    h-index

  5. 3

    h-index

1–5