Case-based Reasoning

Case-Based Reasoning is a problem-solving paradigm in artificial intelligence that employs past problem-solution experiences, represented as cases, to address new problems through similarity-based retrieval, adaptation, and reuse of previously recorded solutions.

2.1K

Publications

89.2K

Citations

4.2K

Authors

1.4K

Institutions

Publications per year

2017–2026

355

Authors

4.2K

  1. JL
    Janet L. Kolodner

    Georgia Institute of Technology, United States

    19 publications · 4K citations

    17

    h-index

  2. AA
    Agnar Aamodt

    Norwegian University of Science and Technology, Norway

    22 publications · 7.4K citations

    17

    h-index

  3. JM
    Juan M. Corchado

    Universidad de Salamanca, Spain

    21 publications · 1K citations

    16

    h-index

  4. DL
    David Leake

    Indiana University Bloomington, United States

    25 publications · 1.4K citations

    16

    h-index

  5. PC
    Pádraig Cunningham

    University College Dublin, Ireland

    20 publications · 1.1K citations

    15

    h-index

1–5 of 4.2K

Venues

  1. Expert Systems with Applications

    119 publications · 6.7K citations

    49

    h-index

  2. Knowledge-Based Systems

    34 publications · 1.9K citations

    22

    h-index

  3. 20

    h-index

  4. Journal of Computing in Civil Engineering

    20 publications · 1.1K citations

    19

    h-index

  5. The Knowledge Engineering Review

    26 publications · 2.1K citations

    18

    h-index

1–5