Heuristic Problem Solving

Heuristic Problem Solving is a problem-solving approach that employs experiential or rule-of-thumb strategies to efficiently identify satisfactory solutions, particularly in complex or ill-defined problems where guaranteed optimal methods are impractical or unavailable.

217

Publications

14K

Citations

436

Authors

233

Institutions

Publications per year

2017–2026

40

Authors

436

  1. EÖ
    Ender Özcan

    University of Nottingham, United Kingdom

    5 publications · 302 citations

    5

    h-index

  2. DK
    Dennis Kibler

    University of California, Irvine, United States

    4 publications · 104 citations

    4

    h-index

  3. EB
    Edmund Burke

    University of Nottingham, United Kingdom

    4 publications · 370 citations

    4

    h-index

  4. MM
    Mustafa Mısır

    KU Leuven, Belgium

    3 publications · 61 citations

    3

    h-index

  5. AH
    Alan H. Schoenfeld

    University of California, Berkeley, United States

    3 publications · 187 citations

    3

    h-index

1–5 of 436

Venues

  1. International Joint Conference on Artificial Intelligence

    Conference · 9 publications · 652 citations

    9

    h-index

  2. Management Science

    8 publications · 480 citations

    8

    h-index

  3. Journal for Research in Mathematics Education

    JRME · 6 publications · 286 citations

    6

    h-index

  4. European Journal of Operational Research

    6 publications · 1.2K citations

    6

    h-index

  5. arXiv (Cornell University)

    Repository · 4 publications · 68 citations

    4

    h-index

1–5