Model-based Problem Solving

Model-Based Problem Solving is a problem-solving strategy that employs an explicit representation of a system or phenomenon—constituting its structure, behavior, or constraints—to guide reasoning, inference, and solution derivation through simulation, analysis, or manipulation of the model.

136

Publications

6.1K

Citations

317

Authors

152

Institutions

Publications per year

2017–2026

32

Authors

317

  1. YP
    Yan Ping Xin

    Purdue University West Lafayette, United States

    4 publications · 135 citations

    4

    h-index

  2. TL
    Ting‐Peng Liang

    National Sun Yat-sen University, Taiwan

    2 publications · 53 citations

    2

    h-index

  3. NN
    Nasrullah Nasrullah

    Nankai University, China

    2 publications · 36 citations

    2

    h-index

  4. SE
    Signe E. Kastberg

    Purdue University West Lafayette, United States

    2 publications · 43 citations

    2

    h-index

  5. CL
    Charles Leake

    University of Maryland, College Park, United States

    2 publications · 47 citations

    2

    h-index

1–5 of 317

Venues

  1. Journal of the Operational Research Society

    OR · 3 publications · 66 citations

    3

    h-index

  2. Procedia CIRP

    2 publications · 56 citations

    2

    h-index

  3. The Journal of Special Education

    2 publications · 62 citations

    2

    h-index

  4. RePEc: Research Papers in Economics

    Repository · 2 publications · 309 citations

    2

    h-index

  5. ZDM

    2 publications · 174 citations

    2

    h-index

1–5