Spatial Constraint Satisfaction

Spatial Constraint Satisfaction is a constraint satisfaction framework that integrates spatial relationships and geometric reasoning to model and solve problems involving spatially referenced variables and domains.

101

Publications

4.5K

Citations

266

Authors

138

Institutions

Publications per year

2017–2026

18

Authors

266

  1. PR
    Péter Révész

    University of Nebraska–Lincoln, United States

    4 publications · 95 citations

    4

    h-index

  2. TR
    Terence R. Smith

    University of California, Santa Barbara, United States

    3 publications · 173 citations

    3

    h-index

  3. DP
    Dimitris Papadias

    Hong Kong University of Science and Technology, Hong Kong SAR China

    3 publications · 44 citations

    3

    h-index

  4. CA
    Can A. Baykan

    Carnegie Mellon University, United States

    3 publications · 149 citations

    3

    h-index

  5. SL
    Sanjiang Li

    University of Technology Sydney, Australia

    3 publications · 82 citations

    3

    h-index

1–5 of 266

Venues

  1. Computer-Aided Design

    3 publications · 94 citations

    3

    h-index

  2. IEEE Transactions on Image Processing

    2 publications · 50 citations

    2

    h-index

  3. 2

    h-index

  4. IEEE Geoscience and Remote Sensing Letters

    GRSL · 2 publications · 103 citations

    2

    h-index

  5. Neurocomputing

    2 publications · 32 citations

    2

    h-index

1–5