Geometric Data Types

Geometric Data Types is a data modeling construct in spatial database systems that represents the formal classification of geometric primitives—such as points, lines, and polygons—distinguished by their dimensionality, topological properties, and operations defined within a coordinate space.

91

Publications

5.5K

Citations

226

Authors

111

Institutions

Publications per year

2017–2026

10

Authors

226

  1. MS
    Markus Schneider

    University of Florida, United States

    4 publications · 1K citations

    4

    h-index

  2. KM
    Kurt Mehlhorn

    Max Planck Institute for Informatics, Germany

    4 publications · 133 citations

    4

    h-index

  3. RS
    Reijo Sulonen

    Aalto University, Finland

    3 publications · 103 citations

    3

    h-index

  4. MT
    Markku Tamminen

    Helsinki Institute for Information Technology, Finland

    3 publications · 103 citations

    3

    h-index

  5. MS
    Michael Seel

    Max Planck Institute for Informatics, Germany

    3 publications · 95 citations

    3

    h-index

1–5 of 226

Venues

  1. Computer Graphics Forum

    3 publications · 146 citations

    3

    h-index

  2. Research Repository (Delft University of Technology)

    Repository · 2 publications · 26 citations

    2

    h-index

  3. Computational Geometry

    2 publications · 171 citations

    2

    h-index

  4. 2

    h-index

  5. Journal of Computer and System Sciences

    2 publications · 55 citations

    2

    h-index

1–5