Vector Field Compression

Vector Field Compression is a computational method that reduces the storage and transmission requirements of vector field data while preserving its essential structural and directional characteristics for visualization purposes.

16

Publications

435

Citations

41

Authors

16

Institutions

Publications per year

2017–2026

3

Authors

41

  1. HG
    Hanqi Guo

    Argonne National Laboratory, United States

    3 publications · 86 citations

    3

    h-index

  2. HS
    Hans‐Peter Seidel

    Max Planck Institute for Informatics, Germany

    2 publications · 57 citations

    2

    h-index

  3. SK
    Suresh K. Lodha

    University of California, Santa Cruz, United States

    2 publications · 72 citations

    2

    h-index

  4. KM
    Krishna M. Roskin

    Stanford University, United States

    2 publications · 72 citations

    2

    h-index

  5. FC
    Franck Cappello

    Argonne National Laboratory, United States

    2 publications · 46 citations

    2

    h-index

1–5 of 41

Venues

  1. IEEE Visualization

    Conference · 2 publications · 64 citations

    2

    h-index

  2. Computer Graphics Forum

    1 publications · 37 citations

    1

    h-index

  3. Journal of Computational Physics

    1 publications · 27 citations

    1

    h-index

  4. Geometry & Topology

    1 publications · 54 citations

    1

    h-index

  5. IEEE Computer Graphics and Applications

    1 publications · 40 citations

    1

    h-index

1–5