Vector Field Uncertainty Visualization

Vector Field Uncertainty Visualization is a visualization methodology that characterizes and communicates the uncertainty associated with vector field data in volumetric spaces by encoding probabilistic or statistical variations in direction, magnitude, or spatial distribution of vector quantities.

9

Publications

619

Citations

26

Authors

9

Institutions

Publications per year

2017–2026

0

Authors

26

  1. AP
    Alex Pang

    University of California, Santa Cruz, United States

    2 publications · 283 citations

    2

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  2. SK
    Suresh K. Lodha

    University of California, Santa Cruz, United States

    2 publications · 283 citations

    2

    h-index

  3. HT
    Holger Theisel

    Otto-von-Guericke-Universität Magdeburg, Germany

    2 publications · 74 citations

    2

    h-index

  4. MO
    Mathias Otto

    Federal Agency for Nature Conservation, Germany

    2 publications · 74 citations

    2

    h-index

  5. CM
    Craig M. Wittenbrink

    University of California, Santa Cruz, United States

    2 publications · 283 citations

    2

    h-index

1–5 of 26

Venues

  1. Computer Graphics Forum

    2 publications · 91 citations

    2

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 359 citations

    2

    h-index

  3. 2

    h-index

  4. Future Generation Computer Systems

    FGCS · 1 publications · 16 citations

    1

    h-index

1–4