Uncertainty Visualization In Vector Fields

Uncertainty Visualization in Vector Fields is a specialized methodological framework within scientific visualization that characterizes and graphically renders the uncertainty associated with vector-valued data by encoding probabilistic or interval-based variations in vector direction, magnitude, or position to support accurate interpretation and analysis of uncertain flow and field behaviors.

14

Publications

768

Citations

44

Authors

17

Institutions

Publications per year

2017–2026

1

Authors

44

  1. CM
    Craig M. Wittenbrink

    University of California, Santa Cruz, United States

    2 publications · 283 citations

    2

    h-index

  2. HT
    Holger Theisel

    Otto-von-Guericke-Universität Magdeburg, Germany

    2 publications · 74 citations

    2

    h-index

  3. MO
    Mathias Otto

    Federal Agency for Nature Conservation, Germany

    2 publications · 74 citations

    2

    h-index

  4. AP
    Alex Pang

    University of California, Santa Cruz, United States

    2 publications · 283 citations

    2

    h-index

  5. SK
    Suresh K. Lodha

    University of California, Santa Cruz, United States

    2 publications · 283 citations

    2

    h-index

1–5 of 44

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 4 publications · 461 citations

    4

    h-index

  2. Computer Graphics Forum

    2 publications · 91 citations

    2

    h-index

  3. 2

    h-index

  4. Journal of Visual Languages & Computing

    JVLC · 1 publications · 10 citations

    1

    h-index

  5. Journal of Computational Physics

    1 publications · 27 citations

    1

    h-index

1–5