Model Uncertainty Visualization

Model Uncertainty Visualization is a form of uncertainty visualization that specifically represents the epistemic uncertainty arising from the structure, parameters, or assumptions of a computational or mathematical model.

65

Publications

3.6K

Citations

258

Authors

120

Institutions

Publications per year

2017–2026

21

Authors

258

  1. HK
    Horst K. Hahn

    Fraunhofer Institute for Digital Medicine, Germany

    2 publications · 31 citations

    2

    h-index

  2. WZ
    Weixin Zhao

    Southwest University of Science and Technology, China

    2 publications · 32 citations

    2

    h-index

  3. AK
    Aasim Kamal

    EMAG Technologies (United States), United States

    1 publications · 71 citations

    1

    h-index

  4. RW
    Ross Whitaker

    University of Utah, United States

    1 publications · 211 citations

    1

    h-index

  5. RL
    R. L. Perel

    Hebrew University of Jerusalem, Israel

    1 publications · 11 citations

    1

    h-index

1–5 of 258

Venues

  1. Computers & Geosciences

    CAGEO · 6 publications · 355 citations

    6

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 5 publications · 568 citations

    5

    h-index

  3. Computers & Graphics

    3 publications · 59 citations

    3

    h-index

  4. Computer Graphics Forum

    3 publications · 208 citations

    3

    h-index

  5. 2

    h-index

1–5