Ensemble Uncertainty Visualization

Ensemble Uncertainty Visualization is a methodological framework within uncertainty visualization that represents and communicates uncertainty in model predictions by aggregating and visually encoding the variability across multiple realizations or simulations from an ensemble of models or runs.

22

Publications

2K

Citations

85

Authors

33

Institutions

Publications per year

2017–2026

7

Authors

85

  1. MM
    Mahsa Mirzargar

    University of Utah, United States

    5 publications · 575 citations

    5

    h-index

  2. RW
    Ross Whitaker

    University of Utah, United States

    4 publications · 410 citations

    4

    h-index

  3. RM
    Robert M. Kirby

    University of Utah, United States

    3 publications · 399 citations

    3

    h-index

  4. DH
    Donald H. House

    Texas A&M University, United States

    3 publications · 286 citations

    3

    h-index

  5. SH
    Sarah H. Creem-Regehr

    University of Utah, United States

    2 publications · 176 citations

    2

    h-index

1–5 of 85

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 14 publications · 1.5K citations

    14

    h-index

  2. Journal of Computational and Graphical Statistics

    JCGS · 1 publications · 11 citations

    1

    h-index

  3. Geoscientific model development

    1 publications · 72 citations

    1

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5