Ensemble Visualization

Ensemble Visualization is a method within the field of uncertainty visualization that integrates multiple related data realizations or simulations to characterize and communicate spatial and probabilistic uncertainty, particularly in multivariate, scientific, and risk contexts, by visually encoding variability, coherence, and likelihood across the ensemble members.

47

Publications

2.8K

Citations

135

Authors

62

Institutions

Publications per year

2017–2026

13

Authors

135

  1. RW
    Rüdiger Westermann

    Technical University of Munich, Germany

    7 publications · 462 citations

    7

    h-index

  2. HO
    Harald Obermaier

    University of California, Davis, United States

    5 publications · 219 citations

    5

    h-index

  3. KI
    Kenneth I. Joy

    University of California, Davis, United States

    5 publications · 219 citations

    5

    h-index

  4. MM
    Mahsa Mirzargar

    University of Utah, United States

    5 publications · 575 citations

    5

    h-index

  5. LP
    Lace Padilla

    University of California, Merced, United States

    4 publications · 220 citations

    4

    h-index

1–5 of 135

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 22 publications · 1.6K citations

    19

    h-index

  2. 2

    h-index

  3. Geoscientific model development

    2 publications · 112 citations

    2

    h-index

  4. IEEE Computer Graphics and Applications

    2 publications · 82 citations

    2

    h-index

  5. Journal of Experimental Psychology Applied

    1 publications · 33 citations

    1

    h-index

1–5