Probabilistic Visualization

Probabilistic Visualization is a form of uncertainty visualization that specifically represents probabilistic data or stochastic models by encoding the likelihood of outcomes through visual variables, distinguishing it from other uncertainty visualizations by its reliance on formal probability distributions to quantify uncertainty.

89

Publications

5.5K

Citations

250

Authors

134

Institutions

Publications per year

2017–2026

31

Authors

250

  1. JH
    Jessica Hullman

    University of Washington, United States

    4 publications · 499 citations

    4

    h-index

  2. MK
    Matthew Kay

    University of Washington, United States

    4 publications · 467 citations

    4

    h-index

  3. CR
    Chris R. Johnson

    University of Utah, United States

    4 publications · 377 citations

    4

    h-index

  4. KB
    Karin Binder

    University of Regensburg, Germany

    3 publications · 120 citations

    3

    h-index

  5. KP
    Kristin Potter

    University of Utah, United States

    3 publications · 351 citations

    3

    h-index

1–5 of 250

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 16 publications · 1.1K citations

    16

    h-index

  2. Frontiers in Psychology

    6 publications · 227 citations

    6

    h-index

  3. Computer Graphics Forum

    4 publications · 242 citations

    4

    h-index

  4. 3

    h-index

  5. Weather Climate and Society

    2 publications · 146 citations

    2

    h-index

1–5