Decision Uncertainty Visualization

Decision Uncertainty Visualization is a type of probabilistic visualization that specifically represents the uncertainty associated with decision outcomes or choices, distinguishing itself by visually encoding the likelihoods, trade-offs, and risks inherent in alternative decision paths under uncertain conditions.

6

Publications

467

Citations

28

Authors

21

Institutions

Publications per year

2017–2026

3

Authors

28

  1. HK
    Heidi Kramer

    University of Utah, United States

    1 publications · 143 citations

    1

    h-index

  2. PZ
    Pascale Zaraté

    Université Toulouse III - Paul Sabatier, France

    1 publications · 18 citations

    1

    h-index

  3. LW
    Logan Walls

    University of Washington, United States

    1 publications · 193 citations

    1

    h-index

  4. LP
    Lace Padilla

    University of California, Merced, United States

    1 publications · 143 citations

    1

    h-index

  5. SA
    Sean A. Munson

    University of Washington, United States

    1 publications · 193 citations

    1

    h-index

1–5 of 28

Venues

  1. PharmacoEconomics

    1 publications · 60 citations

    1

    h-index

  2. Journal of Cognitive Engineering and Decision Making

    JCEDM · 1 publications · 36 citations

    1

    h-index

  3. Journal of Oncology Practice

    JOP · 1 publications · 17 citations

    1

    h-index

  4. Operational Research

    1 publications · 18 citations

    1

    h-index

  5. Spatial Cognition and Computation

    1 publications · 143 citations

    1

    h-index

1–5