Interactive Uncertainty Visualization

Interactive Uncertainty Visualization is a scientific visualization method that enables users to dynamically explore, manipulate, and refine the representation of uncertain data through real-time user interactions, distinguishing it from static uncertainty visualizations by incorporating feedback-driven visual adjustments and interactive control over uncertainty presentation.

28

Publications

1.4K

Citations

95

Authors

50

Institutions

Publications per year

2017–2026

8

Authors

95

  1. PR
    Penny Rheingans

    University of Maryland, Baltimore County, United States

    3 publications · 255 citations

    3

    h-index

  2. JH
    Jessica Hullman

    University of Washington, United States

    2 publications · 306 citations

    2

    h-index

  3. GG
    George G. Robertson

    Palo Alto Research Center, United States

    2 publications · 65 citations

    2

    h-index

  4. CP
    Cynthia Parr

    University of Maryland, College Park, United States

    2 publications · 65 citations

    2

    h-index

  5. BL
    Bongshin Lee

    Microsoft (United States), United States

    2 publications · 65 citations

    2

    h-index

1–5 of 95

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 257 citations

    3

    h-index

  2. Information Visualization

    2 publications · 65 citations

    2

    h-index

  3. 2

    h-index

  4. 1

    h-index

  5. IEEE Transactions on Affective Computing

    TAC · 1 publications · 13 citations

    1

    h-index

1–5