Uncertainty Visualization Design

Uncertainty Visualization Design is a scholarly methodological construct that prescribes the principles and techniques for encoding probabilistic, ambiguous, or incomplete data in visual representations to support accurate interpretation and reasoning under uncertainty.

31

Publications

2.7K

Citations

110

Authors

58

Institutions

Publications per year

2017–2026

12

Authors

110

  1. JH
    Jessica Hullman

    University of Washington, United States

    3 publications · 628 citations

    3

    h-index

  2. MK
    Matthew Kay

    University of Washington, United States

    3 publications · 628 citations

    3

    h-index

  3. SC
    Sheelagh Carpendale

    University of Calgary, Canada

    2 publications · 65 citations

    2

    h-index

  4. CM
    Craig M. Wittenbrink

    University of California, Santa Cruz, United States

    2 publications · 795 citations

    2

    h-index

  5. WB
    William B. Thompson

    University of Utah, United States

    2 publications · 176 citations

    2

    h-index

1–5 of 110

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 6 publications · 663 citations

    6

    h-index

  2. 3

    h-index

  3. Cartography and Geographic Information Science

    2 publications · 148 citations

    2

    h-index

  4. Computers & Geosciences

    CAGEO · 1 publications · 13 citations

    1

    h-index

  5. Journal of Experimental Psychology Applied

    1 publications · 33 citations

    1

    h-index

1–5