Visual Encoding Of Uncertainty

Visual Encoding of Uncertainty is a graphical representation method that specifically conveys probabilistic information through visual variables such as color, texture, or opacity to communicate the degree and nature of uncertainty in data.

42

Publications

2.5K

Citations

129

Authors

90

Institutions

Publications per year

2017–2026

8

Authors

129

  1. PM
    Pascal Mamassian

    Centre National de la Recherche Scientifique, France

    3 publications · 225 citations

    3

    h-index

  2. AM
    Ann M. Bisantz

    University at Buffalo, State University of New York, United States

    3 publications · 192 citations

    3

    h-index

  3. RK
    Robert Kosara

    University of North Carolina at Charlotte, United States

    2 publications · 86 citations

    2

    h-index

  4. AD
    Aritra Dasgupta

    Pacific Northwest National Laboratory, United States

    2 publications · 86 citations

    2

    h-index

  5. MM
    Martial Mermillod

    Centre National de la Recherche Scientifique, France

    2 publications · 40 citations

    2

    h-index

1–5 of 129

Venues

  1. Journal of Vision

    4 publications · 197 citations

    4

    h-index

  2. 3

    h-index

  3. Experimental Brain Research

    2 publications · 93 citations

    2

    h-index

  4. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 125 citations

    2

    h-index

  5. Proceedings of the National Academy of Sciences

    PNAS · 2 publications · 209 citations

    2

    h-index

1–5