Visual Analytics For Uncertainty

Visual Analytics for Uncertainty is a subfield of visual analytics that integrates interactive visual representations and computational methods to enable the exploration, interpretation, and reasoning about uncertain data within analytical processes.

83

Publications

4.5K

Citations

311

Authors

135

Institutions

Publications per year

2017–2026

37

Authors

311

  1. YW
    Yingcai Wu

    Zhejiang University, China

    5 publications · 475 citations

    5

    h-index

  2. CG
    Christina Gillmann

    Leipzig University, Germany

    4 publications · 57 citations

    4

    h-index

  3. DA
    Daniel A. Keim

    University of Konstanz, Germany

    4 publications · 327 citations

    4

    h-index

  4. KM
    Kwan‐Liu Ma

    University of California, Davis, United States

    4 publications · 178 citations

    4

    h-index

  5. WC
    Wei Chen

    Zhejiang University, China

    4 publications · 170 citations

    4

    h-index

1–5 of 311

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 14 publications · 1K citations

    13

    h-index

  2. Computer Graphics Forum

    7 publications · 173 citations

    7

    h-index

  3. IEEE Computer Graphics and Applications

    5 publications · 358 citations

    5

    h-index

  4. Information Visualization

    3 publications · 93 citations

    3

    h-index

  5. Eurographics

    Repository · 3 publications · 75 citations

    3

    h-index

1–5