Multivariate Uncertainty Visualization

Multivariate Uncertainty Visualization is a subfield of uncertainty visualization that focuses on the representation and communication of uncertainty in multivariate datasets, distinguishing itself by simultaneously depicting the uncertainty associated with multiple interdependent variables and their correlations.

25

Publications

1.4K

Citations

79

Authors

41

Institutions

Publications per year

2017–2026

8

Authors

79

  1. AP
    Alex Pang

    University of California, Santa Cruz, United States

    2 publications · 100 citations

    2

    h-index

  2. OM
    Olav M. Kvalheim

    University of Bergen, Norway

    2 publications · 38 citations

    2

    h-index

  3. NT
    N. Telnæs

    Norsk Hydro (Norway), Norway

    2 publications · 38 citations

    2

    h-index

  4. AY
    Ahmad Y. Javaid

    University of Toledo, United States

    1 publications · 71 citations

    1

    h-index

  5. FM
    Federico Marini

    Sapienza University of Rome, Italy

    1 publications · 31 citations

    1

    h-index

1–5 of 79

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 7 publications · 277 citations

    7

    h-index

  2. Computer Graphics Forum

    2 publications · 163 citations

    2

    h-index

  3. Analytica Chimica Acta

    2 publications · 38 citations

    2

    h-index

  4. IFIP International Federation for Information Processing/IFIP

    Book series · 1 publications · 184 citations

    1

    h-index

  5. Journal of Visualization

    1 publications · 71 citations

    1

    h-index

1–5