Correlation Uncertainty Visualization

Correlation Uncertainty Visualization is a multivariate uncertainty visualization method that specifically represents the uncertainty in statistical relationships between pairs of variables, distinguishing itself by encoding the reliability and variability of correlation coefficients in visual form.

4

Publications

137

Citations

9

Authors

3

Institutions

Publications per year

2017–2026

1

Authors

9

  1. TP
    Tobias Pfaffelmoser

    Technical University of Munich, Germany

    2 publications · 62 citations

    2

    h-index

  2. RW
    Rüdiger Westermann

    Technical University of Munich, Germany

    2 publications · 62 citations

    2

    h-index

  3. RW
    Ryan Wesslen

    University of North Carolina at Charlotte, United States

    1 publications · 35 citations

    1

    h-index

  4. PM
    Paolo Mazzoleni

    University of Catania, Italy

    1 publications · 40 citations

    1

    h-index

  5. EZ
    Emanuele Zappa

    Politecnico di Milano, Italy

    1 publications · 40 citations

    1

    h-index

1–5 of 9

Institutions

3

  1. Technical University of Munich

    Munich, Germany

    2 h-index

    4 publications

    124 citations

  2. Politecnico di Milano

    Milan, Italy

    1 h-index

    3 publications

    120 citations

  3. University of North Carolina at Charlotte

    Charlotte, United States

    1 h-index

    4 publications

    140 citations

1–3 of 3

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 35 citations

    1

    h-index

  2. Computer Graphics Forum

    1 publications · 47 citations

    1

    h-index

  3. Optics and Lasers in Engineering

    1 publications · 40 citations

    1

    h-index

  4. 1

    h-index

1–4