Monte Carlo Visualization

Monte Carlo Visualization is a probabilistic visualization method that utilizes repeated random sampling and statistical aggregation to represent uncertainty and variability in data through visual means.

7

Publications

438

Citations

18

Authors

7

Institutions

Publications per year

2017–2026

5

Authors

18

  1. AL
    Anthony Lee

    The Tavistock and Portman NHS Foundation Trust, United Kingdom

    1 publications · 27 citations

    1

    h-index

  2. SK
    Samuel Kaski

    Aalto University, Finland

    1 publications · 10 citations

    1

    h-index

  3. JG
    Jochen Görtler

    University of Konstanz, Germany

    1 publications · 83 citations

    1

    h-index

  4. AA
    Abdo Abou Jaoudé

    Notre Dame University – Louaize, Lebanon

    1 publications · 11 citations

    1

    h-index

  5. CY
    Casey Youngflesh

    University of California, Los Angeles, United States

    1 publications · 118 citations

    1

    h-index

1–5 of 18

Venues

  1. The Journal of Open Source Software

    JOSS · 2 publications · 210 citations

    2

    h-index

  2. Systems Science & Control Engineering

    SSCE · 1 publications · 11 citations

    1

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 83 citations

    1

    h-index

  4. 1

    h-index

  5. Journal of Computational and Graphical Statistics

    JCGS · 1 publications · 27 citations

    1

    h-index

1–5