Comparative Uncertainty Analysis

Comparative Uncertainty Analysis is a visual analytics methodology that systematically evaluates and contrasts uncertainty representations across multiple datasets, models, or visualization techniques to reveal differences in uncertainty structures, propagation, and interpretation within a given analytical context.

15

Publications

368

Citations

31

Authors

26

Institutions

Publications per year

2017–2026

6

Authors

31

  1. BM
    Boris Menin

    Center for Sustainable Future Technologies, Italy

    4 publications · 42 citations

    4

    h-index

  2. EL
    Erik Lindblom

    Technical University of Denmark, Denmark

    1 publications · 32 citations

    1

    h-index

  3. JB
    Jeroen B. Guinée

    Leiden University, Netherlands

    1 publications · 33 citations

    1

    h-index

  4. JP
    Jean‐Louis Peyraud

    Institut Agro Rennes-Angers, France

    1 publications · 10 citations

    1

    h-index

  5. HC
    HU Chang-qin

    National Institutes for Food and Drug Control, China

    1 publications · 37 citations

    1

    h-index

1–5 of 31

Venues

  1. Journal of Applied Mathematics and Physics

    JAMP · 2 publications · 20 citations

    2

    h-index

  2. Journal of Cleaner Production

    1 publications · 10 citations

    1

    h-index

  3. Physical Science International Journal

    1 publications · 10 citations

    1

    h-index

  4. Thermochimica Acta

    TA · 1 publications · 18 citations

    1

    h-index

  5. Water Science & Technology

    1 publications · 32 citations

    1

    h-index

1–5