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
15
Reinout Heijungs, Jeroen B. Guinée, Angelica Mendoza Beltrán et al. · The International Journal of Life Cycle Assessment · 2019 · 33 citations · Full text
1–5 of 15
31
4
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 31
26
National Institutes for Food and Drug Control
Beijing, China
2 h-index
5 publications
128 citations

Université Toulouse III - Paul Sabatier
Toulouse, France
1 h-index
2 publications
210 citations

Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
1 h-index
4 publications
132 citations
LIP6
Paris, France
1 h-index
1 publications
105 citations
Technical University of Denmark
Kongens Lyngby, Denmark
1 h-index
3 publications
96 citations
WorldFish
George Town, Malaysia
1 h-index
1 publications
33 citations

University of Cologne
Cologne, Germany
1 h-index
2 publications
48 citations

Sorbonne Université
Paris, France
1 h-index
1 publications
105 citations
1–8 of 26
JAMP · 2 publications · 20 citations
2
h-index
1 publications · 10 citations
1
h-index
1 publications · 10 citations
1
h-index
TA · 1 publications · 18 citations
1
h-index
1 publications · 32 citations
1
h-index
1–5