Multi-scale Uncertainty Visualization
Multi-Scale Uncertainty Visualization is a network visualization framework that integrates uncertainty representation across multiple levels of data granularity, enabling the simultaneous depiction of uncertain topological structures at both local and global scales through coordinated visual abstractions.
4
Publications
207
Citations
17
Authors
9
Institutions
Publications per year
2017–2026
2
4
Recent advances and challenges in uncertainty visualization: a survey
Aasim Kamal, Parashar Dhakal, Ahmad Y. Javaid et al. · Journal of Visualization · 2021 · 71 citations
1–5 of 4
17
1
h-index
1
h-index
Laboratoire Traitement et Communication de l’Information, France
1 publications · 48 citations
1
h-index
1
h-index
1
h-index
1–5 of 17
9
EMAG Technologies (United States)
Ann Arbor, United States
1 h-index
2 publications
142 citations
University of Toledo
Toledo, United States
1 h-index
3 publications
213 citations
Purdue University Northwest
Hammond, United States
1 h-index
1 publications
71 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
3 publications
144 citations
University of California, Davis
Davis, United States
1 h-index
3 publications
42 citations

Télécom Paris
Palaiseau, France
1 h-index
3 publications
144 citations
University of Stuttgart
Stuttgart, Germany
1 h-index
4 publications
296 citations
Laboratoire Traitement et Communication de l’Information
Palaiseau, France
1 h-index
3 publications
144 citations
1–8 of 9
TVCG · 1 publications · 74 citations
1
h-index
1 publications · 71 citations
1
h-index
1 publications · 48 citations
1
h-index
1 publications · 14 citations
1
h-index
1 publications · 11 citations
1–5