Multiscale Scientific Visualization
Multiscale Scientific Visualization is a scientific visualization approach that enables the integrated representation and analysis of phenomena across multiple spatial and temporal scales, distinguishing itself by explicitly addressing cross-scale data relationships and interactions within complex scientific datasets.
15
Publications
403
Citations
48
Authors
27
Institutions
Publications per year
2017–2026
4
Parents
15
1–5 of 15
48
3
h-index
2
h-index
2
h-index
Institut national de recherche en sciences et technologies du numérique, France
2 publications · 50 citations
2
h-index
1
h-index
1–5 of 48
27

TU Wien
Vienna, Austria
3 h-index
12 publications
256 citations
VRVis GmbH (Austria)
Vienna, Austria
3 h-index
3 publications
66 citations

King Abdullah University of Science and Technology
Jeddah, Saudi Arabia
2 h-index
2 publications
40 citations
California Institute of Technology
Pasadena, United States
1 h-index
2 publications
52 citations

Universidad de Granada
Granada, Spain
1 h-index
6 publications
648 citations
Austrian Institute of Technology
Vienna, Austria
1 h-index
6 publications
156 citations

University of Rostock
Rostock, Germany
1 h-index
5 publications
95 citations
Louisiana State University
Baton Rouge, United States
1 h-index
2 publications
54 citations
1–8 of 27
TVCG · 3 publications · 74 citations
3
h-index
JASIST · 1 publications · 108 citations
1
h-index
1 publications · 34 citations
1
h-index
1 publications · 27 citations
1
h-index
CAGEO · 1 publications · 27 citations
1
h-index
1–5