Dense Flow Visualization
Dense Flow Visualization is a streamline visualization method that distinguishes itself by generating integral curves densely across the entire flow domain to maximize spatial coverage and reveal intricate flow structures without user-defined seeding.
28
Publications
1.7K
Citations
79
Authors
48
Institutions
Publications per year
2017–2026
3
28
Ryad Benosman, Charles De Clercq, Xavier Lagorce et al. · IEEE Transactions on Neural Networks and Learning Systems · 2013 · 401 citations
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48
University of Stuttgart
Stuttgart, Germany
5 h-index
8 publications
558 citations
Mississippi State University
Starkville, United States
3 h-index
7 publications
145 citations
University of Utah
Salt Lake City, United States
3 h-index
6 publications
153 citations
Los Alamos National Laboratory
Los Alamos, United States
2 h-index
6 publications
280 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
2 h-index
3 publications
134 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
6 publications
441 citations
Simon Fraser University
Burnaby, Canada
2 h-index
2 publications
46 citations
VRVis GmbH (Austria)
Vienna, Austria
1 h-index
3 publications
1K citations
1–8 of 48
TVCG · 9 publications · 272 citations
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Repository · 2 publications · 52 citations
2
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2 publications · 367 citations
2
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JMB · 1 publications · 26 citations
1
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1 publications · 401 citations
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