Lagrangian Flow Visualization is a pathline-based visualization technique that characterizes unsteady flow fields by tracking the trajectories of massless tracer particles over time, distinguished from other flow visualization methods through its adherence to the Lagrangian reference frame, which focuses on the histories of individual fluid elements.
20
Publications
871
Citations
64
Authors
25
Institutions
Publications per year
2017–2026
6
Parents
Publications
20
1–5 of 20
Authors
64
- GE
3
h-index
- XT
3
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- BJ
2
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- XY
2
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- MY
2
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1–5 of 64
Institutions
25
Leipzig University
Leipzig, Germany
2 h-index
4 publications
84 citations
Peking University
Beijing, China
2 h-index
5 publications
110 citations
University of California, Davis
Davis, United States
2 h-index
3 publications
229 citations
Florida State University
Tallahassee, United States
2 h-index
6 publications
255 citations
ETH Zurich
Zurich, Switzerland
2 h-index
5 publications
129 citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
3 publications
75 citations
LaVision (Germany)
Göttingen, Germany
1 h-index
1 publications
119 citations
Technische Universität Dresden
Dresden, Germany
1 h-index
4 publications
60 citations
1–8 of 25
Venues
- IEEE Transactions on Visualization and Computer Graphics
TVCG · 3 publications · 214 citations
3
h-index
- Experiments in Fluids
3 publications · 219 citations
3
h-index
- Computer Graphics Forum
2 publications · 45 citations
2
h-index
- Physics of Fluids A Fluid Dynamics
1 publications · 43 citations
1
h-index
- Time to knit
1 publications · 68 citations
1
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1–5