Integral Curve Visualization
Integral Curve Visualization is a method in multiscale flow visualization that constructs and renders trajectories of fluid particles over time to reveal coherent structures and dynamic behaviors in vector fields by integrating velocity data across spatial and temporal domains.
14
Publications
711
Citations
36
Authors
15
Institutions
Publications per year
2017–2026
1
14
1–5 of 14
36
4
h-index
3
h-index
3
h-index
3
h-index
3
h-index
1–5 of 36
15
Brown University
Providence, United States
3 h-index
20 publications
1.4K citations
Michigan Technological University
Houghton, United States
2 h-index
6 publications
111 citations
Otto-von-Guericke-Universität Magdeburg
Magdeburg, Germany
2 h-index
4 publications
54 citations

Zuse Institute Berlin
Berlin, Germany
2 h-index
4 publications
319 citations

Lawrence Livermore National Laboratory
Livermore, United States
2 h-index
6 publications
291 citations

Butler Hospital
Providence, United States
1 h-index
1 publications
41 citations
California Institute of Technology
Pasadena, United States
1 h-index
2 publications
62 citations
John Brown University
Siloam Springs, United States
1 h-index
3 publications
138 citations
1–8 of 15
TVCG · 3 publications · 211 citations
3
h-index
2 publications · 27 citations
2
h-index
Repository · 1 publications · 60 citations
1
h-index
1 publications · 11 citations
1
h-index
TOG · 1 publications · 31 citations
1
h-index
1–5