Computational Fluid Dynamics Postprocessing
Computational Fluid Dynamics Postprocessing is a computational methodology within the broader domain of scientific visualization that specifically entails the analysis, interpretation, and graphical representation of flow field data generated by numerical simulations to extract and communicate physically meaningful features such as pathlines, streamlines, and vortical structures.
238
Publications
11.1K
Citations
888
Authors
344
Institutions
Publications per year
2017–2026
74
Parents
238
1–5 of 238
888
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344

Boeing (United States)
Chicago, United States
6 h-index
30 publications
1.3K citations

Ames Research Center
Mountain View, United States
6 h-index
8 publications
211 citations
Politecnico di Milano
Milan, Italy
4 h-index
14 publications
532 citations

University of Minnesota
Minneapolis, United States
4 h-index
15 publications
1.8K citations

Pennsylvania State University
State College, United States
4 h-index
13 publications
426 citations
Stanford University
Stanford, United States
4 h-index
14 publications
307 citations

City, University of London
London, United Kingdom
3 h-index
8 publications
438 citations

Langley Research Center
Hampton, United States
3 h-index
5 publications
136 citations
1–8 of 344
6 publications · 256 citations
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5 publications · 1.5K citations
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5 publications · 182 citations
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4 publications · 119 citations
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4 publications · 251 citations
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1–5