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

Authors

888

  1. TE
    Tayfun E. Tezduyar

    Rice University, United States

    3 publications · 306 citations

    3

    h-index

  2. SA
    S. Aliabadi

    University of Minnesota, United States

    2 publications · 294 citations

    2

    h-index

  3. YZ
    Yu Zhang

    Tsinghua University, China

    2 publications · 32 citations

    2

    h-index

  4. ML
    M. Litke

    University of Minnesota, United States

    2 publications · 294 citations

    2

    h-index

  5. VK
    V. Kalro

    University of Minnesota, United States

    2 publications · 294 citations

    2

    h-index

1–5 of 888

Venues

  1. Computers & Fluids

    6 publications · 256 citations

    6

    h-index

  2. Building and Environment

    5 publications · 1.5K citations

    5

    h-index

  3. AIAA Journal

    5 publications · 182 citations

    5

    h-index

  4. 4

    h-index

  5. Journal of Biomechanics

    4 publications · 251 citations

    4

    h-index

1–5