Computational Fluid Dynamics Post-processing

Computational Fluid Dynamics Post-Processing is a computational methodology within the broader domain of Computational Fluid Dynamics Visualization that involves the systematic analysis, interpretation, and transformation of raw simulation data into meaningful flow field representations, distinguishing itself by focusing exclusively on the extraction, refinement, and visualization of quantitative fluid dynamics features after the completion of numerical simulations.

126

Publications

7.3K

Citations

389

Authors

170

Institutions

Publications per year

2017–2026

24

Authors

389

  1. SS
    Stanly Steinberg

    University of New Mexico, United States

    3 publications · 209 citations

    3

    h-index

  2. PJ
    Patrick J. Roache

    Electrodynamics Associates (United States), United States

    3 publications · 209 citations

    3

    h-index

  3. TK
    Theodore Kim

    University of California, Santa Barbara, United States

    3 publications · 128 citations

    3

    h-index

  4. NF
    Nenad Filipović

    University of Kragujevac, Serbia

    2 publications · 51 citations

    2

    h-index

  5. NS
    Nilay Sezer‐Uzol

    Pennsylvania State University, United States

    2 publications · 25 citations

    2

    h-index

1–5 of 389

Venues

  1. Computer Physics Communications

    5 publications · 230 citations

    5

    h-index

  2. AIAA Journal

    3 publications · 141 citations

    3

    h-index

  3. Computers & Fluids

    3 publications · 126 citations

    3

    h-index

  4. ACM Transactions on Graphics

    TOG · 3 publications · 128 citations

    3

    h-index

  5. 3

    h-index

1–5