Supersonic Flow Visualization

Supersonic Flow Visualization is a diagnostic methodology in fluid dynamics that employs optical, numerical, or experimental techniques to render and interpret the spatial and temporal characteristics of airflow features, such as shock waves and expansion fans, occurring in regimes where the flow velocity exceeds the speed of sound.

76

Publications

2.7K

Citations

223

Authors

82

Institutions

Publications per year

2017–2026

13

Authors

223

  1. SY
    Shihe Yi

    National University of Defense Technology, China

    4 publications · 310 citations

    4

    h-index

  2. MO
    Masanori Ota

    Chiba University, Japan

    3 publications · 146 citations

    3

    h-index

  3. KM
    Kazuo Maeno

    Chiba University, Japan

    3 publications · 146 citations

    3

    h-index

  4. GS
    Gary S. Settles

    Pennsylvania State University, United States

    3 publications · 116 citations

    3

    h-index

  5. CS
    Chelakara Subramanian

    Florida Institute of Technology, United States

    2 publications · 34 citations

    2

    h-index

1–5 of 223

Venues

  1. Journal of Visualization

    9 publications · 255 citations

    9

    h-index

  2. AIAA Journal

    8 publications · 323 citations

    8

    h-index

  3. Experiments in Fluids

    7 publications · 529 citations

    7

    h-index

  4. Shock Waves

    4 publications · 121 citations

    4

    h-index

  5. Applied Optics

    4 publications · 91 citations

    4

    h-index

1–5