Experimental Flow Visualization

Experimental Flow Visualization is a methodological approach within flow visualization that employs empirical techniques to capture and analyze fluid motion through physical experiments, distinguishing it from computational or theoretical visualization strategies by its reliance on real-world observational data.

363

Publications

15.3K

Citations

1.1K

Authors

378

Institutions

Publications per year

2017–2026

63

Authors

1.1K

  1. YA
    Yassin A. Hassan

    Texas A&M University, United States

    4 publications · 243 citations

    4

    h-index

  2. MJ
    M. J. Braun

    University of Akron, United States

    3 publications · 51 citations

    3

    h-index

  3. YO
    Yuko Oshima

    Ochanomizu University, Japan

    3 publications · 150 citations

    3

    h-index

  4. MB
    Minli Bai

    Dalian University of Technology, China

    3 publications · 64 citations

    3

    h-index

  5. RK
    Ronald K. Hanson

    Stanford University, United States

    3 publications · 207 citations

    3

    h-index

1–5 of 1.1K

Venues

  1. Experimental Thermal and Fluid Science

    ETFS · 17 publications · 660 citations

    14

    h-index

  2. Experiments in Fluids

    21 publications · 1K citations

    14

    h-index

  3. 12

    h-index

  4. Physics of Fluids

    11 publications · 520 citations

    11

    h-index

  5. Journal of Visualization

    11 publications · 238 citations

    10

    h-index

1–5