Dense Flow Visualization

Dense Flow Visualization is a streamline visualization method that distinguishes itself by generating integral curves densely across the entire flow domain to maximize spatial coverage and reveal intricate flow structures without user-defined seeding.

28

Publications

1.7K

Citations

79

Authors

48

Institutions

Publications per year

2017–2026

3

Authors

79

  1. TE
    Thomas Ertl

    University of Stuttgart, Germany

    5 publications · 161 citations

    5

    h-index

  2. DW
    Daniel Weiskopf

    University of Stuttgart, Germany

    5 publications · 455 citations

    5

    h-index

  3. RM
    Robert Moorhead

    Mississippi State University, United States

    3 publications · 64 citations

    3

    h-index

  4. ZL
    Zhanping Liu

    Mississippi State University, United States

    3 publications · 64 citations

    3

    h-index

  5. JJ
    Jarke J. van Wijk

    Eindhoven University of Technology, Netherlands

    2 publications · 124 citations

    2

    h-index

1–5 of 79

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 9 publications · 272 citations

    9

    h-index

  2. Digital Library (University of West Bohemia)

    Repository · 2 publications · 52 citations

    2

    h-index

  3. Computer Graphics Forum

    2 publications · 367 citations

    2

    h-index

  4. Journal of Molecular Biology

    JMB · 1 publications · 26 citations

    1

    h-index

  5. 1

    h-index

1–5