Seeding Strategies

Seeding Strategies is a methodological framework in flow visualization that determines the initial placement and distribution of seed points for generating pathlines, distinguishing itself by systematically influencing the coverage, accuracy, and interpretability of the resulting visual representation.

173

Publications

11.1K

Citations

799

Authors

291

Institutions

Publications per year

2017–2026

44

Authors

799

  1. DK
    David Kao

    University of Colorado Denver, United States

    3 publications · 300 citations

    3

    h-index

  2. EW
    Edmond W. Holroyd

    United States Bureau of Reclamation, United States

    3 publications · 75 citations

    3

    h-index

  3. JH
    James H. Andrews

    Western University, Canada

    3 publications · 1.6K citations

    3

    h-index

  4. YL
    Yvan Labiche

    Carleton University, Canada

    3 publications · 1.6K citations

    3

    h-index

  5. CS
    Chester Shu

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 52 citations

    3

    h-index

1–5 of 799

Venues

  1. Experiments in Fluids

    5 publications · 195 citations

    5

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 4 publications · 238 citations

    4

    h-index

  3. Journal of applied meteorology

    3 publications · 74 citations

    3

    h-index

  4. Rangeland Ecology & Management

    REM · 3 publications · 105 citations

    3

    h-index

  5. Journal of Applied Meteorology

    3 publications · 80 citations

    3

    h-index

1–5