Feature-based Flow Visualization

Feature-Based Flow Visualization is a type of flow visualization technique that identifies and renders salient structures in fluid flows by extracting and representing mathematically defined features such as vortices, separation lines, or stagnation points, thereby emphasizing physically meaningful flow behavior over volumetric or surface-level representations.

31

Publications

1.4K

Citations

79

Authors

35

Institutions

Publications per year

2017–2026

8

Authors

79

  1. HH
    Helwig Hauser

    University of Bergen, Norway

    5 publications · 563 citations

    5

    h-index

  2. RS
    Robert S. Laramee

    Swansea University, United Kingdom

    4 publications · 595 citations

    4

    h-index

  3. FH
    Frits H. Post

    Delft University of Technology, Netherlands

    4 publications · 504 citations

    4

    h-index

  4. HD
    Helmut Doleisch

    VRVis GmbH (Austria), Austria

    4 publications · 533 citations

    4

    h-index

  5. RP
    Ronald Peikert

    ETH Zurich, Switzerland

    3 publications · 83 citations

    3

    h-index

1–5 of 79

Venues

  1. IEEE Computer Graphics and Applications

    4 publications · 116 citations

    4

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  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 66 citations

    3

    h-index

  3. Computer Graphics Forum

    2 publications · 452 citations

    2

    h-index

  4. NASA Special Publication

    1 publications · 42 citations

    1

    h-index

  5. Computers & Fluids

    1 publications · 58 citations

    1

    h-index

1–5