Feature-guided Flow Visualization

Feature-Guided Flow Visualization is a flow visualization paradigm that belongs to the class of feature-based visualization techniques, distinguished by its explicit integration of extracted flow features as primary guides for rendering and enhancing the visual representation of fluid dynamics.

9

Publications

301

Citations

32

Authors

15

Institutions

Publications per year

2017–2026

3

Authors

32

  1. HH
    Helwig Hauser

    University of Bergen, Norway

    2 publications · 84 citations

    2

    h-index

  2. CG
    Christoph Garth

    University of Kaiserslautern, Germany

    2 publications · 84 citations

    2

    h-index

  3. RS
    Robert S. Laramee

    Swansea University, United Kingdom

    2 publications · 84 citations

    2

    h-index

  4. HD
    Helmut Doleisch

    VRVis GmbH (Austria), Austria

    2 publications · 84 citations

    2

    h-index

  5. RP
    Ronald Peikert

    ETH Zurich, Switzerland

    2 publications · 53 citations

    2

    h-index

1–5 of 32

Venues

  1. Computers & Fluids

    1 publications · 58 citations

    1

    h-index

  2. IEEE Computer Graphics and Applications

    1 publications · 11 citations

    1

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 47 citations

    1

    h-index

1–3