Multi-scale Flow Visualization

Multi-Scale Flow Visualization is a computational framework in fluid dynamics that enables the coherent representation and analysis of pathlines across multiple spatial and temporal scales, integrating hierarchical data structures and adaptive sampling techniques to reveal both global flow patterns and localized coherent structures.

14

Publications

615

Citations

50

Authors

25

Institutions

Publications per year

2017–2026

3

Authors

50

  1. XZ
    Xi Zhu

    University of South Carolina, United States

    1 publications · 22 citations

    1

    h-index

  2. DB
    Duong B. Nguyen

    University of Houston, United States

    1 publications · 16 citations

    1

    h-index

  3. DW
    Daniel Weiskopf

    University of Stuttgart, Germany

    1 publications · 74 citations

    1

    h-index

  4. MR
    Martin Rumpf

    University of Bonn, Germany

    1 publications · 39 citations

    1

    h-index

  5. TG
    Taras Gerya

    ETH Zurich, Switzerland

    1 publications · 48 citations

    1

    h-index

1–5 of 50

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 107 citations

    3

    h-index

  2. Journal of Visualization

    1 publications · 21 citations

    1

    h-index

  3. 1

    h-index

  4. Computers Environment and Urban Systems

    1 publications · 22 citations

    1

    h-index

  5. IEEE Computer Graphics and Applications

    1 publications · 24 citations

    1

    h-index

1–5