Flow Feature Extraction

Flow Feature Extraction is a computational process in flow visualization that identifies and isolates characteristic structures or patterns within fluid flow data by distinguishing them from background flow based on specific quantitative or topological criteria.

1.1K

Publications

69.9K

Citations

3.5K

Authors

1.1K

Institutions

Publications per year

2017–2026

561

Authors

3.5K

  1. HT
    Holger Theisel

    Otto-von-Guericke-Universität Magdeburg, Germany

    14 publications · 575 citations

    13

    h-index

  2. EN
    Ehsan Nazemi

    Kermanshah University of Technology, Iran

    13 publications · 807 citations

    12

    h-index

  3. FD
    Feng Dong

    Tianjin University, China

    13 publications · 309 citations

    12

    h-index

  4. GH
    Gholam Hossein Roshani

    Kermanshah University of Technology, Iran

    10 publications · 707 citations

    10

    h-index

  5. GS
    Gerik Scheuermann

    Leipzig University, Germany

    9 publications · 176 citations

    9

    h-index

1–5 of 3.5K

Venues

  1. Physics of Fluids

    66 publications · 3.5K citations

    32

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 32 publications · 1.3K citations

    23

    h-index

  3. Experiments in Fluids

    30 publications · 1.7K citations

    21

    h-index

  4. Journal of Fluid Mechanics

    23 publications · 8.2K citations

    20

    h-index

  5. Flow Measurement and Instrumentation

    19 publications · 786 citations

    15

    h-index

1–5