Lagrangian Feature Extraction

Lagrangian Feature Extraction is a methodological framework in flow feature extraction that identifies and tracks coherent structures by following individual fluid particles over time, distinguished from Eulerian approaches through its particle-centric, trajectory-based analysis.

12

Publications

496

Citations

49

Authors

29

Institutions

Publications per year

2017–2026

7

Authors

49

  1. AM
    Ana M. Mancho

    Institute of Mathematical Sciences, Spain

    2 publications · 192 citations

    2

    h-index

  2. SW
    Stephen Wiggins

    University of Bristol, United Kingdom

    2 publications · 54 citations

    2

    h-index

  3. HH
    Hans‐Christian Hege

    Zuse Institute Berlin, Germany

    2 publications · 90 citations

    2

    h-index

  4. VJ
    Víctor J. García‐Garrido

    University of Bristol, United Kingdom

    2 publications · 54 citations

    2

    h-index

  5. SN
    Shibabrat Naik

    University of Bristol, United Kingdom

    1 publications · 27 citations

    1

    h-index

1–5 of 49

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 81 citations

    2

    h-index

  2. Physics of Fluids

    2 publications · 52 citations

    2

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. Explore Bristol Research

    Repository · 1 publications · 27 citations

    1

    h-index

1–5