Topological Tracking

Topological Tracking is a computational method that identifies and monitors the evolution of topological features—such as connected components, loops, and voids—across a temporal or parametric sequence of scalar fields in topological data analysis.

15

Publications

542

Citations

56

Authors

24

Institutions

Publications per year

2017–2026

3

Authors

56

  1. HS
    Hans‐Peter Seidel

    Max Planck Institute for Informatics, Germany

    2 publications · 82 citations

    2

    h-index

  2. HT
    Holger Theisel

    Otto-von-Guericke-Universität Magdeburg, Germany

    2 publications · 82 citations

    2

    h-index

  3. VP
    Valerio Pascucci

    Lawrence Livermore National Laboratory, United States

    1 publications · 41 citations

    1

    h-index

  4. MG
    Marian Gidea

    Northeastern Illinois University, United States

    1 publications · 21 citations

    1

    h-index

  5. HA
    Hilderick A. van der Meiden

    Delft University of Technology, Netherlands

    1 publications · 20 citations

    1

    h-index

1–5 of 56

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 87 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 1 publications · 29 citations

    1

    h-index

  3. Computer Vision Graphics and Image Processing

    1 publications · 66 citations

    1

    h-index

  4. Mobile Networks and Applications

    MONET · 1 publications · 29 citations

    1

    h-index

  5. Journal of Physics Conference Series

    1 publications · 41 citations

    1

    h-index

1–5