Topology-based Visualization

Topology-Based Visualization is a scientific visualization methodology that characterizes and renders complex data structures by extracting and depicting their underlying topological features, such as critical points, separatrices, and connected components, to reveal the inherent shape and connectivity of scalar fields.

517

Publications

63.7K

Citations

1.3K

Authors

525

Institutions

Publications per year

2017–2026

116

Authors

1.3K

  1. VP
    Valerio Pascucci

    Lawrence Livermore National Laboratory, United States

    22 publications · 1.6K citations

    18

    h-index

  2. GS
    Gerik Scheuermann

    Leipzig University, Germany

    18 publications · 1K citations

    17

    h-index

  3. PB
    Peer‐Timo Bremer

    Lawrence Livermore National Laboratory, United States

    15 publications · 1.3K citations

    15

    h-index

  4. XT
    Xavier Tricoche

    Purdue University West Lafayette, United States

    11 publications · 472 citations

    12

    h-index

  5. CG
    Christoph Garth

    University of Kaiserslautern, Germany

    10 publications · 449 citations

    10

    h-index

1–5 of 1.3K

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 73 publications · 4.4K citations

    39

    h-index

  2. Computer Graphics Forum

    30 publications · 2K citations

    22

    h-index

  3. Bioinformatics

    9 publications · 797 citations

    10

    h-index

  4. IEEE Computer Graphics and Applications

    10 publications · 1.1K citations

    10

    h-index

  5. IEEE Transactions on Neural Networks

    8 publications · 831 citations

    8

    h-index

1–5