Homology-based Visualization

Homology-Based Visualization is a topology-based visualization method that uses homology, a mathematical framework from algebraic topology, to characterize and visualize the high-level structure of data by identifying and representing its connected components, holes, and voids across multiple dimensions and scales.

3

Publications

111

Citations

8

Authors

7

Institutions

Publications per year

2017–2026

1

Authors

8

  1. PR
    Paul Rosen

    University of Utah, United States

    1 publications · 38 citations

    1

    h-index

  2. BW
    Bei Wang

    University of Utah, United States

    1 publications · 38 citations

    1

    h-index

  3. CS
    Carlos Scheidegger

    University of Utah, United States

    1 publications · 38 citations

    1

    h-index

  4. AS
    Ashley Suh

    Tufts University, United States

    1 publications · 38 citations

    1

    h-index

  5. BR
    Bastian Rieck

    ETH Zurich, Switzerland

    1 publications · 59 citations

    1

    h-index

1–5 of 8

Venues

  1. Journal of Molecular Graphics

    1 publications · 14 citations

    1

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 38 citations

    1

    h-index

  3. Computer Graphics Forum

    1 publications · 59 citations

    1

    h-index

  4. Frontiers in Artificial Intelligence

    1 publications · 11 citations

1–4