Cluster-based Graph Drawing

Cluster-Based Graph Drawing is a multilevel graph visualization method that organizes vertices into hierarchical clusters to reduce visual complexity by abstracting intra-cluster structures while preserving inter-cluster relationships.

12

Publications

282

Citations

26

Authors

19

Institutions

Publications per year

2017–2026

1

Authors

26

  1. PE
    Peter Eades

    The University of Sydney, Australia

    2 publications · 118 citations

    2

    h-index

  2. WD
    Walter Didimo

    University of Perugia, Italy

    2 publications · 26 citations

    2

    h-index

  3. QF
    Qing-Wen Feng

    Kyoto University, Japan

    2 publications · 118 citations

    2

    h-index

  4. HN
    Hiroshi Nagamochi

    Kyoto University, Japan

    2 publications · 118 citations

    2

    h-index

  5. HO
    Hiroki Omote

    Japan Advanced Institute of Science and Technology, Japan

    2 publications · 27 citations

    2

    h-index

1–5 of 26

Venues

  1. Journal of Graph Algorithms and Applications

    JGAA · 2 publications · 54 citations

    2

    h-index

  2. Proceedings

    IV · 1 publications · 24 citations

    1

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 21 citations

    1

    h-index

  4. Algorithmica

    1 publications · 74 citations

    1

    h-index

  5. The Journal of Supercomputing

    1 publications · 12 citations

    1

    h-index

1–5