Adjacency Matrix Visualization

Adjacency Matrix Visualization is a graphical representation technique in graph and network visualization that uses a matrix layout to depict relationships between nodes, wherein the presence and strength of edges are encoded in the cells of a two-dimensional grid, differing from node-link diagrams by emphasizing structural patterns through position and color rather than spatial connectivity.

33

Publications

2K

Citations

91

Authors

43

Institutions

Publications per year

2017–2026

9

Authors

91

  1. JF
    Jean‐Daniel Fekete

    Institut national de recherche en sciences et technologies du numérique, France

    7 publications · 1.2K citations

    7

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  2. BB
    Benjamin Bach

    University of Edinburgh, United Kingdom

    4 publications · 434 citations

    4

    h-index

  3. CV
    Corinna Vehlow

    University of Stuttgart, Germany

    3 publications · 117 citations

    3

    h-index

  4. DW
    Daniel Weiskopf

    University of Stuttgart, Germany

    3 publications · 117 citations

    3

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  5. MJ
    Michael J. McGuffin

    École de Technologie Supérieure, Canada

    3 publications · 632 citations

    3

    h-index

1–5 of 91

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 5 publications · 688 citations

    5

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  2. Computer Graphics Forum

    3 publications · 279 citations

    3

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  3. Eurographics

    Repository · 2 publications · 117 citations

    2

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  4. arXiv (Cornell University)

    Repository · 1 publications · 17 citations

    1

    h-index

  5. 1

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1–5