Connectivity Visualization

Connectivity Visualization is a multilayer network visualization method that specifically represents inter-layer and intra-layer relationships by encoding the structural and functional dependencies between nodes across different layers, thereby distinguishing itself from other visualization approaches through its focused emphasis on cross-layer connectivity patterns.

12

Publications

733

Citations

51

Authors

36

Institutions

Publications per year

2017–2026

3

Authors

51

  1. BA
    Başak Alper

    University of California, Santa Barbara, United States

    1 publications · 177 citations

    1

    h-index

  2. RA
    Roan A. LaPlante

    Athinoula A. Martinos Center for Biomedical Imaging, United States

    1 publications · 37 citations

    1

    h-index

  3. KB
    Keoma Brun‐Laguna

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

    1 publications · 28 citations

    1

    h-index

  4. BD
    Bruno Dubois

    Sorbonne Université, France

    1 publications · 120 citations

    1

    h-index

  5. GC
    Gang Chen

    Monash University, Australia

    1 publications · 24 citations

    1

    h-index

1–5 of 51

Venues

  1. Computer

    1 publications · 175 citations

    1

    h-index

  2. IEEE Pervasive Computing

    1 publications · 28 citations

    1

    h-index

  3. Computer Graphics Forum

    1 publications · 29 citations

    1

    h-index

  4. Cortex

    1 publications · 120 citations

    1

    h-index

  5. IEEE Transactions on Cognitive and Developmental Systems

    TCDS · 1 publications · 49 citations

    1

    h-index

1–5