Visual Analytics For Graphs

Visual Analytics for Graphs is a visual analytics methodology that integrates interactive graph visualization and computational analysis to support the exploration, interpretation, and reasoning over complex relational data structures.

114

Publications

4.7K

Citations

369

Authors

177

Institutions

Publications per year

2017–2026

43

Variants

Graph Visual Analytics

Authors

369

  1. PC
    Pak Chung Wong

    Pacific Northwest National Laboratory, United States

    5 publications · 116 citations

    5

    h-index

  2. HF
    H.P. Foote

    Pacific Northwest National Laboratory, United States

    5 publications · 116 citations

    5

    h-index

  3. PM
    Patrick Mackey

    Pacific Northwest National Laboratory, United States

    5 publications · 116 citations

    5

    h-index

  4. WH
    Weidong Huang

    University of Technology Sydney, Australia

    4 publications · 97 citations

    4

    h-index

  5. DH
    Duen Horng Chau

    Georgia Institute of Technology, United States

    4 publications · 153 citations

    4

    h-index

1–5 of 369

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 14 publications · 482 citations

    14

    h-index

  2. Computer Graphics Forum

    4 publications · 136 citations

    4

    h-index

  3. Journal of Visual Languages & Computing

    JVLC · 3 publications · 128 citations

    3

    h-index

  4. Visual Informatics

    3 publications · 163 citations

    3

    h-index

  5. 2

    h-index

1–5