Network Data Exploration

Network Data Exploration is a method within the field of visual data exploration that specifically enables the immersive examination and interaction with relational data structures by encoding entities and their interconnections in multidimensional visual environments to reveal patterns, clusters, and anomalies inherent in complex networks.

114

Publications

16.6K

Citations

398

Authors

197

Institutions

Publications per year

2017–2026

41

Authors

398

  1. JF
    Jean‐Daniel Fekete

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

    4 publications · 305 citations

    4

    h-index

  2. CP
    Catherine Plaisant

    University of Maryland, College Park, United States

    3 publications · 97 citations

    3

    h-index

  3. BB
    Benjamin Bach

    University of Edinburgh, United Kingdom

    3 publications · 154 citations

    3

    h-index

  4. BL
    Bongshin Lee

    Microsoft (United States), United States

    3 publications · 206 citations

    3

    h-index

  5. JJ
    Jarke J. van Wijk

    Eindhoven University of Technology, Netherlands

    2 publications · 304 citations

    2

    h-index

1–5 of 398

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 9 publications · 1K citations

    9

    h-index

  2. PLoS ONE

    2 publications · 148 citations

    3

    h-index

  3. Computer Graphics Forum

    3 publications · 200 citations

    3

    h-index

  4. Bioinformatics

    3 publications · 85 citations

    3

    h-index

  5. Social Networks

    2 publications · 85 citations

    2

    h-index

1–5