Semantic Network Visualization

Semantic Network Visualization is a type of network visualization that represents concepts or entities as nodes and their semantic relations as labeled edges in order to depict and explore the structure of meaning within symbolic, linguistic, or knowledge-based data.

36

Publications

1.8K

Citations

96

Authors

63

Institutions

Publications per year

2017–2026

9

Authors

96

  1. MS
    Michel Soto

    Sorbonne Université, France

    2 publications · 64 citations

    2

    h-index

  2. AA
    Aleks Aris

    University of Maryland, College Park, United States

    2 publications · 333 citations

    2

    h-index

  3. BB
    Benjamin Bach

    University of Edinburgh, United Kingdom

    2 publications · 43 citations

    2

    h-index

  4. BL
    Bénédicte Le Grand

    Sorbonne Université, France

    2 publications · 64 citations

    2

    h-index

  5. EP
    Emmanuel Pietriga

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

    2 publications · 43 citations

    2

    h-index

1–5 of 96

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 339 citations

    2

    h-index

  2. 2

    h-index

  3. Journal of Korean Academy of Nursing

    JKAN · 1 publications · 18 citations

    1

    h-index

  4. Information Visualization

    1 publications · 41 citations

    1

    h-index

  5. Information Processing & Management

    1 publications · 284 citations

    1

    h-index

1–5