Entity-relationship Visualization

Entity-Relationship Visualization is a type of information visualization that specifically represents the semantic structure of entities and the relationships between them within a domain, distinguished by its focus on explicitly depicting entities as nodes and their interconnecting relationships as edges to facilitate understanding of complex data semantics.

68

Publications

2.5K

Citations

190

Authors

96

Institutions

Publications per year

2017–2026

11

Authors

190

  1. RT
    Roberto Tamassia

    Brown University, United States

    4 publications · 427 citations

    4

    h-index

  2. EP
    Emmanuel Pietriga

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

    3 publications · 59 citations

    3

    h-index

  3. LG
    Lise Getoor

    University of Maryland, College Park, United States

    2 publications · 102 citations

    2

    h-index

  4. JP
    James Pustejovsky

    Brandeis University, United States

    2 publications · 24 citations

    2

    h-index

  5. MT
    Maurizio Talamo

    University of Rome Tor Vergata, Italy

    2 publications · 108 citations

    2

    h-index

1–5 of 190

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 65 citations

    4

    h-index

  2. Information Visualization

    2 publications · 54 citations

    2

    h-index

  3. 2

    h-index

  4. IEEE Software

    2 publications · 34 citations

    2

    h-index

  5. International Conference on Entity-Relationship Approach

    Conference · 2 publications · 39 citations

    2

    h-index

1–5