Hypergraph Exploration

Hypergraph Exploration is a scholarly research contribution that introduces a method, model, framework, or empirical artifact specifically designed to facilitate the interactive analysis, visualization, and structural understanding of hypergraphs by revealing their higher-order relationships and topological patterns.

8

Publications

186

Citations

26

Authors

14

Institutions

Publications per year

2017–2026

3

Authors

26

  1. AK
    Andreas Kerren

    Linnaeus University, Sweden

    1 publications · 14 citations

    1

    h-index

  2. MČ
    Martin Čmejrek

    Charles University, Czechia

    1 publications · 10 citations

    1

    h-index

  3. HM
    Haitao Mi

    Chinese Academy of Sciences, China

    1 publications · 10 citations

    1

    h-index

  4. MW
    Marcel Worring

    University of Amsterdam, Netherlands

    1 publications · 33 citations

    1

    h-index

  5. DA
    Devanshu Arya

    University of Amsterdam, Netherlands

    1 publications · 33 citations

    1

    h-index

1–5 of 26

Venues

  1. Computers & Industrial Engineering

    1 publications · 49 citations

    1

    h-index

  2. Data Mining and Knowledge Discovery

    1 publications · 42 citations

    1

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 33 citations

    1

    h-index

  4. Information Visualization

    1 publications · 16 citations

    1

    h-index

  5. Journal of Visual Languages & Computing

    JVLC · 1 publications · 10 citations

    1

    h-index

1–5