Hypergraph Decompositions

Hypergraph Decompositions is a methodological framework in hypergraph theory that partitions a hypergraph into simpler, structured sub-hypergraphs according to specified combinatorial or algebraic criteria, enabling the analysis of complex relational systems through hierarchical or component-wise characterization.

244

Publications

11.1K

Citations

474

Authors

283

Institutions

Publications per year

2017–2026

56

Authors

474

  1. GG
    Georg Gottlob

    TU Wien, Austria

    12 publications · 489 citations

    12

    h-index

  2. AB
    Andrew B. Kahng

    University of California San Diego, United States

    7 publications · 185 citations

    7

    h-index

  3. DK
    Daniela Kühn

    University of Birmingham, United Kingdom

    5 publications · 139 citations

    5

    h-index

  4. CA
    Cevdet Aykanat

    Bilkent University, Türkiye

    5 publications · 655 citations

    5

    h-index

  5. DO
    Deryk Osthus

    University of Birmingham, United Kingdom

    5 publications · 139 citations

    5

    h-index

1–5 of 474

Venues

  1. Discrete Applied Mathematics

    12 publications · 346 citations

    11

    h-index

  2. Discrete Mathematics

    11 publications · 352 citations

    10

    h-index

  3. Journal of Combinatorial Theory Series B

    9 publications · 659 citations

    9

    h-index

  4. Linear Algebra and its Applications

    8 publications · 345 citations

    8

    h-index

  5. Journal of Combinatorial Theory Series A

    7 publications · 163 citations

    7

    h-index

1–5