Triangulation Complexity

Triangulation Complexity is a computational geometry metric that quantifies the minimum number of triangles required to decompose a given polygon without overlap or gap, distinguishing it from other polygonal decomposition measures by focusing specifically on triangulation efficiency and structural intricacy.

120

Publications

4.6K

Citations

174

Authors

114

Institutions

Publications per year

2017–2026

1

Authors

174

  1. DE
    David Eppstein

    University of California, Irvine, United States

    7 publications · 186 citations

    7

    h-index

  2. DA
    Dominique Attali

    GIPSA-Lab, France

    5 publications · 210 citations

    5

    h-index

  3. JB
    Jean‐Daniel Boissonnat

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

    5 publications · 210 citations

    5

    h-index

  4. MB
    Marshall Bern

    Palo Alto Research Center, United States

    5 publications · 145 citations

    5

    h-index

  5. PH
    Pinar Heggernes

    University of Bergen, Norway

    4 publications · 118 citations

    4

    h-index

1–5 of 174

Venues

  1. Discrete & Computational Geometry

    7 publications · 183 citations

    7

    h-index

  2. 7

    h-index

  3. Computational Geometry

    6 publications · 236 citations

    6

    h-index

  4. SIAM Journal on Computing

    4 publications · 233 citations

    4

    h-index

  5. SIAM Journal on Discrete Mathematics

    3 publications · 107 citations

    3

    h-index

1–5