Segment Intersection Complexity Analysis

Segment Intersection Complexity Analysis is a theoretical framework within computational geometry that characterizes the asymptotic behavior of algorithms designed to detect or report intersections among line segments in the plane, specifically by analyzing the relationship between input size and the number of potential pairwise intersections.

19

Publications

1K

Citations

22

Authors

22

Institutions

Publications per year

2017–2026

1

Authors

22

  1. TM
    Timothy M. Chan

    University of Waterloo, Canada

    2 publications · 35 citations

    2

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  2. BC
    Bernard Chazelle

    Princeton University, United States

    2 publications · 412 citations

    2

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  3. JS
    Jack Snoeyink

    University of North Carolina at Chapel Hill, United States

    2 publications · 48 citations

    2

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  4. JB
    Jean‐Daniel Boissonnat

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

    2 publications · 48 citations

    2

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  5. HE
    Herbert Edelsbrunner

    University of Illinois Urbana-Champaign, United States

    2 publications · 412 citations

    2

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1–5 of 22

Venues

  1. Computational Geometry

    2 publications · 51 citations

    2

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  2. Networks

    1 publications · 45 citations

    1

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  3. SIAM Journal on Computing

    1 publications · 11 citations

    1

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  4. IEEE Transactions on Computers

    1 publications · 189 citations

    1

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  5. Journal of Algorithms

    1 publications · 71 citations

    1

    h-index

1–5