Robust Geometric Computation

Robust Geometric Computation is a subfield of computational geometry that addresses the design and implementation of algorithms to reliably handle geometric data and operations despite the presence of numerical inaccuracies and degenerate cases arising from finite-precision arithmetic.

219

Publications

14.1K

Citations

473

Authors

231

Institutions

Publications per year

2017–2026

38

Authors

473

  1. KS
    Kōkichi Sugihara

    The University of Tokyo, Japan

    5 publications · 217 citations

    5

    h-index

  2. KC
    Keenan Crane

    Carnegie Mellon University, United States

    4 publications · 696 citations

    4

    h-index

  3. EP
    Ernst P. Mücke

    University of Illinois Urbana-Champaign, United States

    4 publications · 939 citations

    4

    h-index

  4. DP
    Daniele Panozzo

    New York University, United States

    4 publications · 184 citations

    4

    h-index

  5. DM
    Dinesh Manocha

    University of North Carolina at Chapel Hill, United States

    4 publications · 196 citations

    4

    h-index

1–5 of 473

Venues

  1. ACM Transactions on Graphics

    TOG · 22 publications · 2.5K citations

    19

    h-index

  2. Computer Graphics Forum

    9 publications · 460 citations

    8

    h-index

  3. 7

    h-index

  4. Computer-Aided Design

    7 publications · 208 citations

    7

    h-index

  5. SIAM Journal on Computing

    5 publications · 342 citations

    5

    h-index

1–5