Geometric Approximation

Geometric Approximation is a mathematical method within geometric modeling that computes simplified representations of complex geometric entities while preserving essential shape characteristics under prescribed error bounds.

5.8K

Publications

312.7K

Citations

8.4K

Authors

2.2K

Institutions

Publications per year

2017–2026

516

Authors

8.4K

  1. SH
    Sariel Har-Peled

    University of Illinois Urbana-Champaign, United States

    64 publications · 2.9K citations

    32

    h-index

  2. PK
    Pankaj K. Agarwal

    Duke University, United States

    53 publications · 2.4K citations

    27

    h-index

  3. JS
    Joseph S. B. Mitchell

    Stony Brook University, United States

    31 publications · 1.6K citations

    23

    h-index

  4. MS
    Micha Sharir

    Tel Aviv University, Israel

    37 publications · 1.4K citations

    23

    h-index

  5. DM
    Dinesh Manocha

    University of North Carolina at Chapel Hill, United States

    30 publications · 2K citations

    23

    h-index

1–5 of 8.4K

Venues

  1. ACM Transactions on Graphics

    TOG · 121 publications · 13.9K citations

    61

    h-index

  2. Computer-Aided Design

    140 publications · 5.9K citations

    45

    h-index

  3. Computer Aided Geometric Design

    126 publications · 6.1K citations

    44

    h-index

  4. Computational Geometry

    124 publications · 5.4K citations

    39

    h-index

  5. Information Processing Letters

    94 publications · 4.9K citations

    38

    h-index

1–5