Optimal Point Location

Optimal Point Location is a computational geometry method that, as a specialization of point location algorithms, minimizes the worst-case or average query time to logarithmic or constant bounds while ensuring space complexity remains linear or near-linear in the number of subdivisions.

320

Publications

16.7K

Citations

914

Authors

430

Institutions

Publications per year

2017–2026

68

Authors

914

  1. ZD
    Zvi Drezner

    California State University, Fullerton, United States

    9 publications · 378 citations

    9

    h-index

  2. FJ
    Francisco Jurado

    Universidad de Jaén, Spain

    4 publications · 160 citations

    4

    h-index

  3. GB
    Giuseppe Buttazzo

    University of Pisa, Italy

    4 publications · 97 citations

    4

    h-index

  4. GO
    George O. Wesolowsky

    McMaster University, Canada

    4 publications · 195 citations

    4

    h-index

  5. FS
    Filippo Santambrogio

    Université Paris-Sud, France

    3 publications · 71 citations

    3

    h-index

1–5 of 914

Venues

  1. Operations Research

    11 publications · 922 citations

    11

    h-index

  2. 8

    h-index

  3. Transportation Science

    7 publications · 686 citations

    7

    h-index

  4. International Journal of Production Research

    6 publications · 162 citations

    6

    h-index

  5. Mathematics of Operations Research

    4 publications · 177 citations

    4

    h-index

1–5