Persistent Geometric Data Structures

Persistent Geometric Data Structures is a type of geometric data structure that maintains previous versions of itself after modifications, enabling efficient access and queries over historical states while supporting incremental updates in geometric computations.

23

Publications

1.3K

Citations

48

Authors

32

Institutions

Publications per year

2017–2026

9

Authors

48

  1. MA
    Mason A. Porter

    University of Oxford, United Kingdom

    2 publications · 50 citations

    2

    h-index

  2. MF
    Michelle Feng

    University of California, Los Angeles, United States

    2 publications · 50 citations

    2

    h-index

  3. TM
    Timothy M. Chan

    University of Waterloo, Canada

    2 publications · 71 citations

    2

    h-index

  4. MK
    Michael Kirby

    Colorado State University, United States

    1 publications · 10 citations

    1

    h-index

  5. WP
    Witold Pokorski

    European Organization for Nuclear Research, Switzerland

    1 publications · 164 citations

    1

    h-index

1–5 of 48

Venues

  1. Computer-Aided Design

    3 publications · 61 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 38 citations

    2

    h-index

  3. Journal of Applied and Computational Topology

    1 publications · 260 citations

    1

    h-index

  4. IEEE Transactions on Nuclear Science

    1 publications · 164 citations

    1

    h-index

  5. Communications of the ACM

    1 publications · 487 citations

    1

    h-index

1–5