Stationary Point Processes

Stationary Point Processes is a spatial point process characterized by statistical properties that remain invariant under translation, meaning its distribution is unchanged when the entire point pattern is shifted in space.

585

Publications

38.1K

Citations

748

Authors

415

Institutions

Publications per year

2017–2026

34

Authors

748

  1. LH
    Lothar Heinrich

    TU Bergakademie Freiberg, Germany

    10 publications · 401 citations

    11

    h-index

  2. MR
    M. R. Leadbetter

    University of North Carolina at Chapel Hill, United States

    10 publications · 2.7K citations

    10

    h-index

  3. DS
    Dietrich Stoyan

    TU Bergakademie Freiberg, Germany

    9 publications · 359 citations

    9

    h-index

  4. DR
    David R. Brillinger

    University of California, Berkeley, United States

    9 publications · 740 citations

    9

    h-index

  5. DJ
    D. J. Daley

    Australian National University, Australia

    8 publications · 1K citations

    8

    h-index

1–5 of 748

Venues

  1. Stochastic Processes and their Applications

    38 publications · 1.4K citations

    21

    h-index

  2. Journal of Applied Probability

    JAP · 25 publications · 3.6K citations

    17

    h-index

  3. Advances in Applied Probability

    AAP · 22 publications · 789 citations

    14

    h-index

  4. The Annals of Probability

    15 publications · 1.3K citations

    13

    h-index

  5. Journal of Multivariate Analysis

    11 publications · 359 citations

    11

    h-index

1–5