Point Process Analysis

Point Process Analysis is a statistical methodology for modeling and analyzing sequences of discrete events in continuous time, distinguished by its focus on the timing, occurrence, and intensity of individual events rather than regularly sampled observations.

588

Publications

41.6K

Citations

982

Authors

518

Institutions

Publications per year

2017–2026

88

Authors

982

  1. DS
    Dietrich Stoyan

    TU Bergakademie Freiberg, Germany

    14 publications · 647 citations

    12

    h-index

  2. AB
    Adrian Baddeley

    The University of Western Australia, Australia

    10 publications · 478 citations

    10

    h-index

  3. DR
    David R. Brillinger

    University of California, Berkeley, United States

    10 publications · 386 citations

    10

    h-index

  4. HZ
    Hongyuan Zha

    Georgia Institute of Technology, United States

    11 publications · 411 citations

    10

    h-index

  5. RB
    Riccardo Barbieri

    Massachusetts General Hospital, United States

    9 publications · 370 citations

    9

    h-index

1–5 of 982

Venues

  1. Advances in Applied Probability

    AAP · 35 publications · 1.2K citations

    21

    h-index

  2. Journal of Applied Probability

    JAP · 29 publications · 2.1K citations

    17

    h-index

  3. arXiv (Cornell University)

    Repository · 16 publications · 738 citations

    16

    h-index

  4. 15

    h-index

  5. The Annals of Probability

    14 publications · 964 citations

    14

    h-index

1–5