Homogeneous Poisson Process

A Homogeneous Poisson Process is a stochastic process characterized by a constant rate of event occurrences over time, distinguished from other point processes by its stationary and independent increments and the exponential distribution of inter-arrival times.

467

Publications

19.6K

Citations

905

Authors

485

Institutions

Publications per year

2017–2026

91

Variants

Stationary Poisson Process

Authors

905

  1. BD
    Brian D. O. Anderson

    Australian National University, Australia

    9 publications · 218 citations

    9

    h-index

  2. GM
    Guoqiang Mao

    Data61, Australia

    8 publications · 188 citations

    8

    h-index

  3. MH
    Martin Haenggi

    University of Notre Dame, United States

    6 publications · 1.2K citations

    6

    h-index

  4. MD
    Mathew D. Penrose

    Durham University, United Kingdom

    6 publications · 451 citations

    6

    h-index

  5. MB
    Mark Brown

    City College of New York, United States

    6 publications · 128 citations

    6

    h-index

1–5 of 905

Venues

  1. Journal of Applied Probability

    JAP · 34 publications · 1.2K citations

    20

    h-index

  2. Advances in Applied Probability

    AAP · 24 publications · 878 citations

    16

    h-index

  3. IEEE Transactions on Vehicular Technology

    14 publications · 437 citations

    14

    h-index

  4. IEEE Communications Letters

    11 publications · 421 citations

    11

    h-index

  5. arXiv (Cornell University)

    Repository · 11 publications · 597 citations

    10

    h-index

1–5