Poisson Processes

Poisson Processes is a stochastic process that models the occurrence of events in continuous time, characterized by independent increments and a constant average rate of occurrence, wherein the number of events in any fixed interval follows a Poisson distribution.

5.3K

Publications

283.8K

Citations

6.9K

Authors

2.3K

Institutions

Publications per year

2017–2026

580

Authors

6.9K

  1. AD
    A. D. Barbour

    University of Zurich, Switzerland

    29 publications · 1.7K citations

    20

    h-index

  2. SI
    Sidney I. Resnick

    Cornell University, United States

    21 publications · 1.2K citations

    19

    h-index

  3. WW
    Ward Whitt

    AT&T (United States), United States

    18 publications · 1.8K citations

    18

    h-index

  4. MH
    Martin Haenggi

    University of Notre Dame, United States

    22 publications · 2.6K citations

    17

    h-index

  5. CW
    Christian Weiß

    Helmut Schmidt University, Germany

    22 publications · 937 citations

    17

    h-index

1–5 of 6.9K

Venues

  1. Journal of Applied Probability

    JAP · 340 publications · 13.2K citations

    51

    h-index

  2. Journal of the American Statistical Association

    103 publications · 12.7K citations

    48

    h-index

  3. The Annals of Probability

    121 publications · 9.7K citations

    48

    h-index

  4. Advances in Applied Probability

    AAP · 208 publications · 8.5K citations

    47

    h-index

  5. Biometrika

    69 publications · 7.3K citations

    37

    h-index

1–5