Poisson Arrivals

Poisson Arrivals is a stochastic arrival process in which events occur continuously and independently at a constant average rate, characterized by the property that the number of arrivals in any fixed time interval follows a Poisson distribution.

825

Publications

48.2K

Citations

1.3K

Authors

564

Institutions

Publications per year

2017–2026

77

Authors

1.3K

  1. MF
    Marcel F. Neuts

    University of Arizona, United States

    14 publications · 580 citations

    12

    h-index

  2. RW
    Ronald W. Wolff

    University of California, Berkeley, United States

    11 publications · 1.5K citations

    11

    h-index

  3. LT
    Lajos Takács

    Case Western Reserve University, United States

    10 publications · 450 citations

    10

    h-index

  4. WW
    Ward Whitt

    AT&T (United States), United States

    8 publications · 488 citations

    8

    h-index

  5. SM
    Sheldon M. Ross

    University of California, Berkeley, United States

    8 publications · 406 citations

    8

    h-index

1–5 of 1.3K

Venues

  1. Operations Research

    67 publications · 6.1K citations

    37

    h-index

  2. Journal of Applied Probability

    JAP · 71 publications · 3.2K citations

    31

    h-index

  3. Advances in Applied Probability

    AAP · 32 publications · 1.5K citations

    23

    h-index

  4. Management Science

    23 publications · 1.9K citations

    20

    h-index

  5. IEEE Transactions on Wireless Communications

    13 publications · 625 citations

    13

    h-index

1–5