Open Queueing Networks

Open Queueing Networks is a class of stochastic models in queueing theory characterized by a network of service nodes with external arrivals and departures, where customers enter and leave the system according to probabilistic laws, distinguishing it from closed networks by the absence of a fixed population.

179

Publications

12.3K

Citations

264

Authors

149

Institutions

Publications per year

2017–2026

19

Authors

264

  1. WW
    Ward Whitt

    AT&T (United States), United States

    12 publications · 1.9K citations

    12

    h-index

  2. HG
    Harry G. Perros

    North Carolina State University, United States

    10 publications · 446 citations

    10

    h-index

  3. JM
    J. Michael Harrison

    Stanford University, United States

    9 publications · 977 citations

    9

    h-index

  4. SS
    Sunderesh S. Heragu

    Rensselaer Polytechnic Institute, United States

    6 publications · 352 citations

    6

    h-index

  5. GR
    Gabriel R. Bitran

    Massachusetts Institute of Technology, United States

    6 publications · 515 citations

    6

    h-index

1–5 of 264

Venues

  1. The Annals of Applied Probability

    11 publications · 1.6K citations

    11

    h-index

  2. Operations Research

    10 publications · 553 citations

    10

    h-index

  3. Management Science

    10 publications · 635 citations

    10

    h-index

  4. Journal of Applied Probability

    JAP · 10 publications · 715 citations

    10

    h-index

  5. International Journal of Production Research

    9 publications · 504 citations

    9

    h-index

1–5