Queueing Models

Queueing Models is a mathematical framework within stochastic process theory that characterizes the behavior of waiting lines by modeling the dynamics of arrival, service, and queue discipline in systems subject to random demand.

5K

Publications

258.5K

Citations

5.6K

Authors

1.8K

Institutions

Publications per year

2017–2026

549

Authors

5.6K

  1. WW
    Ward Whitt

    AT&T (United States), United States

    108 publications · 10.3K citations

    53

    h-index

  2. MF
    Marcel F. Neuts

    University of Arizona, United States

    53 publications · 3.2K citations

    28

    h-index

  3. JG
    J. George Shanthikumar

    University of California, Berkeley, United States

    31 publications · 1.8K citations

    23

    h-index

  4. UY
    Uri Yechiali

    Tel Aviv University, Israel

    30 publications · 2.1K citations

    22

    h-index

  5. OB
    Onno Boxma

    Eindhoven University of Technology, Netherlands

    51 publications · 1.5K citations

    22

    h-index

1–5 of 5.6K

Venues

  1. Operations Research

    366 publications · 32.1K citations

    91

    h-index

  2. Management Science

    175 publications · 14.8K citations

    68

    h-index

  3. Journal of Applied Probability

    JAP · 332 publications · 12.9K citations

    55

    h-index

  4. Advances in Applied Probability

    AAP · 200 publications · 9.9K citations

    52

    h-index

  5. Queueing Systems

    207 publications · 9.6K citations

    51

    h-index

1–5