Queuing Theory

Queuing Theory is a branch of operations research that employs mathematical and stochastic models to analyze the formation and behavior of waiting lines and optimize resource allocation in service systems with unpredictable demand.

29.4K

Publications

1.5M

Citations

38.4K

Authors

5.5K

Institutions

Publications per year

2017–2026

4.6K

Authors

38.4K

  1. WW
    Ward Whitt

    AT&T (United States), United States

    220 publications · 19.8K citations

    75

    h-index

  2. DT
    Don Towsley

    University of Massachusetts Amherst, United States

    177 publications · 19.6K citations

    62

    h-index

  3. RS
    R. Srikant

    University of Illinois Urbana-Champaign, United States

    100 publications · 8.9K citations

    45

    h-index

  4. SS
    Scott Shenker

    University of California, Berkeley, United States

    57 publications · 9.7K citations

    38

    h-index

  5. NM
    Nick McKeown

    Stanford University, United States

    52 publications · 8.7K citations

    38

    h-index

1–5 of 38.4K

Venues

  1. IEEE/ACM Transactions on Networking

    TON · 613 publications · 69.4K citations

    115

    h-index

  2. Operations Research

    659 publications · 50K citations

    110

    h-index

  3. IEEE Journal on Selected Areas in Communications

    429 publications · 41.9K citations

    105

    h-index

  4. Management Science

    339 publications · 27.2K citations

    96

    h-index

  5. ACM SIGCOMM Computer Communication Review

    CCR · 248 publications · 37.9K citations

    90

    h-index

1–5

See also

Queuing Theory

Core Models

Performance Metrics

Solution Methods

Applications

Optimization