Queueing Theory

Queueing Theory is a branch of applied probability that studies mathematical models of systems where entities arrive randomly to receive service, with emphasis on the analysis of congestion, waiting times, and resource utilization under stochastic dynamics.

27.5K

Publications

1.4M

Citations

32.3K

Authors

5K

Institutions

Publications per year

2017–2026

3.8K

Authors

32.3K

  1. WW
    Ward Whitt

    AT&T (United States), United States

    233 publications · 21.2K citations

    77

    h-index

  2. DT
    Don Towsley

    University of Massachusetts Amherst, United States

    164 publications · 17.4K citations

    58

    h-index

  3. RS
    R. Srikant

    University of Illinois Urbana-Champaign, United States

    117 publications · 8.8K citations

    45

    h-index

  4. EA
    Eitan Altman

    Institut national de recherche en sciences et technologies du numérique, France

    95 publications · 4.1K citations

    37

    h-index

  5. NM
    Nick McKeown

    Stanford University, United States

    48 publications · 8.2K citations

    37

    h-index

1–5 of 32.3K

Venues

  1. Operations Research

    783 publications · 63.7K citations

    126

    h-index

  2. IEEE/ACM Transactions on Networking

    TON · 542 publications · 64.1K citations

    111

    h-index

  3. IEEE Journal on Selected Areas in Communications

    396 publications · 37.5K citations

    105

    h-index

  4. Management Science

    404 publications · 31.6K citations

    103

    h-index

  5. Transportation Research Part B Methodological

    233 publications · 21.7K citations

    83

    h-index

1–5