Queuing Analysis

Queuing Analysis is a mathematical modeling technique used in operations research that studies waiting lines to predict queue lengths and waiting times by analyzing the arrival process, service process, number of servers, system capacity, and queue discipline.

2K

Publications

84.7K

Citations

3.5K

Authors

1.2K

Institutions

Publications per year

2017–2026

261

Authors

3.5K

  1. WW
    Ward Whitt

    AT&T (United States), United States

    26 publications · 2.6K citations

    23

    h-index

  2. JG
    J. George Shanthikumar

    University of California, Berkeley, United States

    13 publications · 764 citations

    13

    h-index

  3. RA
    R Akçelik

    Australian Road Research Board, Australia

    14 publications · 541 citations

    13

    h-index

  4. IA
    Ivo Adan

    Eindhoven University of Technology, Netherlands

    12 publications · 281 citations

    12

    h-index

  5. OB
    Onno Boxma

    Eindhoven University of Technology, Netherlands

    14 publications · 423 citations

    12

    h-index

1–5 of 3.5K

Venues

  1. Operations Research

    108 publications · 7.1K citations

    45

    h-index

  2. Management Science

    51 publications · 3.5K citations

    34

    h-index

  3. Journal of Applied Probability

    JAP · 95 publications · 3.7K citations

    32

    h-index

  4. 25

    h-index

  5. Advances in Applied Probability

    AAP · 43 publications · 2.1K citations

    25

    h-index

1–5