Queueing Theory Optimization

Queueing Theory Optimization is a mathematical framework within queueing theory that systematically determines optimal configurations of queueing systems by minimizing performance metrics such as waiting time, service cost, or resource utilization under stochastic constraints.

619

Publications

28.8K

Citations

1K

Authors

507

Institutions

Publications per year

2017–2026

94

Authors

1K

  1. JK
    Jau‐Chuan Ke

    National Taichung University of Science and Technology, Taiwan

    13 publications · 301 citations

    12

    h-index

  2. GK
    Ger Koole

    Vrije Universiteit Amsterdam, Netherlands

    12 publications · 369 citations

    10

    h-index

  3. DT
    Don Towsley

    University of Massachusetts Amherst, United States

    9 publications · 295 citations

    9

    h-index

  4. SS
    Shaler Stidham

    University of North Carolina at Chapel Hill, United States

    9 publications · 1.3K citations

    9

    h-index

  5. KW
    Kuo-Hsiung Wang

    National Chung Hsing University, Taiwan

    9 publications · 272 citations

    9

    h-index

1–5 of 1K

Venues

  1. Operations Research

    58 publications · 5.1K citations

    35

    h-index

  2. Management Science

    40 publications · 2.8K citations

    31

    h-index

  3. IEEE Transactions on Automatic Control

    26 publications · 1.5K citations

    19

    h-index

  4. Journal of Applied Probability

    JAP · 23 publications · 1.6K citations

    17

    h-index

  5. European Journal of Operational Research

    19 publications · 853 citations

    16

    h-index

1–5