Discrete-time Queueing Models

Discrete-Time Queueing Models is a stochastic process model that describes the evolution of queue lengths and waiting times in systems where arrivals and service events occur at discrete time intervals, distinguished from continuous-time counterparts by its reliance on synchronized time slots for state transitions.

426

Publications

14.9K

Citations

558

Authors

305

Institutions

Publications per year

2017–2026

31

Authors

558

  1. HB
    Herwig Bruneel

    Ghent University, Belgium

    34 publications · 785 citations

    18

    h-index

  2. ML
    M. L. Chaudhry

    Royal Military College of Canada, Canada

    18 publications · 330 citations

    13

    h-index

  3. UG
    Umesh Gupta

    Indian Institute of Technology Kharagpur, India

    14 publications · 260 citations

    12

    h-index

  4. MF
    Marcel F. Neuts

    University of Arizona, United States

    13 publications · 669 citations

    11

    h-index

  5. PM
    Pilar Moreno

    Universidad Pablo de Olavide, Spain

    12 publications · 443 citations

    11

    h-index

1–5 of 558

Venues

  1. Performance Evaluation

    24 publications · 648 citations

    15

    h-index

  2. Queueing Systems

    23 publications · 755 citations

    15

    h-index

  3. Operations Research

    16 publications · 726 citations

    13

    h-index

  4. IEEE Transactions on Communications

    16 publications · 642 citations

    13

    h-index

  5. European Journal of Operational Research

    15 publications · 408 citations

    12

    h-index

1–5