Renewal Queueing Theory

Renewal Queueing Theory is a theoretical framework in queueing theory that models arrival and service processes through independent and identically distributed inter-event times, thereby generalizing Markovian assumptions by allowing non-exponential distributions while preserving renewal properties.

191

Publications

8.1K

Citations

268

Authors

168

Institutions

Publications per year

2017–2026

14

Authors

268

  1. WM
    Wojciech M. Kempa

    Silesian University of Technology, Poland

    7 publications · 133 citations

    7

    h-index

  2. DJ
    D. J. Daley

    Australian National University, Australia

    7 publications · 1.8K citations

    7

    h-index

  3. WW
    Ward Whitt

    AT&T (United States), United States

    6 publications · 1.2K citations

    6

    h-index

  4. HC
    H. Christian Gromoll

    University of Virginia, United States

    6 publications · 282 citations

    6

    h-index

  5. AL
    Amber L. Puha

    California State University, San Marcos, United States

    5 publications · 220 citations

    5

    h-index

1–5 of 268

Venues

  1. Advances in Applied Probability

    AAP · 17 publications · 519 citations

    14

    h-index

  2. Operations Research

    14 publications · 764 citations

    13

    h-index

  3. Journal of Applied Probability

    JAP · 16 publications · 428 citations

    12

    h-index

  4. The Annals of Applied Probability

    8 publications · 872 citations

    8

    h-index

  5. Communications in Statistics Stochastic Models

    8 publications · 401 citations

    8

    h-index

1–5