Stochastic Service Processes

Stochastic Service Processes is a stochastic process that models service times in queueing systems by incorporating random variability and memory-dependent dynamics, distinguishing it from deterministic or memoryless service mechanisms through its reliance on non-Markovian, history-sensitive probabilistic structures.

308

Publications

16.4K

Citations

545

Authors

295

Institutions

Publications per year

2017–2026

41

Authors

545

  1. WW
    Ward Whitt

    AT&T (United States), United States

    13 publications · 2.3K citations

    13

    h-index

  2. MF
    Marcel F. Neuts

    University of Arizona, United States

    7 publications · 270 citations

    7

    h-index

  3. YJ
    Yuming Jiang

    Norwegian University of Science and Technology, Norway

    7 publications · 342 citations

    7

    h-index

  4. JG
    J. George Shanthikumar

    University of California, Berkeley, United States

    5 publications · 233 citations

    5

    h-index

  5. OB
    Onno Boxma

    Eindhoven University of Technology, Netherlands

    4 publications · 115 citations

    4

    h-index

1–5 of 545

Venues

  1. Operations Research

    23 publications · 2.2K citations

    19

    h-index

  2. Journal of Applied Probability

    JAP · 21 publications · 849 citations

    15

    h-index

  3. Advances in Applied Probability

    AAP · 16 publications · 1.2K citations

    15

    h-index

  4. European Journal of Operational Research

    13 publications · 735 citations

    13

    h-index

  5. Queueing Systems

    13 publications · 497 citations

    11

    h-index

1–5