Stochastic Service Systems

Stochastic Service Systems is a class of queuing models characterized by random arrival and service processes, distinguished by their reliance on probabilistic methods to analyze system performance in the presence of uncertainty.

1.7K

Publications

81.2K

Citations

3K

Authors

1.1K

Institutions

Publications per year

2017–2026

326

Authors

3K

  1. WW
    Ward Whitt

    AT&T (United States), United States

    38 publications · 3.9K citations

    27

    h-index

  2. JK
    Jau‐Chuan Ke

    National Taichung University of Science and Technology, Taiwan

    22 publications · 483 citations

    15

    h-index

  3. MH
    Mor Harchol‐Balter

    Carnegie Mellon University, United States

    12 publications · 285 citations

    11

    h-index

  4. MJ
    Madhu Jain

    Indian Institute of Technology Roorkee, India

    13 publications · 238 citations

    11

    h-index

  5. OB
    Onno Boxma

    Eindhoven University of Technology, Netherlands

    11 publications · 403 citations

    11

    h-index

1–5 of 3K

Venues

  1. Operations Research

    101 publications · 9.5K citations

    49

    h-index

  2. Management Science

    68 publications · 6.1K citations

    44

    h-index

  3. European Journal of Operational Research

    69 publications · 3K citations

    35

    h-index

  4. Journal of Applied Probability

    JAP · 61 publications · 1.8K citations

    23

    h-index

  5. Mathematics of Operations Research

    30 publications · 1.1K citations

    20

    h-index

1–5