Renewal Process Models

Renewal Process Models is a stochastic modeling framework that belongs to the class of point process models and is distinguished by its assumption of independent and identically distributed inter-event times, used to characterize the probabilistic recurrence of events such as earthquakes or service arrivals in queueing systems.

448

Publications

17.9K

Citations

681

Authors

370

Institutions

Publications per year

2017–2026

38

Variants

Renewal Process Model

Authors

681

  1. MF
    Marcel F. Neuts

    University of Arizona, United States

    8 publications · 936 citations

    8

    h-index

  2. JG
    J. George Shanthikumar

    University of California, Berkeley, United States

    7 publications · 361 citations

    7

    h-index

  3. HA
    Hansjörg Albrecher

    University of Lausanne, Switzerland

    6 publications · 249 citations

    6

    h-index

  4. JH
    Jewgeni H. Dshalalow

    Florida Institute of Technology, United States

    5 publications · 79 citations

    5

    h-index

  5. GL
    Guy Latouche

    Université Libre de Bruxelles, Belgium

    5 publications · 130 citations

    5

    h-index

1–5 of 681

Venues

  1. Journal of Applied Probability

    JAP · 41 publications · 1K citations

    17

    h-index

  2. Advances in Applied Probability

    AAP · 20 publications · 1.7K citations

    16

    h-index

  3. IEEE Transactions on Reliability

    13 publications · 502 citations

    12

    h-index

  4. Operations Research

    10 publications · 1K citations

    10

    h-index

  5. Reliability Engineering & System Safety

    9 publications · 289 citations

    9

    h-index

1–5