Renewal Theory

Renewal Theory is a branch of probability theory that studies stochastic processes modeling the occurrence of events over time, distinguished by the analysis of random times at which a system renews itself, thereby resetting its behavior according to an independent and identically distributed sequence of interarrival times.

1.9K

Publications

82.8K

Citations

2.4K

Authors

1K

Institutions

Publications per year

2017–2026

193

Authors

2.4K

  1. GE
    Gordon E. Willmot

    University of Waterloo, Canada

    18 publications · 839 citations

    14

    h-index

  2. PG
    Paolo Grigolini

    University of North Texas, United States

    15 publications · 506 citations

    13

    h-index

  3. QT
    Qihe Tang

    University of Iowa, United States

    13 publications · 747 citations

    12

    h-index

  4. WL
    Walter L. Smith

    University of Cambridge, United Kingdom

    13 publications · 1.3K citations

    12

    h-index

  5. JS
    Josef Steinebach

    University of Cologne, Germany

    12 publications · 248 citations

    11

    h-index

1–5 of 2.4K

Venues

  1. Journal of Applied Probability

    JAP · 172 publications · 6.3K citations

    39

    h-index

  2. Advances in Applied Probability

    AAP · 76 publications · 3K citations

    30

    h-index

  3. The Annals of Probability

    59 publications · 3.3K citations

    29

    h-index

  4. Insurance Mathematics and Economics

    46 publications · 1.9K citations

    27

    h-index

  5. The Annals of Mathematical Statistics

    33 publications · 3.3K citations

    25

    h-index

1–5