Interrupted Poisson Processes

Interrupted Poisson Processes is a stochastic point process model that belongs to the class of arrival processes, distinguished by its modulation through intermittent inactivation periods during which events are suspended, thereby generalizing the standard Poisson process to account for temporal disruptions in event occurrence.

27

Publications

1.1K

Citations

50

Authors

30

Institutions

Publications per year

2017–2026

3

Variants

Ipp

Authors

50

  1. SM
    Sheldon M. Ross

    University of California, Berkeley, United States

    2 publications · 114 citations

    2

    h-index

  2. HH
    H. Heffes

    Stevens Institute of Technology, United States

    2 publications · 34 citations

    2

    h-index

  3. MF
    Maxim Finkelstein

    University of the Free State, South Africa

    2 publications · 76 citations

    2

    h-index

  4. SD
    Soumitra Debnath

    LNM Institute of Information Technology, India

    1 publications · 65 citations

    1

    h-index

  5. JE
    J.H. Eaton

    IBM (United States), United States

    1 publications · 19 citations

    1

    h-index

1–5 of 50

Venues

  1. IRE Transactions on Communications Systems

    2 publications · 46 citations

    2

    h-index

  2. Operations Research

    2 publications · 31 citations

    2

    h-index

  3. Bell System Technical Journal

    BSTJ · 2 publications · 275 citations

    2

    h-index

  4. Reliability Engineering & System Safety

    2 publications · 76 citations

    2

    h-index

  5. Journal of Applied Probability

    JAP · 2 publications · 114 citations

    2

    h-index

1–5