Nonlinear Birth-death Processes

Nonlinear Birth-Death Processes is a stochastic process model in the class of birth-death processes wherein the birth and death rates are nonlinear functions of the population size, allowing for complex dynamics such as density-dependent feedback and non-constant growth or decay intensities.

135

Publications

5.3K

Citations

228

Authors

169

Institutions

Publications per year

2017–2026

14

Authors

228

  1. AZ
    Alexander Zeifman

    Vologda State University, Russia

    5 publications · 251 citations

    5

    h-index

  2. EO
    Enzo Orsingher

    Sapienza University of Rome, Italy

    3 publications · 148 citations

    3

    h-index

  3. LB
    Leonid Berezansky

    Ben-Gurion University of the Negev, Israel

    2 publications · 25 citations

    2

    h-index

  4. DB
    Douglas Blount

    Arizona State University, United States

    2 publications · 44 citations

    2

    h-index

  5. TF
    T.D. Frank

    University of Connecticut, United States

    2 publications · 105 citations

    2

    h-index

1–5 of 228

Venues

  1. Journal of Statistical Physics

    6 publications · 514 citations

    6

    h-index

  2. Applied Mathematics and Computation

    5 publications · 90 citations

    5

    h-index

  3. Physics Letters A

    5 publications · 60 citations

    5

    h-index

  4. Discrete and Continuous Dynamical Systems - B

    4 publications · 83 citations

    4

    h-index

  5. 3

    h-index

1–5