Discrete-time Population Models

Discrete-Time Population Models is a mathematical framework within discrete dynamical systems that describes the evolution of population sizes over discrete time intervals using difference equations, distinguished by its focus on generational or periodic census-based updates rather than continuous-time changes.

178

Publications

8.8K

Citations

304

Authors

195

Institutions

Publications per year

2017–2026

33

Authors

304

  1. EL
    Eduardo Liz

    Universidade de Vigo, Spain

    6 publications · 246 citations

    6

    h-index

  2. HR
    Horst R. Thieme

    Arizona State University, United States

    5 publications · 652 citations

    5

    h-index

  3. SE
    Saber Elaydi

    Trinity University, United States

    4 publications · 198 citations

    4

    h-index

  4. JM
    J. M. Cushing

    University of Arizona, United States

    3 publications · 149 citations

    3

    h-index

  5. AR
    Alfonso Ruiz-Herrera

    Universidad de Granada, Spain

    3 publications · 118 citations

    3

    h-index

1–5 of 304

Venues

  1. 11

    h-index

  2. Journal of Mathematical Biology

    9 publications · 324 citations

    9

    h-index

  3. Journal of Applied Probability

    JAP · 8 publications · 221 citations

    8

    h-index

  4. Theoretical Population Biology

    TPB · 7 publications · 630 citations

    7

    h-index

  5. Chaos Solitons & Fractals

    6 publications · 183 citations

    6

    h-index

1–5