42 citations · 241 across the 27 of their papers we have counts for
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q-bio.PE2024★ 29 cited
Applications of the multi-sigmoidal deterministic and stochastic logistic models for plant dynamics
Antonio Di Crescenzo, Paola Paraggio, Patricia Román-Román +1
We consider a generalization of the classical logistic growth model introducing more than one inflection point. The growth, called multi-sigmoidal, is firstly analyzed from a deter…
q-bio.PE2016★ 40 cited
Analysis of a growth model inspired by Gompertz and Korf laws, and an analogous birth-death process
Antonio Di Crescenzo, Serena Spina
We propose a new deterministic growth model which captures certain features of both the Gompertz and Korf laws. We investigate its main properties, with special attention to the co…