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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Modeling and simulating the spatial spread of an epidemic through multiscale kinetic transport equations
Walter Boscheri, Giacomo Dimarco, Lorenzo Pareschi
Mathematical Models and Methods in Applied Sciences (2021) Vol. 31, Iss. 06, pp. 1059-1097
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

What is life? A perspective of the mathematical kinetic theory of active particles
Nicola Bellomo, Diletta Burini, Giovanni Dosi, et al.
Mathematical Models and Methods in Applied Sciences (2021) Vol. 31, Iss. 09, pp. 1821-1866
Open Access | Times Cited: 72
Multiscale models of Covid-19 with mutations and variants
Nicola Bellomo, Diletta Burini, Nisrine Outada
Networks and Heterogeneous Media (2022) Vol. 17, Iss. 3, pp. 293-293
Open Access | Times Cited: 54
Epidemics and society — A multiscale vision from the small world to the globally interconnected world
Diletta Burini, Damián Knopoff
Mathematical Models and Methods in Applied Sciences (2024) Vol. 34, Iss. 08, pp. 1567-1596
Closed Access | Times Cited: 11
New trends on the systems approach to modeling SARS-CoV-2 pandemics in a globally connected planet
Giulia Bertaglia, Andrea Bondesan, Diletta Burini, et al.
Mathematical Models and Methods in Applied Sciences (2024) Vol. 34, Iss. 11, pp. 1995-2054
Open Access | Times Cited: 8
Delay differential equations for the spatially resolved simulation of epidemics with specific application to COVID‐19
Nicola Guglielmi, Elisa Iacomini, Alex Viguerie
Mathematical Methods in the Applied Sciences (2022) Vol. 45, Iss. 8, pp. 4752-4771
Open Access | Times Cited: 35
Hyperbolic compartmental models for epidemic spread on networks with uncertain data: Application to the emergence of COVID-19 in Italy
Giulia Bertaglia, Lorenzo Pareschi
Mathematical Models and Methods in Applied Sciences (2021) Vol. 31, Iss. 12, pp. 2495-2531
Open Access | Times Cited: 33
Coupled and uncoupled dynamic mode decomposition in multi-compartmental systems with applications to epidemiological and additive manufacturing problems
Alex Viguerie, Gabriel F. Barros, Malú Grave, et al.
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 391, pp. 114600-114600
Open Access | Times Cited: 26
Kinetic Modelling of Epidemic Dynamics: Social Contacts, Control with Uncertain Data, and Multiscale Spatial Dynamics
Giacomo Albi, Giulia Bertaglia, Walter Boscheri, et al.
Modeling and simulation in science, engineering & technology (2022), pp. 43-108
Open Access | Times Cited: 23
Pandemics of mutating virus and society: a multi-scale active particles approach
Nicola Bellomo, Diletta Burini, Nisrine Outada
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2022) Vol. 380, Iss. 2224
Closed Access | Times Cited: 18
A review of multilevel modeling and simulation for human mobility and behavior
Luca Serena, Moreno Marzolla, Gabriele D’Angelo, et al.
Simulation Modelling Practice and Theory (2023) Vol. 127, pp. 102780-102780
Open Access | Times Cited: 11
A data-driven kinetic model for opinion dynamics with social network contacts
Giacomo Albi, Elisa Calzola, Giacomo Dimarco
European Journal of Applied Mathematics (2024), pp. 1-27
Open Access | Times Cited: 3
What is life? Active particles tools towards behavioral dynamics in social-biology and economics
Nicola Bellomo, M. Esfahanian, Valeria Secchini, et al.
Physics of Life Reviews (2022) Vol. 43, pp. 189-207
Closed Access | Times Cited: 17
Bi-fidelity stochastic collocation methods for epidemic transport models with uncertainties
Giulia Bertaglia, Liu Liu, Lorenzo Pareschi, et al.
Networks and Heterogeneous Media (2022) Vol. 17, Iss. 3, pp. 401-401
Open Access | Times Cited: 13
Asymptotic-Preserving Neural Networks for multiscale hyperbolic models of epidemic spread
Giulia Bertaglia, Chuan Lü, Lorenzo Pareschi, et al.
Mathematical Models and Methods in Applied Sciences (2022) Vol. 32, Iss. 10, pp. 1949-1985
Open Access | Times Cited: 12
Multi-Fidelity Methods for Uncertainty Propagation in Kinetic Equations
Giacomo Dimarco, Liu Liu, Lorenzo Pareschi, et al.
(2023)
Open Access | Times Cited: 7
Modelling lockdown measures in epidemic outbreaks using selective socio-economic containment with uncertainty
Giacomo Albi, Lorenzo Pareschi, Mattia Zanella
Mathematical Biosciences & Engineering (2021) Vol. 18, Iss. 6, pp. 7161-7190
Open Access | Times Cited: 17
Spatial spread of COVID-19 outbreak in Italy using multiscale kinetic transport equations with uncertainty
Giulia Bertaglia, Walter Boscheri, Giacomo Dimarco, et al.
Mathematical Biosciences & Engineering (2021) Vol. 18, Iss. 5, pp. 7028-7059
Open Access | Times Cited: 16
A bi-fidelity stochastic collocation method for transport equations with diffusive scaling and multi-dimensional random inputs
Liu Liu, Lorenzo Pareschi, Xueyu Zhu
Journal of Computational Physics (2022) Vol. 462, pp. 111252-111252
Open Access | Times Cited: 9
On the use of reactive multiparticle collision dynamics to gather particulate level information from simulations of epidemic models
Zaib Un Nisa Memon, Katrin Rohlf
AIP Advances (2024) Vol. 14, Iss. 9
Open Access | Times Cited: 1
A 2D Kinetic Model for Crowd Dynamics with Disease Contagion
Daewa Kim, Annalisa Quaini
Modeling and simulation in science, engineering & technology (2022), pp. 265-284
Open Access | Times Cited: 6
Multiscale Derivation of a Time-Dependent SEIRD Reaction–Diffusion System for COVID-19
Mohamed Zagour
Modeling and simulation in science, engineering & technology (2022), pp. 285-306
Open Access | Times Cited: 5
Asymptotic-Preserving Neural Networks for Hyperbolic Systems with Diffusive Scaling
Giulia Bertaglia
SEMA SIMAI Springer series (2023), pp. 23-48
Closed Access | Times Cited: 2
Mathematical Models for the Large Spread of a Contact-Based Infection: A Statistical Mechanics Approach
Marzia Bisi, Silvia Lorenzani
Journal of Nonlinear Science (2024) Vol. 34, Iss. 5
Open Access
A Space Distributed Model and Its Application for Modeling the COVID-19 Pandemic in Ukraine
Roman Cherniha, V. A. Dutka, Vasyl’ Davydovych
Symmetry (2024) Vol. 16, Iss. 11, pp. 1411-1411
Open Access
Spatial modelling to identify high-risk zones for the transmission of cutaneous leishmaniasis in hyperendemic urban environments: A case study of Mashhad, Iran
Alireza Mohammadi, Davidson H. Hamer, Elahe Pishagar, et al.
Health & Place (2024) Vol. 91, pp. 103394-103394
Closed Access
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