Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Fermo, Luisa
and
Tosin, Andrea
2015.
A fully-discrete-state kinetic theory approach to traffic flow on road networks.
Mathematical Models and Methods in Applied Sciences,
Vol. 25,
Issue. 03,
p.
423.
Guarguaglini, F. R.
and
Natalini, R.
2015.
Global Smooth Solutions for a Hyperbolic Chemotaxis Model on a Network.
SIAM Journal on Mathematical Analysis,
Vol. 47,
Issue. 6,
p.
4652.
Borsche, R.
Kall, J.
Klar, A.
and
Pham, T. N. H.
2016.
Kinetic and related macroscopic models for chemotaxis on networks.
Mathematical Models and Methods in Applied Sciences,
Vol. 26,
Issue. 06,
p.
1219.
Borsche, Raul
and
Kall, Jochen
2016.
High order numerical methods for networks of hyperbolic conservation laws coupled with ODEs and lumped parameter models.
Journal of Computational Physics,
Vol. 327,
Issue. ,
p.
678.
Gosse, Laurent
and
Vauchelet, Nicolas
2016.
Numerical High-Field Limits in Two-Stream Kinetic Models and 1D Aggregation Equations.
SIAM Journal on Scientific Computing,
Vol. 38,
Issue. 1,
p.
A412.
Borsche, Raul
Klar, Axel
and
N. Ha Pham, T.
2017.
Nonlinear flux-limited models for chemotaxis on networks.
Networks & Heterogeneous Media,
Vol. 12,
Issue. 3,
p.
381.
Borsche, R
and
Klar, A
2018.
Kinetic layers and coupling conditions for nonlinear scalar equations on networks.
Nonlinearity,
Vol. 31,
Issue. 7,
p.
3512.
Borsche, R.
and
Klar, A.
2018.
Kinetic Layers and Coupling Conditions for Macroscopic Equations on Networks I: The Wave Equation.
SIAM Journal on Scientific Computing,
Vol. 40,
Issue. 3,
p.
A1784.
Bretti, Gabriella
and
Natalini, Roberto
2018.
Numerical approximation of nonhomogeneous boundary conditions on networks for a hyperbolic system of chemotaxis modeling the Physarum dynamics.
Journal of Computational Methods in Sciences and Engineering,
Vol. 18,
Issue. 1,
p.
85.
Guarguaglini, Francesca Romana
Papi, Marco
and
Smarrazzo, Flavia
2019.
Local and global solutions for a hyperbolic–elliptic model of chemotaxis on a network.
Mathematical Models and Methods in Applied Sciences,
Vol. 29,
Issue. 08,
p.
1465.
Borsche, Raul
Klar, Axel
and
Schneider, Florian
2019.
Active Particles, Volume 2.
p.
1.
Egger, Herbert
and
Schöbel-Kröhn, Lukas
2020.
Chemotaxis on networks: Analysis and numerical approximation.
ESAIM: Mathematical Modelling and Numerical Analysis,
Vol. 54,
Issue. 4,
p.
1339.
Bertaglia, Giulia
and
Pareschi, Lorenzo
2021.
Hyperbolic models for the spread of epidemics on networks: kinetic description and numerical methods.
ESAIM: Mathematical Modelling and Numerical Analysis,
Vol. 55,
Issue. 2,
p.
381.
Braun, Elishan Christian
Bretti, Gabriella
and
Natalini, Roberto
2021.
Mass-Preserving Approximation of a Chemotaxis Multi-Domain Transmission Model for Microfluidic Chips.
Mathematics,
Vol. 9,
Issue. 6,
p.
688.
Bertaglia, Giulia
and
Pareschi, Lorenzo
2021.
Hyperbolic compartmental models for epidemic spread on networks with uncertain data: Application to the emergence of COVID-19 in Italy.
Mathematical Models and Methods in Applied Sciences,
Vol. 31,
Issue. 12,
p.
2495.
Borsche, Raul
and
Klar, Axel
2021.
Trails in Kinetic Theory.
Vol. 25,
Issue. ,
p.
37.
Li, Yafeng
Mu, Chunlai
and
Xin, Qiao
2022.
Global existence and asymptotic behavior of solutions for a hyperbolic‐parabolic model of chemotaxis on network.
Mathematical Methods in the Applied Sciences,
Vol. 45,
Issue. 11,
p.
6739.
Bubba, Federica
Perthame, Benoit
Cerroni, Daniele
Ciarletta, Pasquale
and
Zunino, Paolo
2022.
A coupled 3D-1D multiscale Keller-Segel model of chemotaxis and its application to cancer invasion.
Discrete and Continuous Dynamical Systems - S,
Vol. 15,
Issue. 8,
p.
2053.
Albi, Giacomo
Bertaglia, Giulia
Boscheri, Walter
Dimarco, Giacomo
Pareschi, Lorenzo
Toscani, Giuseppe
and
Zanella, Mattia
2022.
Predicting Pandemics in a Globally Connected World, Volume 1.
p.
43.
Bertani, Francesca Romana
Bretti, Gabriella
Businaro, Luca
De Ninno, Adele
Gerardino, Annamaria
and
Natalini, Roberto
2023.
Mathematical Models and Computer Simulations for Biomedical Applications.
Vol. 33,
Issue. ,
p.
23.