| Reduced basis methods for time-dependent problems JS Hesthaven, C Pagliantini, G Rozza Acta Numerica 31, 265-345, 2022 | 86 | 2022 |
| Rank-adaptive structure-preserving model order reduction of Hamiltonian systems JS Hesthaven, C Pagliantini, N Ripamonti ESAIM: Mathematical Modelling and Numerical Analysis 56 (2), 617-650, 2020 | 46 | 2020 |
| Structure-preserving reduced basis methods for Poisson systems JS Hesthaven, C Pagliantini Mathematics of Computation 90 (330), 1701-1740, 2019 | 42* | 2019 |
| Dynamical reduced basis methods for Hamiltonian systems C Pagliantini Numerische Mathematik 148 (2), 409-448, 2019 | 37 | 2019 |
| The multi-dimensional Hermite-discontinuous Galerkin method for the Vlasov-Maxwell equations O Koshkarov, G Manzini, GL Delzanno, C Pagliantini, V Roytershteyn Computer Physics Communications, 107866, 2021 | 23 | 2021 |
| Stabilized Galerkin for transient advection of differential forms H Heumann, R Hiptmair, C Pagliantini Discrete Contin. Dyn. Syst. Ser. S 9 (1), 185-214, 2016 | 21 | 2016 |
| Computational magnetohydrodynamics with discrete differential forms C Pagliantini PhD thesis - ETH Zurich, 2016 | 15 | 2016 |
| Structure-preserving model order reduction of Hamiltonian systems JS Hesthaven, C Pagliantini, N Ripamonti Proc. Int. Cong. Math. 2022 7, 5072-5097, 2022 | 13 | 2022 |
| Gradient-preserving hyper-reduction of nonlinear dynamical systems via discrete empirical interpolation C Pagliantini, F Vismara SIAM Journal on Scientific Computing 45 (5), A2725-A2754, 2022 | 12 | 2022 |
| Adaptive symplectic model order reduction of parametric particle-based Vlasov-Poisson equation JS Hesthaven, C Pagliantini, N Ripamonti Mathematics of Computation 93 (347), 1153–1202, 2023 | 11 | 2023 |
| Splitting-based structure preserving discretizations for magnetohydrodynamics R Hiptmair, C Pagliantini SMAI-Journal of computational mathematics, 4, 225-257, 2018 | 11 | 2018 |
| Physics-based adaptivity of a spectral method for the Vlasov-Poisson equations based on the asymmetrically-weighted Hermite expansion in velocity space C Pagliantini, GL Delzanno, S Markidis Journal of Computational Physics 488 (C), 112255, 2023 | 10 | 2023 |
| Energy-conserving explicit and implicit time integration methods for the multi-dimensional Hermite-DG discretization of the Vlasov-Maxwell equations C Pagliantini, G Manzini, O Koshkarov, GL Delzanno, V Roytershteyn Computer Physics Communications, 108604, 2022 | 10 | 2022 |
| Auxiliary space preconditioners for SIP-DG discretizations of H(curl)-elliptic problems with discontinuous coefficients B Ayuso de Dios, R Hiptmair, C Pagliantini IMA Journal of Numerical Analysis 37 (2), 646-686, 2017 | 9 | 2017 |
| A reduced basis ensemble Kalman method FAB Silva, C Pagliantini, MA Grepl, K Veroy GEM-International Journal on Geomathematics 14 (24), 2023 | 6 | 2023 |
| Fully adaptive structure-preserving hyper-reduction of parametric Hamiltonian systems C Pagliantini, F Vismara SIAM Journal on Scientific Computing 47 (1), A124-A152, 2023 | 5 | 2023 |
| Nonlinear model reduction from equations and data C Pagliantini, S Jain Chaos: An Interdisciplinary Journal of Nonlinear Science 34 (9), 2024 | 2 | 2024 |
| Dynamical approximation and sensor placement for filtering problems O Mula, C Pagliantini, F Vismara To appear in SIAM Journal on Scientific Computing. arXiv:2312.12353, 2023 | 2 | 2023 |
| An adaptive hierarchical ensemble Kalman filter with reduced basis models FAB Silva, C Pagliantini, K Veroy To appear in SIAM/ASA Journal on Uncertainty Quantification. arXiv:2404.09907, 2024 | 1 | 2024 |
| Geometric low-rank approximation of the Zeitlin model of incompressible fluids on the sphere C Pagliantini arXiv:2412.08182, 2024 | | 2024 |
