| Arbitrary high-order, conservative and positivity preserving Patankar-type deferred correction schemes P Öffner, D Torlo Applied Numerical Mathematics 153, 15-34, 2020 | 43 | 2020 |
| Stabilized weighted reduced basis methods for parametrized advection dominated problems with random inputs D Torlo, F Ballarin, G Rozza SIAM/ASA Journal on Uncertainty Quantification 6 (4), 1475-1502, 2018 | 34 | 2018 |
| High order asymptotic preserving deferred correction implicit-explicit schemes for kinetic models R Abgrall, D Torlo SIAM Journal on Scientific Computing 42 (3), B816-B845, 2020 | 27* | 2020 |
| Model order reduction for parametrized nonlinear hyperbolic problems as an application to uncertainty quantification R Crisovan, D Torlo, R Abgrall, S Tokareva Journal of Computational and Applied Mathematics 348, 466-489, 2019 | 25 | 2019 |
| DeC and ADER: similarities, differences and a unified framework M Han Veiga, P Öffner, D Torlo Journal of Scientific Computing 87 (1), 2, 2021 | 23 | 2021 |
| High order entropy preserving ADER-DG schemes E Gaburro, P Öffner, M Ricchiuto, D Torlo Applied Mathematics and Computation 440, 127644, 2023 | 22 | 2023 |
| Relaxation deferred correction methods and their applications to residual distribution schemes R Abgrall, É Le Mélédo, P Öffner, D Torlo The SMAI Journal of computational mathematics 8, 125-160, 2022 | 21 | 2022 |
| Issues with positivity-preserving Patankar-type schemes D Torlo, P Öffner, H Ranocha Applied Numerical Mathematics 182, 117-147, 2022 | 17* | 2022 |
| An arbitrary high order and positivity preserving method for the shallow water equations M Ciallella, L Micalizzi, P Öffner, D Torlo Computers & Fluids 247, 105630, 2022 | 17 | 2022 |
| Model reduction for advection dominated hyperbolic problems in an ALE framework: Offline and online phases D Torlo arXiv preprint arXiv:2003.13735, 2020 | 15 | 2020 |
| Spectral analysis of continuous FEM for hyperbolic PDEs: influence of approximation, stabilization, and time-stepping S Michel, D Torlo, M Ricchiuto, R Abgrall Journal of Scientific Computing 89, 1-41, 2021 | 12 | 2021 |
| Weighted reduced order methods for parametrized partial differential equations with random inputs L Venturi, D Torlo, F Ballarin, G Rozza Uncertainty Modeling for Engineering Applications, 27-40, 2019 | 11 | 2019 |
| Analytical travelling vortex solutions of hyperbolic equations for validating very high order schemes M Ricchiuto, D Torlo arXiv preprint arXiv:2109.10183, 2021 | 10 | 2021 |
| Efficient iterative arbitrary high-order methods: an adaptive bridge between low and high order L Micalizzi, D Torlo, W Boscheri Communications on Applied Mathematics and Computation, 1-38, 2023 | 8 | 2023 |
| Arbitrary high order weno finite volume scheme with flux globalization for moving equilibria preservation M Ciallella, D Torlo, M Ricchiuto Journal of Scientific Computing 96 (2), 53, 2023 | 8 | 2023 |
| An optimisation–based domain–decomposition reduced order model for the incompressible Navier-Stokes equations I Prusak, M Nonino, D Torlo, F Ballarin, G Rozza Computers & Mathematics with Applications 151, 172-189, 2023 | 7 | 2023 |
| Some preliminary results on a high order asymptotic preserving computationally explicit kinetic scheme R Abgrall, D Torlo Communications in Mathematical Sciences 20 (2), 297-326, 2022 | 7* | 2022 |
| A new efficient explicit Deferred Correction framework: analysis and applications to hyperbolic PDEs and adaptivity L Micalizzi, D Torlo Communications on Applied Mathematics and Computation, 1-36, 2023 | 6 | 2023 |
| Model order reduction strategies for weakly dispersive waves D Torlo, M Ricchiuto Mathematics and Computers in Simulation 205, 997-1028, 2023 | 6 | 2023 |
| Hyperbolic problems: high order methods and model order reduction D Torlo Universität Zürich, 2020 | 6 | 2020 |
Philipp ÖffnerVertretungsprofessor, TU ClausthalEmail verificata su philippoeffner.de
