| Simulating hamiltonian dynamics B Leimkuhler, S Reich Cambridge university press, 2004 | 1756 | 2004 |
| Multi-symplectic integrators: numerical schemes for Hamiltonian PDEs that conserve symplecticity TJ Bridges, S Reich Physics Letters A 284 (4-5), 184-193, 2001 | 627 | 2001 |
| Probabilistic forecasting and Bayesian data assimilation S Reich, C Cotter Cambridge University Press, 2015 | 475 | 2015 |
| Multi-symplectic Runge–Kutta collocation methods for Hamiltonian wave equations S Reich Journal of Computational Physics 157 (2), 473-499, 2000 | 428 | 2000 |
| Backward error analysis for numerical integrators S Reich SIAM Journal on Numerical Analysis 36 (5), 1549-1570, 1999 | 364 | 1999 |
| Stabilization of constrained mechanical systems with daes and invariant manifolds UM Ascher, H Chin, LR Petzold, S Reich Journal of Structural Mechanics 23 (2), 135-157, 1995 | 275 | 1995 |
| Numerical methods for hamiltonian pdes TJ Bridges, S Reich Journal of Physics A: mathematical and general 39 (19), 5287, 2006 | 273 | 2006 |
| Particle filters for high‐dimensional geoscience applications: A review PJ Van Leeuwen, HR Künsch, L Nerger, R Potthast, S Reich Quarterly Journal of the Royal Meteorological Society 145 (723), 2335-2365, 2019 | 256 | 2019 |
| Longer time steps for molecular dynamics JA Izaguirre, S Reich, RD Skeel The Journal of chemical physics 110 (20), 9853-9864, 1999 | 248 | 1999 |
| Stabilization of DAEs and invariant manifolds UM Ascher, H Chin, S Reich Numerische Mathematik 67, 131-149, 1994 | 231 | 1994 |
| Integration methods for molecular dynamics BJ Leimkuhler, S Reich, RD Skeel Mathematical Approaches to biomolecular structure and dynamics, 161-185, 1996 | 223 | 1996 |
| A nonparametric ensemble transform method for Bayesian inference S Reich SIAM Journal on Scientific Computing 35 (4), A2013-A2024, 2013 | 222 | 2013 |
| Backward error analysis for multi-symplectic integration methods B Moore, S Reich Numerische Mathematik 95, 625-652, 2003 | 178 | 2003 |
| Multi-symplectic spectral discretizations for the Zakharov–Kuznetsov and shallow water equations TJ Bridges, S Reich Physica D: Nonlinear Phenomena 152, 491-504, 2001 | 165 | 2001 |
| Computational Molecular Dynamics: Challenges, Methods, Ideas: Proceeding of the 2nd International Symposium on Algorithms for Macromolecular Modelling, Berlin, May 21–24, 1997 P Deuflhard, J Hermans, B Leimkuhler, AE Mark, S Reich, RD Skeel Springer Science & Business Media, 2012 | 150 | 2012 |
| Nonlinear Data Assimilation for high-dimensional systems: -with geophysical applications PJ Van Leeuwen, Y Cheng, S Reich, PJ van Leeuwen Nonlinear data assimilation, 1-73, 2015 | 149 | 2015 |
| A dynamical systems framework for intermittent data assimilation S Reich BIT Numerical Mathematics 51, 235-249, 2011 | 143 | 2011 |
| Sequential data assimilation of the stochastic SEIR epidemic model for regional COVID-19 dynamics R Engbert, MM Rabe, R Kliegl, S Reich Bulletin of mathematical biology 83 (1), 1, 2021 | 127 | 2021 |
| On a geometrical interpretation of differential-algebraic equations S Reich Circuits, Systems and Signal Processing 9, 367-382, 1990 | 113 | 1990 |
| On an existence and uniqueness theory for nonlinear differential-algebraic equations S Reich Circuits, Systems and Signal Processing 10, 343-359, 1991 | 112 | 1991 |
Benedict LeimkuhlerUniversity of EdinburghVerified email at ed.ac.uk
