| Algebraic multigrid methods (AMG) for the efficient solution of fully implicit formulations in reservoir simulation K Stüben, T Clees, H Klie, B Lu, MF Wheeler SPE Reservoir Simulation Conference?, SPE-105832-MS, 2007 | 124 | 2007 |
| Model order reduction of differential algebraic equations arising from the simulation of gas transport networks S Grundel, L Jansen, N Hornung, T Clees, C Tischendorf, P Benner Progress in Differential-Algebraic Equations: Deskriptor 2013, 183-205, 2014 | 76 | 2014 |
| AMG strategies for PDE systems with applications in industrial semiconductor simulation T Clees Shaker, 2005 | 76 | 2005 |
| An efficient algebraic multigrid solver strategy for adaptive implicit methods in oil-reservoir simulation T Clees, L Ganzer SPE Journal 15 (03), 670-681, 2010 | 51 | 2010 |
| Computing surrogates for gas network simulation using model order reduction S Grundel, N Hornung, B Klaassen, P Benner, T Clees Surrogate-Based Modeling and Optimization: Applications in Engineering, 189-212, 2013 | 49 | 2013 |
| Deflation AMG solvers for highly ill-conditioned reservoir simulation problems H Klie, MF Wheeler, T Clees, K Stüben SPE Reservoir Simulation Conference?, SPE-105820-MS, 2007 | 30 | 2007 |
| Efficient method for simulation of long-distance gas transport networks with large amounts of hydrogen injection T Clees, A Baldin, B Klaassen, L Nikitina, I Nikitin, P Spelten Energy Conversion and Management 234, 113984, 2021 | 29 | 2021 |
| Algebraic multigrid for selected PDE systems T Füllenbach, K Stüben European Conference on Elliptic and Parabolic Problems 2001, 399, 2002 | 28 | 2002 |
| The origin of the hysteresis in cyclic voltammetric response of alkaline methanol electrooxidation T Haisch, F Kubannek, L Nikitina, I Nikitin, S Pott, T Clees, U Krewer Physical Chemistry Chemical Physics 22 (29), 16648-16654, 2020 | 26 | 2020 |
| MYNTS: Multi-physics network simulator T Clees, K Cassirer, N Hornung, B Klaassen, I Nikitin, L Nikitina, R Suter, ... 2016 6th International Conference on Simulation and Modeling Methodologies …, 2016 | 25 | 2016 |
| Hierarchical simulation of process variations and their impact on circuits and systems: Methodology JK Lorenz, E Bar, T Clees, R Jancke, CPJ Salzig, S Selberherr IEEE transactions on electron devices 58 (8), 2218-2226, 2011 | 25 | 2011 |
| Hierarchical simulation of process variations and their impact on circuits and systems: Results JK Lorenz, E Bar, T Clees, P Evanschitzky, R Jancke, C Kampen, ... IEEE transactions on electron devices 58 (8), 2227-2234, 2011 | 24 | 2011 |
| Algebraic multigrid for industrial semiconductor device simulation T Clees, K Stüben Challenges in Scientific Computing-CISC 2002: Proceedings of the Conference …, 2003 | 23 | 2003 |
| Algebraic multigrid: from academia to industry K Stüben, JW Ruge, T Clees, S Gries Scientific Computing and Algorithms in Industrial Simulations: Projects and …, 2017 | 21 | 2017 |
| Robustness measures and numerical approximation of the cumulative density function of response surfaces B Rhein, T Clees, M Ruschitzka Communications in Statistics-Simulation and Computation 43 (1), 1-17, 2014 | 17 | 2014 |
| Advanced mode analysis for crash simulation results CA Thole, L Nikitina, I Nikitin, T Clees Procs. 9th LS-DYNA Users' Conference, Bamberg, Germany, 2010 | 17 | 2010 |
| Statistical analysis and robust optimization of forming processes and forming-to-crash process chains T Clees, D Steffes-lai, M Helbig, DZ Sun International Journal of Material Forming 3, 45-48, 2010 | 15 | 2010 |
| Making network solvers globally convergent T Clees, I Nikitin, L Nikitina Simulation and Modeling Methodologies, Technologies and Applications …, 2018 | 14 | 2018 |
| Nonlinear metamodeling of bulky data and applications in automotive design I Nikitin, L Nikitina, T Clees Progress in industrial mathematics at ECMI 2010, 295-301, 2012 | 14 | 2012 |
| Multigrid software for industrial applications-from MG00 to SAMG U Trottenberg, T Clees 100 Volumes of ‘Notes on Numerical Fluid Mechanics’ 40 Years of Numerical …, 2009 | 14 | 2009 |
