| Review of computational fluid dynamics for wind turbine wake aerodynamics B Sanderse, SP Pijl, B Koren Wind Energy 14 (7), 799-819, 2011 | 496 | 2011 |
| Aerodynamics of wind turbine wakes B Sanderse Energy research Centre of the Netherlands, ECN-E-09-016, 2009 | 286* | 2009 |
| Accuracy analysis of explicit Runge–Kutta methods applied to the incompressible Navier–Stokes equations B Sanderse, B Koren Journal of Computational Physics 231 (8), 3041-3063, 2012 | 75 | 2012 |
| Energy-conserving Runge-Kutta methods for the incompressible Navier-Stokes equations B Sanderse Journal of Computational Physics 233, 100-131, 2013 | 64 | 2013 |
| Boundary treatment for fourth-order staggered mesh discretizations of the incompressible Navier–Stokes equations B Sanderse, R Verstappen, B Koren Journal of Computational Physics 257, 1472-1505, 2014 | 11 | 2014 |
| Analysis of time integration methods for the compressible two-fluid model for pipe flow simulations B Sanderse, IE Smith, MHW Hendrix International Journal of Multiphase Flow 95, 155-174, 2017 | 7 | 2017 |
| Energy-Conserving Navier-Stokes Solver. Verification of steady laminar flows B Sanderse Energy research Centre of the Netherlands, ECN-E-11-042, 2011 | 7* | 2011 |
| Simulation of Elongated Bubbles in a Channel Using the Two-Fluid Model B Sanderse, M Haspels, R Henkes Journal of Dispersion Science and Technology 36 (10), 1407-1418, 2015 | 6 | 2015 |
| Numerical simulation of roll waves in pipelines using the two-fluid model B Sanderse, S Misra, S Dubinkina, R Henkes, CW Oosterlee 11th North American Conference on Multiphase Production Technology, 2018 | 5 | 2018 |
| Bayesian model calibration with interpolating polynomials based on adaptively weighted Leja nodes LMM van den Bos, B Sanderse, W Bierbooms, GJW van Bussel arXiv preprint arXiv:1802.02035, 2018 | 5 | 2018 |
| Energy-conserving discretization methods for the incompressible Navier-Stokes equations: application to the simulation of wind-turbine wakes B Sanderse Technische Universiteit Eindhoven, 2013 | 5 | 2013 |
| Adaptive sampling-based quadrature rules for efficient Bayesian prediction LMM van den Bos, B Sanderse, W Bierbooms Journal of Computational Physics, 109537, 2020 | 3 | 2020 |
| An Adaptive Minimum Spanning Tree Multielement Method for Uncertainty Quantification of Smooth and Discontinuous Responses YV Halder, B Sanderse, B Koren SIAM Journal on Scientific Computing 41 (6), A3624-A3648, 2019 | 3 | 2019 |
| Constraint-consistent Runge–Kutta methods for one-dimensional incompressible multiphase flow B Sanderse, AEP Veldman Journal of Computational Physics 384, 170-199, 2019 | 3 | 2019 |
| Digital Twins Introduction E Weippl, B Sanderse ERCIM NEWS, 6-7, 2018 | 3 | 2018 |
| Cartesian grid methods for preliminary aircraft design B Sanderse TU Delft, Delft, Netherlands, 2008 | 3 | 2008 |
| Generating nested quadrature rules with positive weights based on arbitrary sample sets L van den Bos, B Sanderse, W Bierbooms, G van Bussel SIAM/ASA Journal on Uncertainty Quantification 8 (1), 139-169, 2020 | 2 | 2020 |
| Efficient ultimate load estimation for offshore wind turbines using interpolating surrogate models LMM van den Bos, B Sanderse, L Blonk, W Bierbooms, GJW Van Bussel J Phys Conf Ser 1037, 062017, 2018 | 2 | 2018 |
| Efficient simulation of one-dimensional two-phase flow with a new high-order Discontinuous Galerkin method JSB Van Zwieten, B Sanderse, MHV Hendrix, C Vuik, R Henkes Reports of the Delft Institute of Applied Mathematics, 15-07, 2015 | 2 | 2015 |
| Runge-Kutta methods for the incompressible Navier-Stokes equations B Sanderse, B Koren 21st AIAA Computational Fluid Dynamics Conference, 3085, 2013 | 2 | 2013 |
Barry Korenprofessor scientific computing, Eindhoven University of TechnologyVerified email at tue.nl
