Aerodynamic data reconstruction and inverse design using proper orthogonal decomposition T Bui-Thanh, M Damodaran, K Willcox AIAA journal 42 (8), 1505-1516, 2004 | 497 | 2004 |

Model reduction for large-scale systems with high-dimensional parametric input space T Bui-Thanh, K Willcox, O Ghattas SIAM Journal on Scientific Computing 30 (6), 3270-3288, 2008 | 415 | 2008 |

A computational framework for infinite-dimensional Bayesian inverse problems Part I: The linearized case, with application to global seismic inversion T Bui-Thanh, O Ghattas, J Martin, G Stadler SIAM Journal on Scientific Computing 35 (6), A2494-A2523, 2013 | 355 | 2013 |

Proper orthogonal decomposition extensions for parametric applications in compressible aerodynamics T Bui-Thanh, M Damodaran, K Willcox 21st AIAA applied aerodynamics conference, 4213, 2003 | 261 | 2003 |

Goal-oriented, model-constrained optimization for reduction of large-scale systems T Bui-Thanh, K Willcox, O Ghattas, B van Bloemen Waanders Journal of Computational Physics 224 (2), 880-896, 2007 | 223 | 2007 |

Parametric reduced-order models for probabilistic analysis of unsteady aerodynamic applications T Bui-Thanh, K Willcox, O Ghattas AIAA journal 46 (10), 2520-2529, 2008 | 179 | 2008 |

Extreme-scale UQ for Bayesian inverse problems governed by PDEs T Bui-Thanh, C Burstedde, O Ghattas, J Martin, G Stadler, LC Wilcox SC'12: Proceedings of the international conference on high performance …, 2012 | 131 | 2012 |

A robust DPG method for convection-dominated diffusion problems II: Adjoint boundary conditions and mesh-dependent test norms J Chan, N Heuer, T Bui-Thanh, L Demkowicz Computers & Mathematics with Applications 67 (4), 771-795, 2014 | 108 | 2014 |

Accelerating Markov chain Monte Carlo with active subspaces PG Constantine, C Kent, T Bui-Thanh SIAM Journal on Scientific Computing 38 (5), A2779-A2805, 2016 | 85 | 2016 |

An active concept for limiting injuries caused by air blasts HNG Wadley, KP Dharmasena, MY He, RM McMeeking, AG Evans, ... International Journal of Impact Engineering 37 (3), 317-323, 2010 | 84 | 2010 |

Analysis of the Hessian for inverse scattering problems: I. Inverse shape scattering of acoustic waves T Bui-Thanh, O Ghattas Inverse Problems 28 (5), 055001, 2012 | 81* | 2012 |

Solving large-scale PDE-constrained Bayesian inverse problems with Riemann manifold Hamiltonian Monte Carlo T Bui-Thanh, M Girolami Inverse Problems 30 (11), 114014, 2014 | 73 | 2014 |

The DPG method for the Stokes problem NV Roberts, T Bui-Thanh, L Demkowicz Computers & Mathematics with Applications 67 (4), 966-995, 2014 | 72 | 2014 |

An analysis of infinite dimensional Bayesian inverse shape acoustic scattering and its numerical approximation T Bui-Thanh, O Ghattas SIAM/ASA Journal on Uncertainty Quantification 2 (1), 203-222, 2014 | 62 | 2014 |

Model-constrained optimization methods for reduction of parameterized large-scale systems T Bui-Thanh Massachusetts Institute of Technology, 2007 | 62 | 2007 |

A unified discontinuous Petrov--Galerkin method and its analysis for Friedrichs' systems T Bui-Thanh, L Demkowicz, O Ghattas SIAM Journal on Numerical Analysis 51 (4), 1933-1958, 2013 | 56 | 2013 |

Emulation of higher-order tensors in manifold Monte Carlo methods for Bayesian inverse problems S Lan, T Bui-Thanh, M Christie, M Girolami Journal of Computational Physics 308, 81-101, 2016 | 53 | 2016 |

From Godunov to a unified hybridized discontinuous Galerkin framework for partial differential equations T Bui-Thanh Journal of Computational Physics 295, 114-146, 2015 | 47 | 2015 |

Analysis of an -Nonconforming Discontinuous Galerkin Spectral Element Method for Wave Propagation T Bui-Thanh, O Ghattas SIAM Journal on Numerical Analysis 50 (3), 1801-1826, 2012 | 47 | 2012 |

A randomized maximum a posteriori method for posterior sampling of high dimensional nonlinear Bayesian inverse problems K Wang, T Bui-Thanh, O Ghattas SIAM Journal on Scientific Computing 40 (1), A142-A171, 2018 | 40 | 2018 |