The kinetic preprocessor KPP-a software environment for solving chemical kinetics V Damian, A Sandu, M Damian, F Potra, GR Carmichael Computers & Chemical Engineering 26 (11), 1567-1579, 2002 | 468 | 2002 |

Benchmarking stiff ODE solvers for atmospheric chemistry problems II: Rosenbrock solvers A Sandu, JG Verwer, JG Blom, EJ Spee, GR Carmichael, FA Potra Atmospheric environment 31 (20), 3459-3472, 1997 | 337 | 1997 |

Adjoint sensitivity analysis of regional air quality models A Sandu, DN Daescu, GR Carmichael, T Chai Journal of Computational Physics 204 (1), 222-252, 2005 | 292 | 2005 |

Simulating chemical systems in Fortran90 and Matlab with the Kinetic PreProcessor KPP-2.1 A Sandu, R Sander Atmospheric Chemistry and Physics 6 (1), 187-195, 2006 | 287 | 2006 |

Modeling multibody systems with uncertainties. Part I: Theoretical and computational aspects A Sandu, C Sandu, M Ahmadian Multibody System Dynamics 15, 369-391, 2006 | 262 | 2006 |

Direct and adjoint sensitivity analysis of chemical kinetic systems with KPP: Part I—theory and software tools A Sandu, DN Daescu, GR Carmichael Atmospheric Environment 37 (36), 5083-5096, 2003 | 257 | 2003 |

Benchmarking stiff ode solvers for atmospheric chemistry problems-I. implicit vs explicit A Sandu, JG Verwer, M Van Loon, GR Carmichael, FA Potra, D Dabdub, ... Atmospheric environment 31 (19), 3151-3166, 1997 | 220 | 1997 |

The atmospheric chemistry box model CAABA/MECCA-3.0 R Sander, A Baumgaertner, S Gromov, H Harder, P Jöckel, A Kerkweg, ... Geoscientific Model Development 4 (2), 373-380, 2011 | 190 | 2011 |

Modeling multibody systems with uncertainties. Part II: Numerical applications C Sandu, A Sandu, M Ahmadian Multibody System Dynamics 15, 241-262, 2006 | 187 | 2006 |

Predicting air quality: Improvements through advanced methods to integrate models and measurements GR Carmichael, A Sandu, T Chai, DN Daescu, EM Constantinescu, ... Journal of Computational Physics 227 (7), 3540-3571, 2008 | 180 | 2008 |

Multirate timestepping methods for hyperbolic conservation laws EM Constantinescu, A Sandu Journal of Scientific Computing 33 (3), 239-278, 2007 | 178 | 2007 |

The adjoint of CMAQ A Hakami, DK Henze, JH Seinfeld, K Singh, A Sandu, S Kim, Byun, Q Li Environmental science & technology 41 (22), 7807-7817, 2007 | 151 | 2007 |

Adjoint inverse modeling of black carbon during the Asian Pacific Regional Aerosol Characterization Experiment A Hakami, DK Henze, JH Seinfeld, T Chai, Y Tang, GR Carmichael, ... Journal of Geophysical Research: Atmospheres 110 (D14), 2005 | 134 | 2005 |

Sensitivity analysis for atmospheric chemistry models via automatic differentiation GR Carmichael, A Sandu Atmospheric Environment 31 (3), 475-489, 1997 | 125 | 1997 |

Comparison of POD reduced order strategies for the nonlinear 2D shallow water equations R Ştefănescu, A Sandu, IM Navon International Journal for Numerical Methods in Fluids 76 (8), 497-521, 2014 | 123 | 2014 |

Ensemble‐based chemical data assimilation. I: General approach EM Constantinescu, A Sandu, T Chai, GR Carmichael Quarterly Journal of the Royal Meteorological Society: A journal of the …, 2007 | 110 | 2007 |

POD/DEIM reduced-order strategies for efficient four dimensional variational data assimilation R Ştefănescu, A Sandu, IM Navon Journal of Computational Physics 295, 569-595, 2015 | 109 | 2015 |

A polynomial chaos-based Kalman filter approach for parameter estimation of mechanical systems ED Blanchard, A Sandu, C Sandu | 106 | 2010 |

Direct and adjoint sensitivity analysis of chemical kinetic systems with KPP: II—Numerical validation and applications DN Daescu, A Sandu, GR Carmichael Atmospheric Environment 37 (36), 5097-5114, 2003 | 103 | 2003 |

Chemical Data Assimilation—An Overview ^{‡}A Sandu, T Chai Atmosphere 2 (3), 426-463, 2011 | 96 | 2011 |