Adaptive finite element methods with convergence rates P Binev, W Dahmen, R DeVore Numerische Mathematik 97 (2), 219-268, 2004 | 567 | 2004 |

Convergence rates for greedy algorithms in reduced basis methods P Binev, A Cohen, W Dahmen, R DeVore, G Petrova, P Wojtaszczyk SIAM journal on mathematical analysis 43 (3), 1457-1472, 2011 | 371 | 2011 |

Picometre-precision analysis of scanning transmission electron microscopy images of platinum nanocatalysts AB Yankovich, B Berkels, W Dahmen, P Binev, SI Sanchez, SA Bradley, ... Nature communications 5 (1), 1-7, 2014 | 195 | 2014 |

Fast computation in adaptive tree approximation P Binev, R DeVore Numerische Mathematik 97 (2), 193-217, 2004 | 108 | 2004 |

Universal algorithms for learning theory part i: piecewise constant functions P Binev, A Cohen, W Dahmen, R DeVore, V Temlyakov Journal of Machine Learning Research 6 (Sep), 1297-1321, 2005 | 105 | 2005 |

Approximation classes for adaptive methods P Binev, W Dahmen, R DeVore, P Petrushev Serdica Mathematical Journal 28 (4), 391p-416p, 2002 | 93 | 2002 |

Compressed sensing and electron microscopy P Binev, W Dahmen, R DeVore, P Lamby, D Savu, R Sharpley Modeling Nanoscale Imaging in Electron Microscopy, 73-126, 2012 | 74 | 2012 |

Optimized imaging using non-rigid registration B Berkels, P Binev, DA Blom, W Dahmen, RC Sharpley, T Vogt Ultramicroscopy 138, 46-56, 2014 | 59 | 2014 |

Fast high-dimensional approximation with sparse occupancy trees P Binev, W Dahmen, P Lamby Journal of computational and applied mathematics 235 (8), 2063-2076, 2011 | 59 | 2011 |

Vision-based control of micro-air-vehicles: Progress and problems in estimation A Kurdila, M Nechyba, R Prazenica, W Dahmen, P Binev, R DeVore, ... 2004 43rd IEEE Conference on Decision and Control (CDC)(IEEE Cat. No …, 2004 | 59 | 2004 |

High-quality image formation by nonlocal means applied to high-angle annular dark-field scanning transmission electron microscopy (HAADF–STEM) P Binev, F Blanco-Silva, D Blom, W Dahmen, P Lamby, R Sharpley, ... Modeling Nanoscale Imaging in Electron Microscopy, 127-145, 2012 | 49 | 2012 |

Data assimilation in reduced modeling P Binev, A Cohen, W Dahmen, R DeVore, G Petrova, P Wojtaszczyk SIAM/ASA Journal on Uncertainty Quantification 5 (1), 1-29, 2017 | 43 | 2017 |

Universal algorithms for learning theory. part ii: Piecewise polynomial functions P Binev, A Cohen, W Dahmen, R DeVore Constructive approximation 26 (2), 127-152, 2007 | 41 | 2007 |

Modeling nanoscale imaging in electron microscopy T Vogt, W Dahmen, P Binev Springer Science & Business Media, 2012 | 33 | 2012 |

Poisson noise removal from high-resolution stem images based on periodic block matching N Mevenkamp, P Binev, W Dahmen, PM Voyles, AB Yankovich, B Berkels Advanced Structural and Chemical Imaging 1 (1), 3, 2015 | 30 | 2015 |

Physically motivated global alignment method for electron tomography T Sanders, M Prange, C Akatay, P Binev Advanced Structural and Chemical Imaging 1 (1), 1-11, 2015 | 27 | 2015 |

Classification algorithms using adaptive partitioning P Binev, A Cohen, W Dahmen, R DeVore The Annals of Statistics 42 (6), 2141-2163, 2014 | 26 | 2014 |

Tree approximation for hp-adaptivity P Binev SIAM Journal on Numerical Analysis 56 (6), 3346-3357, 2018 | 21 | 2018 |

Adaptive approximation of curves P Binev, W Dahmen, R DeVore, N Dyn Approximation Theory, 43-57, 2004 | 19 | 2004 |

High-precision scanning transmission electron microscopy at coarse pixel sampling for reduced electron dose AB Yankovich, B Berkels, W Dahmen, P Binev, PM Voyles Advanced Structural and Chemical Imaging 1 (1), 2, 2015 | 18 | 2015 |