Improvements on removing nonoptimal support points in D-optimum design algorithms R Harman, L Pronzato Statistics & probability letters 77 (1), 90-94, 2007 | 73 | 2007 |

Computing exact D-optimal designs by mixed integer second-order cone programming G Sagnol, R Harman The Annals of Statistics 43 (5), 2198-2224, 2015 | 50 | 2015 |

On decompositional algorithms for uniform sampling from n-spheres and n-balls R Harman, V Lacko Journal of Multivariate Analysis 101 (10), 2297-2304, 2010 | 45 | 2010 |

Approximate D-optimal designs of experiments on the convex hull of a finite set of information matrices R Harman, M Trnovská Mathematica Slovaca 59 (6), 693-704, 2009 | 34 | 2009 |

Computing c-optimal experimental designs using the simplex method of linear programming R Harman, T Jurík Computational statistics & data analysis 53 (2), 247-254, 2008 | 29 | 2008 |

A new model for predicting the flight activity of Lobesia botrana (Lepidoptera: Tortricidae) M Amo-Salas, V Ortega-López, R Harman, A Alonso-González Crop Protection 30 (12), 1586-1593, 2011 | 23 | 2011 |

Minimal efficiency of designs under the class of orthogonally invariant information criteria R Harman Metrika 60 (2), 137-153, 2004 | 22 | 2004 |

Computing efficient exact designs of experiments using integer quadratic programming R Harman, L Filová Computational Statistics & Data Analysis 71, 1159-1167, 2014 | 21 | 2014 |

Multiplicative methods for computing D-optimal stratified designs of experiments R Harman Journal of Statistical Planning and Inference, 2013 | 18 | 2013 |

Optimal prediction designs in finite discrete spectrum linear regression models R Harman, F Štulajter Metrika 72 (2), 281-294, 2010 | 17 | 2010 |

Construction of efficient experimental designs under multiple resource constraints R Harman, A Bachratá, L Filová Applied Stochastic Models in Business and Industry 32 (1), 3-17, 2016 | 15 | 2016 |

Optimality of equidistant sampling designs for the Brownian motion with a quadratic drift R Harman, F Štulajter Journal of Statistical Planning and Inference 141 (8), 2750-2758, 2011 | 14 | 2011 |

Computing maximin efficient experimental designs using the methods of semidefinite programming L Filová, M Trnovská, R Harman Metrika 75 (5), 709-719, 2012 | 12 | 2012 |

Optimal approximate designs for estimating treatment contrasts resistant to nuisance effects S Rosa, R Harman Statistical Papers 57 (4), 1077-1106, 2016 | 11 | 2016 |

Equivalence theorem for Schur optimality of experimental designs R Harman Journal of statistical planning and inference 138 (4), 1201-1209, 2008 | 11 | 2008 |

A randomized exchange algorithm for computing optimal approximate designs of experiments R Harman, L Filová, P Richtárik Journal of the American Statistical Association 115 (529), 348-361, 2020 | 10 | 2020 |

Lower Bounds on Efficiency Ratios Based on Φ_{ p }-Optimal DesignsR Harman mODa 7—Advances in Model-Oriented Design and Analysis, 89-96, 2004 | 10 | 2004 |

A conditional distribution approach to uniform sampling on spheres and balls in L_{p} spacesV Lacko, R Harman Metrika 75 (7), 939-951, 2012 | 8 | 2012 |

R Package ‘OptimalDesign’ R Harman, L Filova https://cran.r-project.org/web/packages/OptimalDesign/index.html, 2016 | 7 | 2016 |

Design of experiment for hysteresis loops measurement M Tučková, R Harman, P Tuček, J Tuček Journal of magnetism and magnetic materials 368, 64-69, 2014 | 7 | 2014 |