A practical guide to Prabhakar fractional calculus A Giusti, I Colombaro, R Garra, R Garrappa, F Polito, M Popolizio, ... Fractional Calculus and Applied Analysis 23 (1), 9-54, 2020 | 151 | 2020 |

Computing the matrix Mittag-Leffler function with applications to fractional calculus R Garrappa, M Popolizio Journal of Scientific Computing 77 (1), 129-153, 2018 | 112 | 2018 |

Evaluation of fractional integrals and derivatives of elementary functions: Overview and tutorial R Garrappa, E Kaslik, M Popolizio Mathematics 7 (5), 407, 2019 | 111 | 2019 |

Acceleration techniques for approximating the matrix exponential operator M Popolizio, V Simoncini SIAM Journal on Matrix Analysis and Applications 30 (2), 657-683, 2008 | 93 | 2008 |

Evaluation of generalized Mittag–Leffler functions on the real line R Garrappa, M Popolizio Advances in Computational Mathematics 39, 205-225, 2013 | 86 | 2013 |

On the use of matrix functions for fractional partial differential equations R Garrappa, M Popolizio Mathematics and Computers in Simulation 81 (5), 1045-1056, 2011 | 78 | 2011 |

Generalized exponential time differencing methods for fractional order problems R Garrappa, M Popolizio Computers & Mathematics with Applications 62 (3), 876-890, 2011 | 77 | 2011 |

On accurate product integration rules for linear fractional differential equations R Garrappa, M Popolizio Journal of Computational and Applied Mathematics 235 (5), 1085-1097, 2011 | 76 | 2011 |

Solving the time-fractional Schrödinger equation by Krylov projection methods R Garrappa, I Moret, M Popolizio Journal of Computational Physics 293, 115-134, 2015 | 74 | 2015 |

Numerical solution of multiterm fractional differential equations using the matrix Mittag–Leffler functions M Popolizio Mathematics 6 (1), 7, 2018 | 34 | 2018 |

On the time-fractional Schrödinger equation: Theoretical analysis and numerical solution by matrix Mittag-Leffler functions R Garrappa, I Moret, M Popolizio Computers & Mathematics with Applications 74 (5), 977-992, 2017 | 30 | 2017 |

The restarted shift‐and‐invert Krylov method for matrix functions I Moret, M Popolizio Numerical Linear Algebra with Applications 21 (1), 68-80, 2014 | 24 | 2014 |

On the matrix Mittag–Leffler function: theoretical properties and numerical computation M Popolizio Mathematics 7 (12), 1140, 2019 | 23 | 2019 |

A matrix approach for partial differential equations with Riesz space fractional derivatives M Popolizio The European Physical Journal Special Topics 222 (8), 1975-1985, 2013 | 22 | 2013 |

On stochasticity preserving methods for the computation of the matrix pth root T Politi, M Popolizio Mathematics and Computers in Simulation 110, 53-68, 2015 | 14 | 2015 |

Exponential quadrature rules for linear fractional differential equations R Garrappa, M Popolizio Mediterranean Journal of Mathematics 12, 219-244, 2015 | 10 | 2015 |

A computationally efficient strategy for time-fractional diffusion-reaction equations R Garrappa, M Popolizio Computers & Mathematics with Applications 116, 181-193, 2022 | 6 | 2022 |

Time-domain simulation for fractional relaxation of Havriliak-Negami type R Garrappa, G Maione, M Popolizio ICFDA'14 International Conference on Fractional Differentiation and Its …, 2014 | 6 | 2014 |

: Evaluation of generalized Mittag-Leffler functions on the real line. Adv. Comput. Math. 39 (1), 205-225 R Garrappa, M Popolizio | 6 | 2013 |

Missing data imputation in meteorological datasets with the GAIN method M Popolizio, A Amato, T Politi, R Calienno, V Di Lecce 2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT …, 2021 | 5 | 2021 |