The challenge of machine learning in space weather: Nowcasting and forecasting E Camporeale Space Weather 17 (8), 1166-1207, 2019 | 111 | 2019 |

Modeling radiation belt electron dynamics during GEM challenge intervals with the DREAM3D diffusion model W Tu, GS Cunningham, Y Chen, MG Henderson, E Camporeale, ... Journal of Geophysical Research: Space Physics 118 (10), 6197-6211, 2013 | 97 | 2013 |

Electron vortex magnetic holes: A nonlinear coherent plasma structure CT Haynes, D Burgess, E Camporeale, T Sundberg Physics of Plasmas 22 (1), 012309, 2015 | 62 | 2015 |

The dissipation of solar wind turbulent fluctuations at electron scales E Camporeale, D Burgess The Astrophysical Journal 730 (2), 114, 2011 | 62 | 2011 |

Electron firehose instability: Kinetic linear theory and two‐dimensional particle‐in‐cell simulations E Camporeale, D Burgess Journal of Geophysical Research: Space Physics 113 (A7), 2008 | 61 | 2008 |

Information theoretical approach to discovering solar wind drivers of the outer radiation belt S Wing, JR Johnson, E Camporeale, GD Reeves Journal of Geophysical Research: Space Physics 121 (10), 9378-9399, 2016 | 59 | 2016 |

Turbulence Heating ObserveR–satellite mission proposal A Vaivads, A Retinò, J Soucek, YV Khotyaintsev, F Valentini, CP Escoubet, ... Journal of Plasma Physics 82 (5), 2016 | 58 | 2016 |

Model of bifurcated current sheets in the Earth's magnetotail: Equilibrium and stability E Camporeale, G Lapenta Journal of Geophysical Research: Space Physics 110 (A7), 2005 | 52 | 2005 |

Machine learning techniques for space weather E Camporeale, S Wing, J Johnson Elsevier, 2018 | 51 | 2018 |

On the velocity space discretization for the Vlasov–Poisson system: Comparison between implicit Hermite spectral and Particle-in-Cell methods E Camporeale, GL Delzanno, BK Bergen, JD Moulton Computer Physics Communications 198, 47-58, 2016 | 49 | 2016 |

CPIC: a curvilinear particle-in-cell code for plasma–material interaction studies GL Delzanno, E Camporeale, JD Moulton, JE Borovsky, EA MacDonald, ... IEEE Transactions on Plasma Science 41 (12), 3577-3587, 2013 | 49 | 2013 |

Reconnection and electron temperature anisotropy in sub-proton scale plasma turbulence CT Haynes, D Burgess, E Camporeale The Astrophysical Journal 783 (1), 38, 2014 | 48 | 2014 |

Multiple‐hour‐ahead forecast of the Dst index using a combination of long short‐term memory neural network and Gaussian process MA Gruet, M Chandorkar, A Sicard, E Camporeale Space Weather 16 (11), 1882-1896, 2018 | 44 | 2018 |

Classification of solar wind with machine learning E Camporeale, A Carè, JE Borovsky Journal of Geophysical Research: Space Physics 122 (11), 10,910-10,920, 2017 | 42 | 2017 |

Coherent structures and spectral energy transfer in turbulent plasma: a space-filter approach E Camporeale, L Sorriso-Valvo, F Califano, A Retinò Physical Review Letters 120, 125101, 2018 | 36 | 2018 |

Hybrid Vlasov-MHD models: Hamiltonian vs. non-Hamiltonian C Tronci, E Tassi, E Camporeale, PJ Morrison Plasma Physics and Controlled Fusion 56 (9), 095008, 2014 | 36 | 2014 |

New approach for the study of linear Vlasov stability of inhomogeneous systems E Camporeale, GL Delzanno, G Lapenta, W Daughton Physics of plasmas 13 (9), 092110, 2006 | 33 | 2006 |

Probabilistic forecasting of the disturbance storm time index: An autoregressive Gaussian process approach M Chandorkar, E Camporeale, S Wing Space Weather 15 (8), 1004-1019, 2017 | 32 | 2017 |

On particle movers in cylindrical geometry for Particle-In-Cell simulations GL Delzanno, E Camporeale Journal of Computational Physics 253, 259-277, 2013 | 28 | 2013 |

Neutral Vlasov kinetic theory of magnetized plasmas C Tronci, E Camporeale Physics of Plasmas 22 (2), 020704, 2015 | 26 | 2015 |