Finite-dimensional variational inequalities and complementarity problems F Facchinei, JS Pang Springer Science & Business Media, 2007 | 4749 | 2007 |

A semismooth equation approach to the solution of nonlinear complementarity problems T De Luca, F Facchinei, C Kanzow Mathematical programming 75 (3), 407-439, 1996 | 467 | 1996 |

Generalized Nash equilibrium problems F Facchinei, C Kanzow 4or 5 (3), 173-210, 2007 | 448 | 2007 |

A smoothing method for mathematical programs with equilibrium constraints F Facchinei, H Jiang, L Qi Mathematical programming 85 (1), 107, 1999 | 389 | 1999 |

Generalized Nash equilibrium problems F Facchinei, C Kanzow Annals of Operations Research 175 (1), 177-211, 2010 | 381 | 2010 |

A new merit function for nonlinear complementarity problems and a related algorithm F Facchinei, J Soares SIAM Journal on Optimization 7 (1), 225-247, 1997 | 323 | 1997 |

Convex optimization, game theory, and variational inequality theory G Scutari, DP Palomar, F Facchinei, JS Pang IEEE Signal Processing Magazine 27 (3), 35-49, 2010 | 296 | 2010 |

On generalized Nash games and variational inequalities F Facchinei, A Fischer, V Piccialli Operations Research Letters 35 (2), 159-164, 2007 | 264 | 2007 |

On the accurate identification of active constraints F Facchinei, A Fischer, C Kanzow SIAM Journal on Optimization 9 (1), 14-32, 1998 | 244 | 1998 |

Decomposition by partial linearization: Parallel optimization of multi-agent systems G Scutari, F Facchinei, P Song, DP Palomar, JS Pang IEEE Transactions on Signal Processing 62 (3), 641-656, 2013 | 239 | 2013 |

Design of cognitive radio systems under temperature-interference constraints: A variational inequality approach JS Pang, G Scutari, DP Palomar, F Facchinei IEEE Transactions on Signal Processing 58 (6), 3251-3271, 2010 | 234 | 2010 |

Distributed power allocation with rate constraints in Gaussian parallel interference channels JS Pang, G Scutari, F Facchinei, C Wang IEEE Transactions on Information Theory 54 (8), 3471-3489, 2008 | 217 | 2008 |

Parallel and Distributed Methods for Constrained Nonconvex Optimization-Part I: Theory. G Scutari, F Facchinei, L Lampariello IEEE Trans. Signal Processing 65 (8), 1929-1944, 2017 | 216* | 2017 |

A nonsmooth inexact Newton method for the solution of large-scale nonlinear complementarity problems F Facchinei, C Kanzow Mathematical Programming 76 (3), 493-512, 1997 | 214 | 1997 |

A game-theoretic approach to computation offloading in mobile cloud computing V Cardellini, VDN Personé, V Di Valerio, F Facchinei, V Grassi, FL Presti, ... Mathematical Programming 157 (2), 421-449, 2016 | 181 | 2016 |

Quadratically and superlinearly convergent algorithms for the solution of inequality constrained minimization problems F Facchinei, S Lucidi Journal of Optimization Theory and Applications 85 (2), 265-289, 1995 | 167 | 1995 |

Parallel selective algorithms for nonconvex big data optimization F Facchinei, G Scutari, S Sagratella IEEE Transactions on Signal Processing 63 (7), 1874-1889, 2015 | 145 | 2015 |

Generalized Nash equilibrium problems and Newton methods F Facchinei, A Fischer, V Piccialli Mathematical Programming 117 (1), 163-194, 2009 | 143 | 2009 |

Beyond monotonicity in regularization methods for nonlinear complementarity problems F Facchinei, C Kanzow SIAM Journal on Control and Optimization 37 (4), 1150-1161, 1999 | 140 | 1999 |

Real and complex monotone communication games G Scutari, F Facchinei, JS Pang, DP Palomar IEEE Transactions on Information Theory 60 (7), 4197-4231, 2014 | 128 | 2014 |