Vertex-frequency analysis on graphs DI Shuman, B Ricaud, P Vandergheynst Applied and Computational Harmonic Analysis 40 (2), 260-291, 2016 | 412 | 2016 |

A time-vertex signal processing framework: Scalable processing and meaningful representations for time-series on graphs F Grassi, A Loukas, N Perraudin, B Ricaud IEEE Transactions on Signal Processing 66 (3), 817-829, 2017 | 177 | 2017 |

A windowed graph Fourier transform DI Shuman, B Ricaud, P Vandergheynst 2012 IEEE Statistical Signal Processing Workshop (SSP), 133-136, 2012 | 155 | 2012 |

A survey of uncertainty principles and some signal processing applications B Ricaud, B Torrésani Advances in Computational Mathematics 40 (3), 629-650, 2014 | 96 | 2014 |

Global and local uncertainty principles for signals on graphs N Perraudin, B Ricaud, DI Shuman, P Vandergheynst APSIPA Transactions on Signal and Information Processing 7, e3, 2018 | 83 | 2018 |

Transient networks of spatio-temporal connectivity map communication pathways in brain functional systems A Griffa, B Ricaud, K Benzi, X Bresson, A Daducci, P Vandergheynst, ... NeuroImage 155, 490-502, 2017 | 73 | 2017 |

Fourier could be a data scientist: From graph Fourier transform to signal processing on graphs B Ricaud, P Borgnat, N Tremblay, P Gonçalves, P Vandergheynst Comptes Rendus. Physique 20 (5), 474-488, 2019 | 72 | 2019 |

New signal processing technique for density profile reconstruction using reflectometry F Clairet, B Ricaud, F Briolle, S Heuraux, C Bottereau Review of Scientific Instruments 82 (8), 083502-083502-9, 2011 | 31 | 2011 |

Refined support and entropic uncertainty inequalities B Ricaud, B Torrésani IEEE transactions on information theory 59 (7), 4272-4279, 2013 | 28 | 2013 |

Locating temporal functional dynamics of visual short-term memory binding using graph modular dirichlet energy K Smith, B Ricaud, N Shahid, S Rhodes, JM Starr, A Ibáńez, MA Parra, ... Scientific reports 7 (1), 42013, 2017 | 27 | 2017 |

Anomaly detection in the dynamics of web and social networks using associative memory V Miz, B Ricaud, K Benzi, P Vandergheynst The World Wide Web Conference, 1290-1299, 2019 | 25 | 2019 |

On the sparsity of wavelet coefficients for signals on graphs B Ricaud, DI Shuman, P Vandergheynst Wavelets and Sparsity XV 8858, 422-428, 2013 | 21 | 2013 |

Behavior of reed woodwind instruments around the oscillation threshold B Ricaud, P Guillemain, J Kergomard, F Silva, C Vergez Acta Acustica united with Acustica 95 (4), 733-743, 2009 | 21 | 2009 |

Principal patterns on graphs: Discovering coherent structures in datasets K Benzi, B Ricaud, P Vandergheynst IEEE Transactions on Signal and Information Processing over Networks 2 (2 …, 2016 | 20 | 2016 |

An optimally concentrated Gabor transform for localized time-frequency components B Ricaud, G Stempfel, B Torrésani, C Wiesmeyr, H Lachambre, D Onchis Advances in Computational Mathematics 40, 683-702, 2014 | 20 | 2014 |

On critical stability of three quantum charges interacting through delta potentials HD Cornean, P Duclos, B Ricaud Few-Body Systems 38 (2), 125-131, 2006 | 19 | 2006 |

A method for optimizing the ambiguity function concentration HG Feichtinger, D Onchis-Moaca, B Ricaud, B Torrésani, C Wiesmeyr 2012 Proceedings of the 20th European signal processing conference (EUSIPCO …, 2012 | 18 | 2012 |

A graph-structured dataset for Wikipedia research N Aspert, V Miz, B Ricaud, P Vandergheynst Companion Proceedings of The 2019 World Wide Web Conference, 1188-1193, 2019 | 15 | 2019 |

Tracking time-vertex propagation using dynamic graph wavelets F Grassi, N Perraudin, B Ricaud 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2016 | 14 | 2016 |

Wikipedia graph mining: dynamic structure of collective memory V Miz, K Benzi, B Ricaud, P Vandergheynst arXiv preprint arXiv:1710.00398, 2017 | 13 | 2017 |