Topological methods for the analysis of high dimensional data sets and 3d object recognition. G Singh, F Mémoli, GE Carlsson SPBG 91, 100, 2007 | 424 | 2007 |

One point isometric matching with the heat kernel M Ovsjanikov, Q Mérigot, F Mémoli, L Guibas Computer Graphics Forum 29 (5), 1555-1564, 2010 | 333 | 2010 |

A theoretical and computational framework for isometry invariant recognition of point cloud data F Mémoli, G Sapiro Foundations of Computational Mathematics 5 (3), 313-347, 2005 | 307 | 2005 |

Characterization, stability and convergence of hierarchical clustering methods G Carlsson, F Mémoli The Journal of Machine Learning Research 11, 1425-1470, 2010 | 222 | 2010 |

Gromov‐Hausdorff stable signatures for shapes using persistence F Chazal, D Cohen‐Steiner, LJ Guibas, F Mémoli, SY Oudot Computer Graphics Forum 28 (5), 1393-1403, 2009 | 206 | 2009 |

Gromov–Wasserstein distances and the metric approach to object matching F Mémoli Foundations of computational mathematics 11 (4), 417-487, 2011 | 176 | 2011 |

Topological analysis of population activity in visual cortex G Singh, F Memoli, T Ishkhanov, G Sapiro, G Carlsson, DL Ringach Journal of vision 8 (8), 11-11, 2008 | 173 | 2008 |

On the use of Gromov-Hausdorff distances for shape comparison F Mémoli The Eurographics Association, 2007 | 161 | 2007 |

A topological paradigm for hippocampal spatial map formation using persistent homology Y Dabaghian, F Mémoli, L Frank, G Carlsson PLoS Comput Biol 8 (8), e1002581, 2012 | 152 | 2012 |

Fast computation of weighted distance functions and geodesics on implicit hyper-surfaces F Mémoli, G Sapiro Journal of computational Physics 173 (2), 730-764, 2001 | 145 | 2001 |

Comparing point clouds F Mémoli, G Sapiro Proceedings of the 2004 Eurographics/ACM SIGGRAPH symposium on Geometry …, 2004 | 104 | 2004 |

Implicit brain imaging F Mémoli, G Sapiro, P Thompson NeuroImage 23, S179-S188, 2004 | 87 | 2004 |

Spectral Gromov-Wasserstein distances for shape matching F Mémoli 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009 | 84 | 2009 |

Solving variational problems and partial differential equations mapping into general target manifolds F Mémoli, G Sapiro, S Osher Journal of Computational Physics 195 (1), 263-292, 2004 | 81 | 2004 |

Gromov-Hausdorff distances in Euclidean spaces F Mémoli 2008 IEEE Computer Society Conference on Computer Vision and Pattern …, 2008 | 67 | 2008 |

Distance Functions and Geodesics on Submanifolds of \R^d and Point Clouds F Mémoli, G Sapiro SIAM Journal on Applied Mathematics 65 (4), 1227-1260, 2005 | 65 | 2005 |

Classifying clustering schemes G Carlsson, F Mémoli Foundations of Computational Mathematics 13 (2), 221-252, 2013 | 54 | 2013 |

A spectral notion of Gromov–Wasserstein distance and related methods F Mémoli Applied and Computational Harmonic Analysis 30 (3), 363-401, 2011 | 51 | 2011 |

Axiomatic construction of hierarchical clustering in asymmetric networks G Carlsson, F Mémoli, A Ribeiro, S Segarra 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 48 | 2013 |

Some properties of Gromov–Hausdorff distances F Mémoli Discrete & Computational Geometry 48 (2), 416-440, 2012 | 42 | 2012 |