Topological methods for the analysis of high dimensional data sets and 3d object recognition. G Singh, F Mémoli, GE Carlsson Point Based Graphics. 2 (2007), 2007 | 877 | 2007 |

Gromov¡VWasserstein distances and the metric approach to object matching F Mémoli Foundations of Computational Mathematics 11 (4), 417-487, 2011 | 578 | 2011 |

Characterization, stability and convergence of hierarchical clustering methods. GE Carlsson, F Mémoli J. Mach. Learn. Res. 11 (Apr), 1425-1470, 2010 | 400* | 2010 |

One point isometric matching with the heat kernel M Ovsjanikov, Q Mérigot, F Mémoli, L Guibas Computer Graphics Forum 29 (5), 1555-1564, 2010 | 394 | 2010 |

A theoretical and computational framework for isometry invariant recognition of point cloud data F Mémoli, G Sapiro Foundations of Computational Mathematics 5, 313-347, 2005 | 383 | 2005 |

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 | 333 | 2009 |

On the use of Gromov-Hausdorff distances for shape comparison F Mémoli Point Based Graphics. 2 (2007), 2007 | 260 | 2007 |

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 | 242 | 2008 |

A topological paradigm for hippocampal spatial map formation using persistent homology Y Dabaghian, F Mémoli, L Frank, G Carlsson PLOS Computational Biology (Public Library of Science) 8 (8), e1002581, 2012 | 220 | 2012 |

Comparing point clouds F Mémoli, G Sapiro Proc. of the 2004 Eurographics/ACM SIGGRAPH Symposium on Geometry processing ¡K, 2004 | 156 | 2004 |

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 | 154 | 2001 |

Spectral Gromov-Wasserstein distances for shape matching F Mémoli 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV ¡K, 2009 | 125 | 2009 |

Implicit brain imaging F Mémoli, G Sapiro, P Thompson NeuroImage 23, S179-S188, 2004 | 119 | 2004 |

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 | 115* | 2005 |

Classifying clustering schemes G Carlsson, F Mémoli Foundations of Computational Mathematics 13, 221-252, 2013 | 109 | 2013 |

Gromov-Hausdorff distances in Euclidean spaces F Mémoli 2008 IEEE Computer Society Conference on Computer Vision and Pattern ¡K, 2008 | 104 | 2008 |

The Gromov¡VWasserstein distance between networks and stable network invariants S Chowdhury, F Mémoli Information and Inference: A Journal of the IMA 8 (4), 757-787, 2019 | 97 | 2019 |

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 | 91 | 2004 |

Some properties of Gromov¡VHausdorff distances F Mémoli Discrete & Computational Geometry 48, 416-440, 2012 | 87 | 2012 |

A functorial Dowker theorem and persistent homology of asymmetric networks S Chowdhury, F Mémoli Journal of Applied and Computational Topology 2, 115-175, 2018 | 80* | 2018 |