| 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 | 761 | 2007 |
| Gromov–Wasserstein distances and the metric approach to object matching F Mémoli Foundations of Computational Mathematics 11 (4), 417-487, 2011 | 432 | 2011 |
| One point isometric matching with the heat kernel M Ovsjanikov, Q Mérigot, F Mémoli, L Guibas Computer Graphics Forum 29 (5), 1555-1564, 2010 | 393 | 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 | 361 | 2005 |
| Characterization, stability and convergence of hierarchical clustering methods. GE Carlsson, F Mémoli J. Mach. Learn. Res. 11 (Apr), 1425-1470, 2010 | 360* | 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 | 287 | 2009 |
| On the use of Gromov-Hausdorff distances for shape comparison F Mémoli Point Based Graphics. 2 (2007), 2007 | 224 | 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 | 219 | 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 | 202 | 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 | 150 | 2001 |
| Comparing point clouds F Mémoli, G Sapiro Proc. of the 2004 Eurographics/ACM SIGGRAPH Symposium on Geometry processing …, 2004 | 143 | 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 | 111* | 2005 |
| Implicit brain imaging F Mémoli, G Sapiro, P Thompson NeuroImage 23, S179-S188, 2004 | 110 | 2004 |
| Spectral Gromov-Wasserstein distances for shape matching F Mémoli 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009 | 104 | 2009 |
| Gromov-Hausdorff distances in Euclidean spaces F Mémoli 2008 IEEE Computer Society Conference on Computer Vision and Pattern …, 2008 | 100 | 2008 |
| Classifying clustering schemes G Carlsson, F Mémoli Foundations of Computational Mathematics 13, 221-252, 2013 | 98 | 2013 |
| 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 | 89 | 2004 |
| The Gromov–Wasserstein distance between networks and stable network invariants S Chowdhury, F Mémoli Information and Inference: A Journal of the IMA 8 (4), 757-787, 2019 | 71 | 2019 |
| Some properties of Gromov–Hausdorff distances F Mémoli Discrete & Computational Geometry 48, 416-440, 2012 | 70 | 2012 |
| Multiscale mapper: Topological summarization via codomain covers TK Dey, F Mémoli, Y Wang Proc. of the 27th annual ACM-SIAM Symposium on Discrete Algorithms (SODA …, 2016 | 66 | 2016 |
