Facundo Mémoli

4.5k total citations
67 papers, 2.2k citations indexed

About

Facundo Mémoli is a scholar working on Computational Theory and Mathematics, Mathematical Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Facundo Mémoli has authored 67 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computational Theory and Mathematics, 19 papers in Mathematical Physics and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Facundo Mémoli's work include Topological and Geometric Data Analysis (47 papers), Homotopy and Cohomology in Algebraic Topology (17 papers) and 3D Shape Modeling and Analysis (13 papers). Facundo Mémoli is often cited by papers focused on Topological and Geometric Data Analysis (47 papers), Homotopy and Cohomology in Algebraic Topology (17 papers) and 3D Shape Modeling and Analysis (13 papers). Facundo Mémoli collaborates with scholars based in United States, South Korea and Australia. Facundo Mémoli's co-authors include Guillermo Sapiro, Gunnar Carlsson, Satwinder Singh, Maks Ovsjanikov, Leonidas Guibas, Quentin Mérigot, Yuri Dabaghian, Paul M. Thompson, Loren M. Frank and Leonidas Guibas and has published in prestigious journals such as PLoS ONE, NeuroImage and Journal of Computational Physics.

In The Last Decade

Facundo Mémoli

64 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Facundo Mémoli United States 22 818 746 680 336 248 67 2.2k
Frédéric Chazal France 23 1.2k 1.5× 663 0.9× 423 0.6× 375 1.1× 389 1.6× 63 1.9k
Afra Zomorodian United States 22 2.4k 2.9× 892 1.2× 190 0.3× 312 0.9× 800 3.2× 33 3.2k
Yusu Wang United States 25 473 0.6× 461 0.6× 357 0.5× 340 1.0× 99 0.4× 113 1.6k
David Cohen‐Steiner France 26 1.4k 1.7× 1.2k 1.7× 1.9k 2.7× 1.9k 5.5× 490 2.0× 58 4.1k
Steve Oudot France 16 853 1.0× 311 0.4× 225 0.3× 253 0.8× 374 1.5× 50 1.3k
Robert Ghrist United States 24 1.3k 1.6× 490 0.7× 53 0.1× 95 0.3× 591 2.4× 79 2.6k
Eric Klassen United States 23 100 0.1× 988 1.3× 452 0.7× 78 0.2× 258 1.0× 71 2.1k
Yiying Tong United States 33 323 0.4× 1.8k 2.4× 2.0k 3.0× 1.5k 4.6× 83 0.3× 107 3.9k
Pierre Kornprobst France 22 169 0.2× 2.3k 3.0× 561 0.8× 153 0.5× 241 1.0× 79 3.3k
Mathew D. Penrose United Kingdom 25 576 0.7× 180 0.2× 70 0.1× 184 0.5× 1.1k 4.3× 91 3.8k

Countries citing papers authored by Facundo Mémoli

Since Specialization
Citations

This map shows the geographic impact of Facundo Mémoli's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Facundo Mémoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Facundo Mémoli more than expected).

Fields of papers citing papers by Facundo Mémoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Facundo Mémoli. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Facundo Mémoli. The network helps show where Facundo Mémoli may publish in the future.

Co-authorship network of co-authors of Facundo Mémoli

This figure shows the co-authorship network connecting the top 25 collaborators of Facundo Mémoli. A scholar is included among the top collaborators of Facundo Mémoli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Facundo Mémoli. Facundo Mémoli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mémoli, Facundo, et al.. (2024). Vietoris–Rips persistent homology, injectivemetric spaces, and the filling radius. Algebraic & Geometric Topology. 24(2). 1019–1100. 4 indexed citations
2.
Gómez, Mario & Facundo Mémoli. (2024). Curvature Sets Over Persistence Diagrams. Discrete & Computational Geometry. 72(1). 91–180. 1 indexed citations
3.
Adams, Henry, et al.. (2024). The persistent topology of optimal transport based metric thickenings. Algebraic & Geometric Topology. 24(1). 393–447. 1 indexed citations
4.
Mémoli, Facundo, et al.. (2023). Persistent cup product structures and related invariants. 8(1). 93–148. 1 indexed citations
5.
Kim, Woojin & Facundo Mémoli. (2023). Persistence Over Posets. Notices of the American Mathematical Society. 70(8). 1–1. 1 indexed citations
6.
Dey, Tamal K., Woojin Kim, & Facundo Mémoli. (2023). Computing Generalized Rank Invariant for 2-Parameter Persistence Modules via Zigzag Persistence and Its Applications. Discrete & Computational Geometry. 71(1). 67–94. 1 indexed citations
7.
Kim, Woojin, et al.. (2023). Interleaving by Parts: Join Decompositions of Interleavings and Join-Assemblage of Geodesics. Order. 41(2). 497–537. 1 indexed citations
8.
Mémoli, Facundo, et al.. (2022). Distances and isomorphism between networks: stability and convergence of network invariants. 7(2). 243–361. 4 indexed citations
9.
Kim, Woojin, et al.. (2020). Elder-Rule-Staircodes for Augmented Metric Spaces. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 1 indexed citations
10.
Bauer, Ulrich, Claudia Landi, & Facundo Mémoli. (2020). The Reeb Graph Edit Distance Is Universal. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 1 indexed citations
11.
Mémoli, Facundo, et al.. (2020). New families of stable simplicial filtration functors. Topology and its Applications. 279. 107254–107254. 5 indexed citations
12.
Mémoli, Facundo, et al.. (2019). A Primer on Persistent Homology of Finite Metric Spaces. Bulletin of Mathematical Biology. 81(7). 2074–2116. 2 indexed citations
13.
Kim, Woojin & Facundo Mémoli. (2018). Formigrams: Clustering Summaries of Dynamic Data.. Canadian Conference on Computational Geometry. 180–188. 1 indexed citations
14.
Mémoli, Facundo, et al.. (2018). The importance of forgetting: Limiting memory improves recovery of topological characteristics from neural data. PLoS ONE. 13(9). e0202561–e0202561. 7 indexed citations
15.
Mémoli, Facundo, et al.. (2016). Improved Error Bounds for Tree Representations of Metric Spaces. Neural Information Processing Systems. 29. 2838–2846. 1 indexed citations
16.
Mémoli, Facundo, et al.. (2016). Persistent Homology of Asymmetric Networks: An Approach based on Dowker Filtrations. arXiv (Cornell University). 4 indexed citations
17.
Dabaghian, Yuri, Facundo Mémoli, Loren M. Frank, & Gunnar Carlsson. (2012). A Topological Paradigm for Hippocampal Spatial Map Formation Using Persistent Homology. PLoS Computational Biology. 8(8). e1002581–e1002581. 115 indexed citations
18.
Carlsson, Gunnar & Facundo Mémoli. (2010). Characterization, Stability and Convergence of Hierarchical Clustering Methods. Journal of Machine Learning Research. 11(47). 1425–1470. 108 indexed citations
19.
Mémoli, Facundo. (2010). A spectral notion of Gromov–Wasserstein distance and related methods. Applied and Computational Harmonic Analysis. 30(3). 363–401. 31 indexed citations
20.
Mémoli, Facundo, Guillermo Sapiro, & Paul M. Thompson. (2004). Implicit brain imaging. NeuroImage. 23. S179–S188. 81 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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