Facundo Mémoli

64 papers receiving 2.1k citations

Peers

Facundo Mémoli
Comparison fields: 5 of 139
  • Computer Graphics and Computer-Aided Design 336
  • Computational Theory and Mathematics 818
  • Computer Vision and Pattern Recognition 746
  • Computational Mechanics 680
  • Mathematical Physics 248
Replace Frédéric Chazal with:
Frédéric Chazal France
Steve Oudot France
Yusu Wang United States
Afra Zomorodian United States
David Cohen‐Steiner France
Yiying Tong United States
Vijay Natarajan India
Robert Ghrist United States
Michael Werman Israel
Pierre Kornprobst France
Facundo Mémoli relative to Frédéric Chazal France Frédéric Chazal's profile →
Citations per field
00.5×1.6×
Frédéric Chazal · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Facundo Mémoli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Facundo Mémoli Line = papers co-authored together Facundo Mémoli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007268
2 2011208
3 2010194
4 2005185
5 2008126
6 2012115
7 2009111
8
Characterization, Stability and Convergence of Hierarchical Clustering Methods
2010108
9 200791
10 200183
11 200481
12 200474
13 200959
14 200345
15 200842
16 202240
17 200534
18 201332
19 201031
20 201326

About Facundo Mémoli

Facundo Mémoli is a scholar working on Computational Theory and Mathematics, Mathematical Physics, Computer Vision and Pattern Recognition, Computational Mechanics and Geometry and Topology, having authored 67 papers that have together received 2.2k indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (47 papers), Homotopy and Cohomology in Algebraic Topology (17 papers), 3D Shape Modeling and Analysis (13 papers), Advanced Neuroimaging Techniques and Applications (10 papers), Complex Network Analysis Techniques (8 papers), Geometric Analysis and Curvature Flows (6 papers), Computational Geometry and Mesh Generation (6 papers) and Data Management and Algorithms (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (336 citations), Computational Theory and Mathematics (818 citations), Computer Vision and Pattern Recognition (746 citations), Computational Mechanics (680 citations) and Mathematical Physics (248 citations). Facundo Mémoli has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Guillermo Sapiro, Gunnar Carlsson, Satwinder Singh, Quentin Mérigot, Maks Ovsjanikov, Leonidas Guibas, Yuri Dabaghian, Loren M. Frank, Paul M. Thompson and Leonidas Guibas. Their work appears in journals such as Discrete & Computational Geometry, Foundations of Computational Mathematics, Computer Graphics Forum, Algebraic & Geometric Topology and Journal of Computational Physics.

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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