Steve Oudot

3.8k total citations
50 papers, 1.3k citations indexed

About

Steve Oudot is a scholar working on Computational Theory and Mathematics, Mathematical Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Steve Oudot has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computational Theory and Mathematics, 16 papers in Mathematical Physics and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Steve Oudot's work include Topological and Geometric Data Analysis (38 papers), Homotopy and Cohomology in Algebraic Topology (16 papers) and Computational Geometry and Mesh Generation (12 papers). Steve Oudot is often cited by papers focused on Topological and Geometric Data Analysis (38 papers), Homotopy and Cohomology in Algebraic Topology (16 papers) and Computational Geometry and Mesh Generation (12 papers). Steve Oudot collaborates with scholars based in France, United States and Netherlands. Steve Oudot's co-authors include Frédéric Chazal, Jean‐Daniel Boissonnat, Leonidas Guibas, Vin de Silva, Primož Škraba, Mathieu Carrière, Marc Glisse, David Cohen‐Steiner, Facundo Mémoli and Maks Ovsjanikov and has published in prestigious journals such as Bioinformatics, Journal of the ACM and Advances in Mathematics.

In The Last Decade

Steve Oudot

43 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steve Oudot France 16 853 374 311 253 247 50 1.3k
Frédéric Chazal France 23 1.2k 1.4× 389 1.0× 663 2.1× 375 1.5× 319 1.3× 63 1.9k
Patrizio Frosini Italy 18 681 0.8× 254 0.7× 494 1.6× 56 0.2× 108 0.4× 57 1.1k
Dmitriy Morozov United States 18 733 0.9× 259 0.7× 275 0.9× 73 0.3× 204 0.8× 45 1.0k
Vijay Natarajan India 24 798 0.9× 66 0.2× 838 2.7× 374 1.5× 115 0.5× 89 1.5k
Michael Kerber Austria 15 561 0.7× 133 0.4× 84 0.3× 99 0.4× 96 0.4× 47 799
Claudia Landi Italy 15 486 0.6× 175 0.5× 295 0.9× 37 0.1× 86 0.3× 42 707
Attila Gyulassy United States 21 540 0.6× 48 0.1× 507 1.6× 229 0.9× 80 0.3× 38 1.1k
Abderrahim Elmoataz France 19 195 0.2× 91 0.2× 662 2.1× 78 0.3× 113 0.5× 82 1.2k
Andrzej Szymczak United States 19 183 0.2× 191 0.5× 313 1.0× 373 1.5× 31 0.1× 43 918
Massimo Ferri Italy 18 345 0.4× 199 0.5× 248 0.8× 58 0.2× 48 0.2× 87 1.2k

Countries citing papers authored by Steve Oudot

Since Specialization
Citations

This map shows the geographic impact of Steve Oudot'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 Steve Oudot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Oudot more than expected).

Fields of papers citing papers by Steve Oudot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve Oudot. 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 Steve Oudot. The network helps show where Steve Oudot may publish in the future.

Co-authorship network of co-authors of Steve Oudot

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Oudot. A scholar is included among the top collaborators of Steve Oudot 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 Steve Oudot. Steve Oudot 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.
Oppermann, Steffen, et al.. (2024). On the bottleneck stability of rank decompositions of multi-parameter persistence modules. Advances in Mathematics. 451. 109780–109780. 3 indexed citations
2.
Oppermann, Steffen, et al.. (2024). Signed Barcodes for Multi-parameter Persistence via Rank Decompositions and Rank-Exact Resolutions. Foundations of Computational Mathematics. 25(5). 1815–1874. 3 indexed citations
3.
Oudot, Steve, et al.. (2023). Local Characterizations for Decomposability of 2-Parameter Persistence Modules. Algebras and Representation Theory. 26(6). 3003–3046.
4.
Oudot, Steve, et al.. (2020). On Rectangle-Decomposable 2-Parameter Persistence Modules. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 2 indexed citations
5.
Oudot, Steve, et al.. (2020). Decomposition of exact pfd persistence bimodules. HAL (Le Centre pour la Communication Scientifique Directe). 12 indexed citations
6.
Carrière, Mathieu, Bertrand Michel, & Steve Oudot. (2018). Statistical analysis and parameter selection for Mapper. HAL (Le Centre pour la Communication Scientifique Directe).
7.
Oudot, Steve, et al.. (2018). Clustering soft par diffusion basée sur la densité. HAL (Le Centre pour la Communication Scientifique Directe). 6 indexed citations
8.
Miller, Gary L., et al.. (2018). Mesh Enhanced Persistent Homology. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University).
9.
Carrière, Mathieu & Steve Oudot. (2017). Structure and Stability of the One-Dimensional Mapper. HAL (Le Centre pour la Communication Scientifique Directe). 25 indexed citations
10.
Chazal, Frédéric, et al.. (2016). Efficient and robust persistent homology for measures. Computational Geometry. 58. 70–96. 20 indexed citations
11.
Oudot, Steve. (2015). Persistence Theory: From Quiver Representations to Data Analysis. Mathematical surveys and monographs. 103 indexed citations
12.
Boissonnat, Jean‐Daniel, et al.. (2014). Only distances are required to reconstruct submanifolds. arXiv (Cornell University). 3 indexed citations
13.
Chazal, Frédéric, Vin de Silva, & Steve Oudot. (2013). Persistence stability for geometric complexes. Geometriae Dedicata. 173(1). 193–214. 105 indexed citations
14.
Chazal, Frédéric, Leonidas Guibas, Steve Oudot, & Primož Škraba. (2009). Analysis of scalar fields over point cloud data. Symposium on Discrete Algorithms. 1021–1030. 30 indexed citations
15.
Gao, Jie, et al.. (2008). Geodesic Delaunay triangulation and witness complex in the plane. Symposium on Discrete Algorithms. 571–580. 9 indexed citations
16.
Guibas, Leonidas & Steve Oudot. (2008). Reconstruction Using Witness Complexes. Discrete & Computational Geometry. 40(3). 325–356. 28 indexed citations
17.
Guibas, Leonidas & Steve Oudot. (2007). Reconstruction using witness complexes. Symposium on Discrete Algorithms. 1076–1085. 12 indexed citations
18.
Boissonnat, Jean‐Daniel, Leonidas Guibas, & Steve Oudot. (2006). Learning smooth shapes by probing. Computational Geometry. 37(1). 38–58. 5 indexed citations
19.
Boissonnat, J. D. & Steve Oudot. (2004). An effective condition for sampling surfaces with guarantees. 101–112. 4 indexed citations
20.
Boissonnat, Jean‐Daniel, Leonidas Guibas, & Steve Oudot. (2004). Learning Surfaces by Probing. HAL (Le Centre pour la Communication Scientifique Directe). 21. 1 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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