Steve Oudot

43 papers receiving 1.2k citations

Peers

Steve Oudot
Comparison fields: 5 of 97
  • Computer Graphics and Computer-Aided Design 253
  • Computational Theory and Mathematics 853
  • Mathematical Physics 374
  • Biophysics 171
  • Computer Vision and Pattern Recognition 311
Replace Frédéric Chazal with:
Frédéric Chazal France
Michael Kerber Austria
Patrizio Frosini Italy
Vijay Natarajan India
Dmitriy Morozov United States
Claudia Landi Italy
Andrzej Szymczak United States
James Damon United States
Massimo Ferri Italy
Attila Gyulassy United States
Steve Oudot relative to Frédéric Chazal France Frédéric Chazal's profile →
Citations per field
00.5×1.5×
Frédéric Chazal · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Steve Oudot, 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 Steve Oudot Line = papers co-authored together Steve Oudot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005199
2 2016122
3 2009111
4 2013110
5 2013105
6 2015103
7 200878
8 201548
9 200641
10 200738
11 200930
12 200828
13
Structure and Stability of the One-Dimensional Mapper
201725
14 200924
15 200923
16 201620
17 200614
18 201114
19 201913
20 200712

About Steve Oudot

Steve Oudot is a scholar working on Computational Theory and Mathematics, Mathematical Physics, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Radiology, Nuclear Medicine and Imaging, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (38 papers), Homotopy and Cohomology in Algebraic Topology (16 papers), Computational Geometry and Mesh Generation (12 papers), Advanced Neuroimaging Techniques and Applications (11 papers), Advanced Vision and Imaging (10 papers), 3D Shape Modeling and Analysis (8 papers), Cell Image Analysis Techniques (5 papers) and Advanced Numerical Analysis Techniques (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (253 citations), Computational Theory and Mathematics (853 citations), Mathematical Physics (374 citations), Biophysics (171 citations) and Computer Vision and Pattern Recognition (311 citations). Steve Oudot has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Frédéric Chazal, Jean‐Daniel Boissonnat, Leonidas Guibas, Vin de Silva, Primož Škraba, Marc Glisse, Mathieu Carrière, David Cohen‐Steiner, Facundo Mémoli and Maks Ovsjanikov. Their work appears in journals such as Discrete & Computational Geometry, Computational Geometry, Foundations of Computational Mathematics, Computer Graphics Forum and Comptes Rendus Physique.

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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