David Cohen‐Steiner

57 papers receiving 3.9k citations

Hit Papers

Stability of Persistence Diagrams200420262011201820062004100200300400500

Peers

David Cohen‐Steiner
Comparison fields: 5 of 125
  • Computational Mechanics 1.9k
  • Computer Graphics and Computer-Aided Design 1.9k
  • Computational Theory and Mathematics 1.4k
  • Computer Vision and Pattern Recognition 1.2k
  • Mathematical Physics 490
Replace Tamal K. Dey with:
Tamal K. Dey United States
Jean‐Daniel Boissonnat France
Facundo Mémoli United States
Frédéric Chazal France
Martin Rumpf Germany
Michela Spagnuolo Italy
Yiying Tong United States
Jianhong Shen United States
David H. Eberly United States
Joachim Weickert Germany
David Cohen‐Steiner relative to Tamal K. Dey United States Tamal K. Dey's profile →
Citations per field
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Tamal K. Dey · 1×
Citations per year

Countries citing papers authored by David Cohen‐Steiner

Since Specialization
Citations

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

Fields of papers citing papers by David Cohen‐Steiner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Cohen‐Steiner. 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 David Cohen‐Steiner. The network helps show where David Cohen‐Steiner may publish in the future.

Co-authorship network of co-authors of David Cohen‐Steiner

This figure shows the co-authorship network connecting the top 25 collaborators of David Cohen‐Steiner. A scholar is included among the top collaborators of David Cohen‐Steiner 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 David Cohen‐Steiner. David Cohen‐Steiner 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
#WorkIndexed citations
1 1
2 7
3
A transfer principle and applications to eigenvalue estimates for graphs
1
4 19
5 7
6 63
7 20
8 52
9 48
10 111
11 9
12
Versions of Intersection and Local Homology
1
13 8
14 32
15 8
16 17
17 18
18 1
19
Variational shape approximationbreakdown →
487
20 49

About David Cohen‐Steiner

David Cohen‐Steiner is a scholar working on Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics and Mathematical Physics, having authored 58 papers that have together received 4.1k indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (27 papers), 3D Shape Modeling and Analysis (23 papers) and Computational Geometry and Mesh Generation (22 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.9k citations), Computational Mechanics (1.9k citations) and Computational Theory and Mathematics (1.4k citations). David Cohen‐Steiner has collaborated with scholars based in France, United States and India. Frequent co-authors include Pierre Alliez, Mathieu Desbrun, Herbert Edelsbrunner, John Harer, Jean‐Marie Morvan, Bruno Lévy, Olivier Devillers, Frédéric Chazal, Mariette Yvinec and Dmitriy Morozov. Their work appears in journals such as ACM Transactions on Graphics, Journal of Differential Geometry and Computer Graphics Forum.

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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