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Researcher · Institut national de recherche en sciences et technologies du numérique · France

David Cohen‐Steiner

David Cohen‐Steiner publishes mostly in Computational Mechanics, Computer Graphics and Computer-Aided Design and Computational Theory and Mathematics, on topics such as Topological and Geometric Data Analysis, 3D Shape Modeling and Analysis and Computational Geometry and Mesh Generation.

ORCID 0009-0001-4079-0161 OpenAlex
World rank
#141,773
of 7,710,434 ranked researchers
Rank in France
#10,222
of 324,115
Works
102
Citations
8k
Citations per work
78.0
h-index
36
i10-index 53Top 3.9% in Computational Mechanics
David Cohen‐Steiner

What does David Cohen‐Steiner research?

David Cohen‐Steiner's work is mostly in Computer Science (47%), Engineering (21%), Mathematics (10%).

Physical Sciences: 81 works · 79.1% of their workComputer Science: 48 works · 47.3% of their workComputer Graphics and Computer-Aided Design: 18 works · 17.7% of their workComputational Theory and Mathematics: 16 works · 15.5% of their workComputer Vision and Pattern Recognition: 14 works · 14.1% of their workEngineering: 22 works · 21.3% of their workComputational Mechanics: 22 works · 21.3% of their workMathematics: 11 works · 10.5% of their workMathematical Physics: 7 works · 6.9% of their workApplied Mathematics: 4 works · 3.6% of their workEverything else: 21 works · 20.9% of their workTHEIR WORKDavidCohen‐Steiner102works
Physical Sciences79%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science4847.3%
    2. Engineering2221.3%
    3. Mathematics1110.5%
  2. Everything else2120.9%
  1. 1Computational Mechanics21% of their works
  2. 2Computer Graphics and Computer-Aided Design18% of their works
  3. 3Computational Theory and Mathematics16% of their works
  4. 4Computer Vision and Pattern Recognition14% of their works
  5. 5Mathematical Physics7% of their works
  6. 6Applied Mathematics4% of their works

Research topics

Which keywords describe David Cohen‐Steiner's research?

The keywords of their largest research topics: Persistent Homology, Topological Methods, Deep Learning, Point Clouds, Delaunay Triangulations, Mesh Generation, Finite Elements and NURBS.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 16 words, with their numbers
  1. Persistent Homology391 topic
  2. Topological Methods391 topic
  3. Deep Learning351 topic
  4. Point Clouds351 topic
  5. Delaunay Triangulations311 topic
  6. Mesh Generation311 topic
  7. Finite Elements241 topic
  8. NURBS241 topic
  9. Connected Components191 topic
  10. Labeling191 topic
  11. Computer Graphics181 topic
  12. Visualization181 topic
  13. Deformation Quantization141 topic
  14. Poisson Manifolds141 topic
  15. Depth Estimation71 topic
  16. Stereo Vision71 topic

Where does David Cohen‐Steiner work?

David Cohen‐Steiner's main affiliation in the publication record is Institut national de recherche en sciences et technologies du numérique, France.

How many publications and citations does David Cohen‐Steiner have?

OpenAlex counts 102 works and 7,959 citations for David Cohen‐Steiner, an h-index of 36, ranking #141,773 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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