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Researcher · Laboratoire d'Informatique de l'École Polytechnique · France

Maks Ovsjanikov

Maks Ovsjanikov publishes mostly in Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design, on topics such as 3D Shape Modeling and Analysis, Computer Graphics and Visualization Techniques and Image Processing and 3D Reconstruction.

ORCID 0000-0002-5867-4046 OpenAlex
World rank
#89,697
of 7,710,434 ranked researchers
Rank in France
#7,556
of 324,115
Works
212
Citations
8.3k
Citations per work
39.2
h-index
39
i10-index 86Top 2.5% in Computer Vision and Pattern Recognition
Maks Ovsjanikov

What does Maks Ovsjanikov research?

Maks Ovsjanikov's work is mostly in Computer Science (54%), Engineering (29%), Earth and Planetary Sciences (4%).

Physical Sciences: 185 works · 87.1% of their workComputer Science: 115 works · 54.4% of their workComputer Vision and Pattern Recognition: 72 works · 34.1% of their workComputer Graphics and Computer-Aided Design: 31 works · 14.4% of their workArtificial Intelligence: 7 works · 3.1% of their workComputational Theory and Mathematics: 6 works · 2.8% of their workEngineering: 61 works · 29.0% of their workComputational Mechanics: 61 works · 29.0% of their workEarth and Planetary Sciences: 8 works · 3.7% of their workGeology: 8 works · 3.7% of their workEverything else: 27 works · 12.9% of their workTHEIR WORKMaks Ovsjanikov212works
Physical Sciences87%

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 Science11554.4%
    2. Engineering6129.0%
    3. Earth and Planetary Sciences83.7%
  2. Everything else2712.9%
  1. 1Computer Vision and Pattern Recognition34% of their works
  2. 2Computational Mechanics29% of their works
  3. 3Computer Graphics and Computer-Aided Design14% of their works
  4. 4Geology4% of their works
  5. 5Artificial Intelligence3% of their works
  6. 6Computational Theory and Mathematics3% of their works

Research topics

Which keywords describe Maks Ovsjanikov's research?

The keywords of their largest research topics: Deep Learning, 3D Reconstruction, Point Clouds, Mesh Segmentation, Shape Representation, Computer Graphics, Visualization and Cultural Heritage.

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 20 words, with their numbers
  1. Deep Learning1662 topics
  2. 3D Reconstruction1652 topics
  3. Point Clouds1652 topics
  4. Mesh Segmentation1421 topic
  5. Shape Representation1421 topic
  6. Computer Graphics741 topic
  7. Visualization741 topic
  8. Cultural Heritage672 topics
  9. Fragmented Objects441 topic
  10. Reconstruction441 topic
  11. Finite Elements321 topic
  12. NURBS321 topic
  13. Content-Based Image Retrieval291 topic
  14. Shape Matching291 topic
  15. Depth Estimation251 topic
  16. Stereo Vision251 topic
  17. Feature Matching241 topic
  18. Local Descriptors241 topic
  19. Photogrammetry231 topic
  20. UAV231 topic

Where does Maks Ovsjanikov work?

Maks Ovsjanikov's main affiliation in the publication record is Laboratoire d'Informatique de l'École Polytechnique, France.

How many publications and citations does Maks Ovsjanikov have?

OpenAlex counts 212 works and 8,314 citations for Maks Ovsjanikov, an h-index of 39, ranking #89,697 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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