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Researcher · Institut Mines-Télécom · France

Jean‐Philippe Vandeborre

Jean‐Philippe Vandeborre publishes mostly in Computer Vision and Pattern Recognition, Computational Mechanics and Cognitive Neuroscience, on topics such as 3D Shape Modeling and Analysis, Image Processing and 3D Reconstruction and Image Retrieval and Classification Techniques.

ORCID 0000-0003-2056-8675 OpenAlex
World rank
#1,720,758
of 7,710,434 ranked researchers
Rank in France
#76,107
of 324,115
Works
77
Citations
1.5k
Citations per work
19.6
h-index
18
i10-index 27Top 17% in Computer Vision and Pattern Recognition
Jean‐Philippe Vandeborre

What does Jean‐Philippe Vandeborre research?

Jean‐Philippe Vandeborre's work is mostly in Computer Science (53%), Engineering (19%), Neuroscience (8%).

Physical Sciences: 55 works · 71.3% of their workComputer Science: 40 works · 52.5% of their workComputer Vision and Pattern Recognition: 30 works · 38.6% of their workHuman-Computer Interaction: 6 works · 7.2% of their workComputer Graphics and Computer-Aided Design: 5 works · 6.7% of their workEngineering: 14 works · 18.8% of their workComputational Mechanics: 12 works · 15.7% of their workControl and Systems Engineering: 2 works · 3.1% of their workEverything else: 16 works · 21.1% of their workLife Sciences: 6 works · 7.6% of their workNeuroscience: 6 works · 7.6% of their workCognitive Neuroscience: 6 works · 7.6% of their workTHEIR WORKJean‐PhilippeVandeborre77works
Life Sciences8%Physical Sciences71%

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 Science4052.5%
    2. Engineering1418.8%
  2. Everything else1621.1%
    1. Neuroscience67.6%
  1. 1Computer Vision and Pattern Recognition39% of their works
  2. 2Computational Mechanics16% of their works
  3. 3Cognitive Neuroscience8% of their works
  4. 4Human-Computer Interaction7% of their works
  5. 5Computer Graphics and Computer-Aided Design7% of their works
  6. 6Control and Systems Engineering3% of their works

Research topics

Which keywords describe Jean‐Philippe Vandeborre's research?

The keywords of their largest research topics: Deep Learning, 3D Reconstruction, Point Clouds, Fragmented Objects, Reconstruction, Content-Based Image Retrieval, Shape Matching and Action Recognition.

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 17 words, with their numbers
  1. Deep Learning724 topics
  2. 3D Reconstruction351 topic
  3. Point Clouds351 topic
  4. Fragmented Objects191 topic
  5. Reconstruction191 topic
  6. Content-Based Image Retrieval171 topic
  7. Shape Matching171 topic
  8. Action Recognition151 topic
  9. Pose Estimation151 topic
  10. Computer Graphics141 topic
  11. Visualization141 topic
  12. Feature Matching131 topic
  13. Local Descriptors131 topic
  14. Brain-Computer Interfaces101 topic
  15. EEG Analysis101 topic
  16. Gesture Recognition91 topic
  17. Human-Computer Interaction91 topic

Where does Jean‐Philippe Vandeborre work?

Jean‐Philippe Vandeborre's main affiliation in the publication record is Institut Mines-Télécom, France.

How many publications and citations does Jean‐Philippe Vandeborre have?

OpenAlex counts 77 works and 1,509 citations for Jean‐Philippe Vandeborre, an h-index of 18, ranking #1,720,758 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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