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Researcher · Université Gustave Eiffel · France

Marc Pierrot-Deseilligny

Marc Pierrot-Deseilligny publishes mostly in Computer Vision and Pattern Recognition, Aerospace Engineering and Geology, on topics such as Advanced Vision and Imaging, Robotics and Sensor-Based Localization and 3D Surveying and Cultural Heritage.

ORCID 0000-0003-4088-4771 OpenAlex
World rank
#2,459,321
of 7,710,434 ranked researchers
Rank in France
#105,298
of 324,115
Works
24
Citations
268
Citations per work
11.2
h-index
8
i10-index 8Top 60% in Computer Vision and Pattern Recognition
Marc Pierrot-Deseilligny

What does Marc Pierrot-Deseilligny research?

Marc Pierrot-Deseilligny's work is mostly in Computer Science (39%), Earth and Planetary Sciences (16%), Engineering (16%).

Physical Sciences: 19 works · 77.4% of their workComputer Science: 9 works · 39.4% of their workComputer Vision and Pattern Recognition: 9 works · 36.6% of their workArtificial Intelligence: 1 works · 2.8% of their workEarth and Planetary Sciences: 4 works · 15.5% of their workGeology: 3 works · 12.7% of their workSpace and Planetary Science: 1 works · 2.8% of their workEngineering: 4 works · 15.5% of their workAerospace Engineering: 4 works · 15.5% of their workEnvironmental Science: 2 works · 7.0% of their workEnvironmental Engineering: 2 works · 7.0% of their workEverything else: 5 works · 22.6% of their workTHEIR WORKMarcPierrot-Deseilligny24works
Physical Sciences77%

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 Science939.4%
    2. Earth and Planetary Sciences415.5%
    3. Engineering415.5%
    4. Environmental Science27.0%
  2. Everything else522.6%
  1. 1Computer Vision and Pattern Recognition37% of their works
  2. 2Aerospace Engineering16% of their works
  3. 3Geology13% of their works
  4. 4Environmental Engineering7% of their works
  5. 5Space and Planetary Science3% of their works
  6. 6Artificial Intelligence3% of their works

Research topics

Which keywords describe Marc Pierrot-Deseilligny's research?

The keywords of their largest research topics: Convolutional Networks, Terrestrial Laser Scanning, Depth Estimation, Stereo Vision, 3D Mapping, Cultural Heritage, Remote Sensing and SLAM.

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 21 words, with their numbers
  1. Convolutional Networks152 topics
  2. Terrestrial Laser Scanning142 topics
  3. Depth Estimation121 topic
  4. Stereo Vision121 topic
  5. 3D Mapping111 topic
  6. Cultural Heritage112 topics
  7. Remote Sensing112 topics
  8. SLAM111 topic
  9. Photogrammetry91 topic
  10. UAV91 topic
  11. Deep Learning72 topics
  12. Forest Carbon Stocks51 topic
  13. Lidar Remote Sensing51 topic
  14. Feature Matching41 topic
  15. Local Descriptors41 topic
  16. Camera Calibration31 topic
  17. Image31 topic
  18. Structured Light31 topic
  19. Super-Resolution31 topic
  20. Archaeology21 topic
  21. LiDAR21 topic

Where does Marc Pierrot-Deseilligny work?

Marc Pierrot-Deseilligny's main affiliation in the publication record is Université Gustave Eiffel, France.

How many publications and citations does Marc Pierrot-Deseilligny have?

OpenAlex counts 24 works and 268 citations for Marc Pierrot-Deseilligny, an h-index of 8, ranking #2,459,321 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.

Discussion

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