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Researcher · Université Gustave Eiffel · France

Loïc Landrieu

Loïc Landrieu publishes mostly in Computer Vision and Pattern Recognition, Computational Mechanics and Environmental Engineering, on topics such as Remote Sensing and LiDAR Applications, Remote Sensing in Agriculture and 3D Shape Modeling and Analysis.

ORCID 0000-0002-7738-8141 OpenAlex
World rank
#264,320
of 7,710,434 ranked researchers
Rank in France
#15,877
of 324,115
Works
128
Citations
2k
Citations per work
15.4
h-index
22
i10-index 32Top 11% in Computer Vision and Pattern Recognition
Loïc Landrieu

What does Loïc Landrieu research?

Loïc Landrieu's work is mostly in Computer Science (24%), Environmental Science (18%), Engineering (10%).

Physical Sciences: 71 works · 55.3% of their workComputer Science: 30 works · 23.5% of their workComputer Vision and Pattern Recognition: 19 works · 15.2% of their workArtificial Intelligence: 11 works · 8.3% of their workEnvironmental Science: 23 works · 17.8% of their workEnvironmental Engineering: 12 works · 9.2% of their workEcology: 11 works · 8.6% of their workEngineering: 12 works · 9.5% of their workComputational Mechanics: 12 works · 9.5% of their workEarth and Planetary Sciences: 6 works · 4.5% of their workGeology: 6 works · 4.5% of their workEverything else: 57 works · 44.7% of their workTHEIR WORKLoïc Landrieu128works
Physical Sciences55%

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 Science3023.5%
    2. Environmental Science2317.8%
    3. Engineering129.5%
    4. Earth and Planetary Sciences64.5%
  2. Everything else5744.7%
  1. 1Computer Vision and Pattern Recognition15% of their works
  2. 2Computational Mechanics10% of their works
  3. 3Environmental Engineering9% of their works
  4. 4Ecology9% of their works
  5. 5Artificial Intelligence8% of their works
  6. 6Geology4% of their works

Research topics

Which keywords describe Loïc Landrieu's research?

The keywords of their largest research topics: Biomass Estimation, Remote Sensing, Deep Learning, Terrestrial Laser Scanning, 3D Reconstruction, Point Clouds, Forest Carbon Stocks and Lidar Remote Sensing.

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 22 words, with their numbers
  1. Biomass Estimation582 topics
  2. Remote Sensing543 topics
  3. Deep Learning483 topics
  4. Terrestrial Laser Scanning452 topics
  5. 3D Reconstruction412 topics
  6. Point Clouds412 topics
  7. Forest Carbon Stocks301 topic
  8. Lidar Remote Sensing301 topic
  9. Phenology281 topic
  10. Vegetation Monitoring281 topic
  11. Mesh Segmentation261 topic
  12. Shape Representation261 topic
  13. Photogrammetry151 topic
  14. UAV151 topic
  15. 3D Mapping131 topic
  16. SLAM131 topic
  17. Convolutional Neural Networks111 topic
  18. Geospatial Crowdsourcing111 topic
  19. Hyperspectral111 topic
  20. Image Analysis111 topic
  21. Image Recognition111 topic
  22. Volunteered Geographic Information111 topic

Where does Loïc Landrieu work?

Loïc Landrieu's main affiliation in the publication record is Université Gustave Eiffel, France.

How many publications and citations does Loïc Landrieu have?

OpenAlex counts 128 works and 1,965 citations for Loïc Landrieu, an h-index of 22, ranking #264,320 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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