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Researcher · Université Gustave Eiffel · France

Michaël Ramamonjisoa

Michaël Ramamonjisoa publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, on topics such as Advanced Vision and Imaging, Advanced Neural Network Applications and Multimodal Machine Learning Applications.

OpenAlex
World rank
#1,916,509
of 7,710,434 ranked researchers
Rank in France
#83,845
of 324,115
Works
26
Citations
219
Citations per work
8.4
h-index
7
i10-index 6Top 69% in Computer Vision and Pattern Recognition
Michaël Ramamonjisoa

What does Michaël Ramamonjisoa research?

Michaël Ramamonjisoa's work is mostly in Computer Science (61%), Engineering (19%), Environmental Science (5%).

Physical Sciences: 22 works · 85.4% of their workComputer Science: 16 works · 61.4% of their workComputer Vision and Pattern Recognition: 13 works · 50.7% of their workArtificial Intelligence: 3 works · 10.7% of their workEngineering: 5 works · 18.7% of their workAerospace Engineering: 2 works · 6.7% of their workMedia Technology: 2 works · 6.7% of their workComputational Mechanics: 1 works · 5.3% of their workEnvironmental Science: 1 works · 5.3% of their workEnvironmental Engineering: 1 works · 5.3% of their workEverything else: 4 works · 14.6% of their workTHEIR WORKMichaëlRamamonjisoa26works
Physical Sciences85%

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 Science1661.4%
    2. Engineering518.7%
    3. Environmental Science15.3%
  2. Everything else414.6%
  1. 1Computer Vision and Pattern Recognition51% of their works
  2. 2Artificial Intelligence11% of their works
  3. 3Media Technology7% of their works
  4. 4Aerospace Engineering7% of their works
  5. 5Computational Mechanics5% of their works
  6. 6Environmental Engineering5% of their works

Research topics

Which keywords describe Michaël Ramamonjisoa's research?

The keywords of their largest research topics: Deep Learning, Depth Estimation, Neural Networks, Optical Flow, Stereo Vision, Convolutional Neural Networks, Image Recognition and Autofocusing.

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 19 words, with their numbers
  1. Deep Learning194 topics
  2. Depth Estimation152 topics
  3. Neural Networks102 topics
  4. Optical Flow101 topic
  5. Stereo Vision101 topic
  6. Convolutional Neural Networks61 topic
  7. Image Recognition61 topic
  8. Autofocusing51 topic
  9. Image Captioning51 topic
  10. Microscopy51 topic
  11. Visual Question Answering51 topic
  12. 3D Mapping41 topic
  13. 3D Reconstruction41 topic
  14. Feature Matching41 topic
  15. Forest Carbon Stocks41 topic
  16. Lidar Remote Sensing41 topic
  17. Local Descriptors41 topic
  18. Point Clouds41 topic
  19. SLAM41 topic

Where does Michaël Ramamonjisoa work?

Michaël Ramamonjisoa's main affiliation in the publication record is Université Gustave Eiffel, France.

How many publications and citations does Michaël Ramamonjisoa have?

OpenAlex counts 26 works and 219 citations for Michaël Ramamonjisoa, an h-index of 7, ranking #1,916,509 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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