F. Brochard
F. Brochard publishes mostly in Materials Chemistry, Nuclear and High Energy Physics and Computer Vision and Pattern Recognition, on topics such as Magnetic confinement fusion research, Anomaly Detection Techniques and Applications and Domain Adaptation and Few-Shot Learning.
- World rank
- #1,436,761 of 1,633,909 ranked researchers
- Rank in France
- #86,480 of 96,116
- Works
- 18
- Citations
- 25
- Citations per work
- 1.4
What does F. Brochard research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Materials Chemistry18% of their works
- 2Nuclear and High Energy Physics18% of their works
- 3Computer Vision and Pattern Recognition14% of their works
- 4Artificial Intelligence9% of their works
- 5Astronomy and Astrophysics9% of their works
- 6Computational Mechanics4% of their works
Research topics
- Magnetic confinement fusion research
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Advanced Image Processing Techniques
- Particle accelerators and beam dynamics
- Superconducting Materials and Applications
Which keywords describe F. Brochard's research?
The keywords of their largest research topics: Deep Learning, Tokamak, Turbulence, Neural Networks, Anomaly Detection, Convolutional Neural Networks, Domain Adaptation and Feature Matching.
- Unsupervised
- Superconducting Magnets
- Super-Resolution
- Nb3Sn Conductor
- Image Recognition
- Feature Matching
- Convolutional Neural Networks
- Neural Networks
- Tokamak
- Deep Learning
- Turbulence
- Anomaly Detection
- Domain Adaptation
- Image
- Local Descriptors
- Negative Ion Sources
- Superconducting Cavities
- Transfer Learning
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.
All 18 words, with their numbers
- Deep Learning44 topics
- Tokamak41 topic
- Turbulence41 topic
- Neural Networks22 topics
- Anomaly Detection11 topic
- Convolutional Neural Networks11 topic
- Domain Adaptation11 topic
- Feature Matching11 topic
- Image11 topic
- Image Recognition11 topic
- Local Descriptors11 topic
- Nb3Sn Conductor11 topic
- Negative Ion Sources11 topic
- Super-Resolution11 topic
- Superconducting Cavities11 topic
- Superconducting Magnets11 topic
- Transfer Learning11 topic
- Unsupervised11 topic
Where does F. Brochard work?
F. Brochard's main affiliation in the publication record is Université de Lorraine, France.
How many publications and citations does F. Brochard have?
Science Explorer counts 18 works and 25 citations for F. Brochard, ranking #1,436,761 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised 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.
Other researchers named F. Brochard
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