Corentin Friedrich
Corentin Friedrich publishes mostly in Artificial Intelligence, Biomedical Engineering and Computer Vision and Pattern Recognition, on topics such as Microwave Imaging and Scattering Analysis, Adversarial Robustness in Machine Learning and Stochastic Gradient Optimization Techniques.
- World rank
- #5,734,701 of 7,710,434 ranked researchers
- Rank in France
- #243,456 of 324,115
- Works
- 15
- Citations
- 22
- Citations per work
- 1.5
What does Corentin Friedrich research?
Corentin Friedrich's work is mostly in Computer Science (37%), Engineering (22%), Mathematics (7%).
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
- Physical Sciences1065.9%
- Computer Science536.6%
- Engineering322.0%
- Mathematics17.3%
- Everything else426.8%
- Health Sciences17.3%
- Medicine17.3%
- 1Artificial Intelligence24% of their works
- 2Biomedical Engineering17% of their works
- 3Computer Vision and Pattern Recognition12% of their works
- 4Mathematical Physics7% of their works
- 5Radiology, Nuclear Medicine and Imaging7% of their works
- 6Computational Mechanics5% of their works
Research topics
- Microwave Imaging and Scattering Analysis
- Adversarial Robustness in Machine Learning
- Stochastic Gradient Optimization Techniques
- Numerical methods in inverse problems
- Medical Imaging Techniques and Applications
- Machine Learning and Data Classification
- Image Retrieval and Classification Techniques
- Seismic Imaging and Inversion Techniques
Which keywords describe Corentin Friedrich's research?
The keywords of their largest research topics: Breast Cancer Detection, Deep Learning, Microwave Imaging, Neural Networks, Inverse Problems, Machine Learning, Adversarial Examples and Ill-Posed Problems.
- Shape Matching
- Noisy Labels
- Full-Waveform Tomography
- Stochastic Gradient Descent
- Regularization Methods
- PET/CT
- Ill-Posed Problems
- Machine Learning
- Neural Networks
- Deep Learning
- Breast Cancer Detection
- Microwave Imaging
- Inverse Problems
- Adversarial Examples
- Imaging
- Random Projections
- Robustness
- Content-Based Image Retrieval
- Hyperparameter Optimization
- Seismic Waveform Inversion
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 20 words, with their numbers
- Breast Cancer Detection61 topic
- Deep Learning62 topics
- Microwave Imaging61 topic
- Neural Networks62 topics
- Inverse Problems52 topics
- Machine Learning52 topics
- Adversarial Examples31 topic
- Ill-Posed Problems31 topic
- Imaging31 topic
- PET/CT31 topic
- Random Projections31 topic
- Regularization Methods31 topic
- Robustness31 topic
- Stochastic Gradient Descent31 topic
- Content-Based Image Retrieval21 topic
- Full-Waveform Tomography21 topic
- Hyperparameter Optimization21 topic
- Noisy Labels21 topic
- Seismic Waveform Inversion21 topic
- Shape Matching21 topic
Where does Corentin Friedrich work?
Corentin Friedrich's main affiliation in the publication record is IRT M2P, France.
How many publications and citations does Corentin Friedrich have?
OpenAlex counts 15 works and 22 citations for Corentin Friedrich, an h-index of 3, ranking #5,734,701 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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