Paul Novello
Paul Novello publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, on topics such as Model Reduction and Neural Networks, Anomaly Detection Techniques and Applications and Machine Learning and Data Classification.
- World rank
- #4,265,404 of 7,710,434 ranked researchers
- Rank in France
- #179,494 of 324,115
- Works
- 21
- Citations
- 64
- Citations per work
- 3.0
What does Paul Novello research?
Paul Novello's work is mostly in Computer Science (52%), Engineering (13%), Physics and Astronomy (12%).
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 Sciences1676.7%
- Computer Science1151.7%
- Engineering313.3%
- Physics and Astronomy211.7%
- Everything else418.3%
- Social Sciences15.0%
- Decision Sciences15.0%
- 1Artificial Intelligence37% of their works
- 2Computer Vision and Pattern Recognition15% of their works
- 3Statistical and Nonlinear Physics12% of their works
- 4Aerospace Engineering8% of their works
- 5Control and Systems Engineering5% of their works
- 6Statistics, Probability and Uncertainty5% of their works
Research topics
- Model Reduction and Neural Networks
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Explainable Artificial Intelligence (XAI)
- Nuclear Engineering Thermal-Hydraulics
- Probabilistic and Robust Engineering Design
Which keywords describe Paul Novello's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Deep Neural Networks, Model Reduction, Partial Differential Equations, Anomaly Detection, Unsupervised and Convolutional Neural Networks.
- Thermal-Hydraulic Analysis
- Passive Systems
- Interpretable Models
- Image Synthesis
- Hyperparameter Optimization
- Convolutional Neural Networks
- Anomaly Detection
- Model Reduction
- Neural Networks
- Deep Learning
- Deep Neural Networks
- Partial Differential Equations
- Unsupervised
- Generative Adversarial Networks
- Image Recognition
- Noisy Labels
- Machine Learning Interpretability
- Sensitivity Analysis
- Uncertainty Quantification
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 19 words, with their numbers
- Deep Learning194 topics
- Neural Networks92 topics
- Deep Neural Networks72 topics
- Model Reduction61 topic
- Partial Differential Equations61 topic
- Anomaly Detection51 topic
- Unsupervised51 topic
- Convolutional Neural Networks41 topic
- Generative Adversarial Networks41 topic
- Hyperparameter Optimization41 topic
- Image Recognition41 topic
- Image Synthesis41 topic
- Noisy Labels41 topic
- Interpretable Models31 topic
- Machine Learning Interpretability31 topic
- Passive Systems31 topic
- Sensitivity Analysis31 topic
- Thermal-Hydraulic Analysis31 topic
- Uncertainty Quantification31 topic
Where does Paul Novello work?
Paul Novello's main affiliation in the publication record is CEA CESTA, France.
How many publications and citations does Paul Novello have?
OpenAlex counts 21 works and 64 citations for Paul Novello, an h-index of 4, ranking #4,265,404 of 7,710,434 researchers worldwide on the quality 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.
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