Tim De Ryck
Tim De Ryck publishes mostly in Artificial Intelligence, Statistical and Nonlinear Physics and Computational Mechanics, on topics such as Model Reduction and Neural Networks, Neural Networks and Applications and Fluid Dynamics and Turbulent Flows.
- World rank
- #2,283,112 of 7,710,434 ranked researchers
- Rank in Switzerland
- #35,564 of 80,918
- Works
- 19
- Citations
- 500
- Citations per work
- 26.3
What does Tim De Ryck research?
Tim De Ryck's work is mostly in Computer Science (34%), Physics and Astronomy (26%), Engineering (25%).
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 Sciences1685.0%
- Computer Science634.0%
- Physics and Astronomy526.4%
- Engineering524.6%
- Everything else211.2%
- Social Sciences13.8%
- Decision Sciences13.8%
- 1Artificial Intelligence28% of their works
- 2Statistical and Nonlinear Physics26% of their works
- 3Computational Mechanics19% of their works
- 4Aerospace Engineering6% of their works
- 5Computational Theory and Mathematics6% of their works
- 6Statistics, Probability and Uncertainty4% of their works
Research topics
- Model Reduction and Neural Networks
- Neural Networks and Applications
- Fluid Dynamics and Turbulent Flows
- Advanced Numerical Methods in Computational Mathematics
- Gaussian Processes and Bayesian Inference
- Nuclear reactor physics and engineering
- Computational Physics and Python Applications
- Machine Learning and ELM
Which keywords describe Tim De Ryck's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Model Reduction, Partial Differential Equations, Neural Networks, Backpropagation Learning, Self-Organizing Maps and Turbulent Flows.
- Python
- Extreme Learning Machine
- Nuclear Reactor
- Gaussian Processes
- Finite Element Methods
- Turbulent Flows
- Backpropagation Learning
- Partial Differential Equations
- Machine Learning
- Deep Learning
- Model Reduction
- Neural Networks
- Self-Organizing Maps
- Vortex Dynamics
- Fluid-Structure Interaction
- Molten Salt
- Variational Inference
- Feedforward Networks
- Scientific Computing
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 Learning223 topics
- Machine Learning193 topics
- Model Reduction141 topic
- Partial Differential Equations141 topic
- Neural Networks72 topics
- Backpropagation Learning51 topic
- Self-Organizing Maps51 topic
- Turbulent Flows51 topic
- Vortex Dynamics51 topic
- Finite Element Methods41 topic
- Fluid-Structure Interaction41 topic
- Gaussian Processes31 topic
- Molten Salt31 topic
- Nuclear Reactor31 topic
- Variational Inference31 topic
- Extreme Learning Machine21 topic
- Feedforward Networks21 topic
- Python21 topic
- Scientific Computing21 topic
Where does Tim De Ryck work?
Tim De Ryck's main affiliation in the publication record is ETH Zurich, Switzerland.
How many publications and citations does Tim De Ryck have?
OpenAlex counts 19 works and 500 citations for Tim De Ryck, an h-index of 8, ranking #2,283,112 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.
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
Ask a question or share a note about Tim De Ryck. Posts are plain text and can be reported.