Georges Tod
Georges Tod publishes mostly in Aerospace Engineering, Control and Systems Engineering and Mechanical Engineering, on topics such as Aerospace and Aviation Technology, Model Reduction and Neural Networks and Machine Fault Diagnosis Techniques.
- World rank
- #4,628,341 of 7,710,434 ranked researchers
- Rank in Belgium
- #41,368 of 67,186
- Works
- 21
- Citations
- 62
- Citations per work
- 3.0
What does Georges Tod research?
Georges Tod's work is mostly in Engineering (52%), Physics and Astronomy (9%), Decision Sciences (9%).
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 Sciences1360.7%
- Engineering1151.8%
- Physics and Astronomy28.9%
- Everything else630.4%
- Social Sciences28.9%
- Decision Sciences28.9%
- 1Aerospace Engineering18% of their works
- 2Control and Systems Engineering14% of their works
- 3Mechanical Engineering11% of their works
- 4Statistical and Nonlinear Physics9% of their works
- 5Biomedical Engineering9% of their works
- 6Statistics, Probability and Uncertainty9% of their works
Research topics
- Aerospace and Aviation Technology
- Model Reduction and Neural Networks
- Machine Fault Diagnosis Techniques
- Probabilistic and Robust Engineering Design
- Mechanical Engineering and Vibrations Research
- Gaussian Processes and Bayesian Inference
- Biomimetic flight and propulsion mechanisms
- Aeroelasticity and Vibration Control
Which keywords describe Georges Tod's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Model Reduction, Partial Differential Equations, Unmanned Aerial Vehicles, Wind Estimation, Empirical Mode Decomposition and Fault Diagnosis.
- Variational Inference
- Morphing Aircraft
- Flight Dynamics
- Vehicle Suspension
- Uncertainty Quantification
- Fault Diagnosis
- Wind Estimation
- Partial Differential Equations
- Machine Learning
- Deep Learning
- Model Reduction
- Unmanned Aerial Vehicles
- Empirical Mode Decomposition
- Sensitivity Analysis
- Composite Springs
- Aerodynamics
- Gaussian Processes
- Smart Structures
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 18 words, with their numbers
- Deep Learning113 topics
- Machine Learning113 topics
- Model Reduction51 topic
- Partial Differential Equations51 topic
- Unmanned Aerial Vehicles51 topic
- Wind Estimation51 topic
- Empirical Mode Decomposition41 topic
- Fault Diagnosis41 topic
- Sensitivity Analysis41 topic
- Uncertainty Quantification41 topic
- Composite Springs31 topic
- Vehicle Suspension31 topic
- Aerodynamics21 topic
- Flight Dynamics21 topic
- Gaussian Processes21 topic
- Morphing Aircraft21 topic
- Smart Structures21 topic
- Variational Inference21 topic
Where does Georges Tod work?
Georges Tod's main affiliation in the publication record is Flanders Make (Belgium), Belgium.
How many publications and citations does Georges Tod have?
OpenAlex counts 21 works and 62 citations for Georges Tod, an h-index of 4, ranking #4,628,341 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.
Discussion
Ask a question or share a note about Georges Tod. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.