Michael G. Forbes
Michael G. Forbes publishes mostly in Control and Systems Engineering, Artificial Intelligence and Statistics, Probability and Uncertainty, on topics such as Advanced Control Systems Optimization, Fault Detection and Control Systems and Control Systems and Identification.
- World rank
- #3,183,280 of 7,710,434 ranked researchers
- Rank in Canada
- #101,791 of 183,316
- Works
- 51
- Citations
- 871
- Citations per work
- 17.1
What does Michael G. Forbes research?
Michael G. Forbes's work is mostly in Engineering (71%), Computer Science (14%), Decision Sciences (5%).
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 Sciences4689.5%
- Engineering3671.3%
- Computer Science714.0%
- Physics and Astronomy24.2%
- Everything else35.6%
- Social Sciences24.9%
- Decision Sciences24.9%
- 1Control and Systems Engineering66% of their works
- 2Artificial Intelligence11% of their works
- 3Statistics, Probability and Uncertainty5% of their works
- 4Electrical and Electronic Engineering5% of their works
- 5Statistical and Nonlinear Physics4% of their works
- 6Computational Theory and Mathematics3% of their works
Research topics
Which keywords describe Michael G. Forbes's research?
The keywords of their largest research topics: Nonlinear Systems, Machine Learning, Model Predictive Control, Optimization, Fault Detection, Process Monitoring, Data-Driven Control and Parameter Estimation.
- Uncertainty Quantification
- Partial Differential Equations
- Repetitive Control
- Polymer Electrolyte Membranes
- Reinforcement Learning
- Deep Learning
- Parameter Estimation
- Process Monitoring
- Optimization
- Machine Learning
- Nonlinear Systems
- Model Predictive Control
- Fault Detection
- Data-Driven Control
- System Identification
- Neural Networks
- Iterative Learning Control
- Proton Exchange Membranes
- Model Reduction
- Sensitivity Analysis
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 20 words, with their numbers
- Nonlinear Systems433 topics
- Machine Learning362 topics
- Model Predictive Control321 topic
- Optimization321 topic
- Fault Detection311 topic
- Process Monitoring311 topic
- Data-Driven Control282 topics
- Parameter Estimation221 topic
- System Identification221 topic
- Deep Learning132 topics
- Neural Networks81 topic
- Reinforcement Learning81 topic
- Iterative Learning Control61 topic
- Polymer Electrolyte Membranes61 topic
- Proton Exchange Membranes61 topic
- Repetitive Control61 topic
- Model Reduction51 topic
- Partial Differential Equations51 topic
- Sensitivity Analysis51 topic
- Uncertainty Quantification51 topic
Where does Michael G. Forbes work?
Michael G. Forbes's main affiliation in the publication record is Honeywell (Canada), Canada.
How many publications and citations does Michael G. Forbes have?
OpenAlex counts 51 works and 871 citations for Michael G. Forbes, an h-index of 12, ranking #3,183,280 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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Discussion
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