Nicolas Gayton
Nicolas Gayton publishes mostly in Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, on topics such as Probabilistic and Robust Engineering Design, Manufacturing Process and Optimization and Advanced Multi-Objective Optimization Algorithms.
- World rank
- #639,181 of 1,633,909 ranked researchers
- Rank in France
- #39,314 of 96,116
- Works
- 28
- Citations
- 81
- Citations per work
- 2.9
What does Nicolas Gayton research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Statistics, Probability and Uncertainty24% of their works
- 2Computational Theory and Mathematics15% of their works
- 3Industrial and Manufacturing Engineering15% of their works
- 4Management Science and Operations Research9% of their works
- 5Mechanical Engineering6% of their works
- 6Artificial Intelligence6% of their works
Research topics
- Probabilistic and Robust Engineering Design
- Manufacturing Process and Optimization
- Advanced Multi-Objective Optimization Algorithms
- Optimal Experimental Design Methods
- Product Development and Customization
- Bayesian Modeling and Causal Inference
- Gaussian Processes and Bayesian Inference
- Numerical Methods and Algorithms
Which keywords describe Nicolas Gayton's research?
The keywords of their largest research topics: Sensitivity Analysis, Uncertainty Quantification, Assembly Planning, Design for Manufacture, Evolutionary Algorithms, Multiobjective Optimization, Experimental Design and Optimization.
- Machine Learning
- Gaussian Processes
- Causal Inference
- Product Modularity
- Optimization
- Multiobjective Optimization
- Design for Manufacture
- Uncertainty Quantification
- Sensitivity Analysis
- Assembly Planning
- Evolutionary Algorithms
- Experimental Design
- Mass Customization
- Bayesian Networks
- Floating-Point Arithmetic
- Interval 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 16 words, with their numbers
- Sensitivity Analysis71 topic
- Uncertainty Quantification71 topic
- Assembly Planning51 topic
- Design for Manufacture51 topic
- Evolutionary Algorithms41 topic
- Multiobjective Optimization41 topic
- Experimental Design31 topic
- Optimization31 topic
- Mass Customization21 topic
- Product Modularity21 topic
- Bayesian Networks11 topic
- Causal Inference11 topic
- Floating-Point Arithmetic11 topic
- Gaussian Processes11 topic
- Interval Analysis11 topic
- Machine Learning11 topic
Where does Nicolas Gayton work?
Nicolas Gayton's main affiliation in the publication record is Institut Pascal, France.
How many publications and citations does Nicolas Gayton have?
Science Explorer counts 28 works and 81 citations for Nicolas Gayton, ranking #639,181 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.