Mickael Rivier
Mickael Rivier publishes mostly in Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Management Science and Operations Research, on topics such as Advanced Multi-Objective Optimization Algorithms, Probabilistic and Robust Engineering Design and Optimal Experimental Design Methods.
- World rank
- #5,067,717 of 7,710,434 ranked researchers
- Rank in France
- #213,928 of 324,115
- Works
- 15
- Citations
- 96
- Citations per work
- 6.4
What does Mickael Rivier research?
Mickael Rivier's work is mostly in Decision Sciences (38%), Computer Science (32%), Engineering (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 Sciences643.2%
- Computer Science532.4%
- Engineering15.4%
- Environmental Science15.4%
- Social Sciences637.8%
- Decision Sciences637.8%
- Everything else319.0%
- 1Statistics, Probability and Uncertainty27% of their works
- 2Computational Theory and Mathematics24% of their works
- 3Management Science and Operations Research11% of their works
- 4Artificial Intelligence8% of their works
- 5Environmental Engineering5% of their works
- 6Industrial and Manufacturing Engineering5% of their works
Research topics
- Advanced Multi-Objective Optimization Algorithms
- Probabilistic and Robust Engineering Design
- Optimal Experimental Design Methods
- Evolutionary Algorithms and Applications
- Manufacturing Process and Optimization
- Metaheuristic Optimization Algorithms Research
- Spacecraft and Cryogenic Technologies
- Spacecraft Design and Technology
Which keywords describe Mickael Rivier's research?
The keywords of their largest research topics: Evolutionary Algorithms, Multiobjective Optimization, Particle Swarm Optimization, Genetic Algorithm, Surrogate Modeling, Sensitivity Analysis, Uncertainty Quantification and Experimental Design.
- Liquefied Natural Gas (LNG)
- CubeSat
- Ant Colony Optimization
- Genetic Programming
- Assembly Planning
- Experimental Design
- Sensitivity Analysis
- Genetic Algorithm
- Multiobjective Optimization
- Evolutionary Algorithms
- Particle Swarm Optimization
- Surrogate Modeling
- Uncertainty Quantification
- Optimization
- Design for Manufacture
- Machine Learning
- Cryogenic Storage
- Differential Evolution
- small satellite
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
- Evolutionary Algorithms123 topics
- Multiobjective Optimization112 topics
- Particle Swarm Optimization102 topics
- Genetic Algorithm91 topic
- Surrogate Modeling91 topic
- Sensitivity Analysis81 topic
- Uncertainty Quantification81 topic
- Experimental Design31 topic
- Optimization31 topic
- Assembly Planning21 topic
- Design for Manufacture21 topic
- Genetic Programming21 topic
- Machine Learning21 topic
- Ant Colony Optimization11 topic
- Cryogenic Storage11 topic
- CubeSat11 topic
- Differential Evolution11 topic
- Liquefied Natural Gas (LNG)11 topic
- small satellite11 topic
Where does Mickael Rivier work?
Mickael Rivier's main affiliation in the publication record is Arianespace (France), France.
How many publications and citations does Mickael Rivier have?
OpenAlex counts 15 works and 96 citations for Mickael Rivier, an h-index of 3, ranking #5,067,717 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.
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