Matteo Borrotti
Matteo Borrotti publishes mostly in Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics, on topics such as Advanced Multi-Objective Optimization Algorithms, Optimal Experimental Design Methods and Metaheuristic Optimization Algorithms Research.
- World rank
- #1,714,923 of 7,710,434 ranked researchers
- Rank in Italy
- #56,189 of 242,206
- Works
- 48
- Citations
- 781
- Citations per work
- 16.3
What does Matteo Borrotti research?
Matteo Borrotti's work is mostly in Computer Science (24%), Decision Sciences (9%), Biochemistry, Genetics and Molecular Biology (6%).
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
- Everything else2551.3%
- Physical Sciences1633.8%
- Computer Science1123.6%
- Engineering35.5%
- Environmental Science24.7%
- Social Sciences59.4%
- Decision Sciences59.4%
- Life Sciences35.5%
- 1Artificial Intelligence16% of their works
- 2Management Science and Operations Research9% of their works
- 3Computational Theory and Mathematics8% of their works
- 4Building and Construction6% of their works
- 5Molecular Biology6% of their works
- 6Ecology5% of their works
Research topics
- Advanced Multi-Objective Optimization Algorithms
- Optimal Experimental Design Methods
- Metaheuristic Optimization Algorithms Research
- Reinforcement Learning in Robotics
- Building Energy and Comfort Optimization
- Probabilistic and Robust Engineering Design
- Evolutionary Algorithms and Applications
- Autonomous Vehicle Technology and Safety
Which keywords describe Matteo Borrotti's research?
The keywords of their largest research topics: Evolutionary Algorithms, Particle Swarm Optimization, Multiobjective Optimization, Deep Learning, Genetic Algorithm, Machine Learning, Surrogate Modeling and Experimental Design.
- Genetic Programming
- Autonomous Vehicles
- Thermal Comfort
- Reinforcement Learning
- Differential Evolution
- Ant Colony Optimization
- Experimental Design
- Machine Learning
- Deep Learning
- Particle Swarm Optimization
- Evolutionary Algorithms
- Multiobjective Optimization
- Genetic Algorithm
- Surrogate Modeling
- Optimization
- Building Energy Consumption
- Neural Networks
- Sensitivity Analysis
- Uncertainty Quantification
- Classification
- Trajectory Prediction
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 21 words, with their numbers
- Evolutionary Algorithms173 topics
- Particle Swarm Optimization132 topics
- Multiobjective Optimization122 topics
- Deep Learning92 topics
- Genetic Algorithm81 topic
- Machine Learning82 topics
- Surrogate Modeling81 topic
- Experimental Design61 topic
- Optimization61 topic
- Ant Colony Optimization51 topic
- Building Energy Consumption51 topic
- Differential Evolution51 topic
- Neural Networks51 topic
- Reinforcement Learning51 topic
- Sensitivity Analysis51 topic
- Thermal Comfort51 topic
- Uncertainty Quantification51 topic
- Autonomous Vehicles41 topic
- Classification41 topic
- Genetic Programming41 topic
- Trajectory Prediction41 topic
Where does Matteo Borrotti work?
Matteo Borrotti's main affiliation in the publication record is University of Milano-Bicocca, Italy.
How many publications and citations does Matteo Borrotti have?
OpenAlex counts 48 works and 781 citations for Matteo Borrotti, an h-index of 13, ranking #1,714,923 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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