Matthias De Lozzo
Matthias De Lozzo publishes mostly in Statistics, Probability and Uncertainty, Global and Planetary Change and Computational Theory and Mathematics, on topics such as Probabilistic and Robust Engineering Design, Advanced Multi-Objective Optimization Algorithms and Flood Risk Assessment and Management.
- World rank
- #4,800,400 of 7,710,434 ranked researchers
- Rank in France
- #202,259 of 324,115
- Works
- 44
- Citations
- 309
- Citations per work
- 7.0
What does Matthias De Lozzo research?
Matthias De Lozzo's work is mostly in Decision Sciences (21%), Environmental Science (13%), Computer Science (12%).
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 Sciences1943.4%
- Environmental Science613.3%
- Computer Science512.4%
- Engineering512.4%
- Physics and Astronomy25.3%
- Everything else1635.4%
- Social Sciences921.2%
- Decision Sciences921.2%
- 1Statistics, Probability and Uncertainty21% of their works
- 2Global and Planetary Change13% of their works
- 3Computational Theory and Mathematics12% of their works
- 4Civil and Structural Engineering7% of their works
- 5Aerospace Engineering5% of their works
- 6Statistical and Nonlinear Physics5% of their works
Research topics
- Probabilistic and Robust Engineering Design
- Advanced Multi-Objective Optimization Algorithms
- Flood Risk Assessment and Management
- Model Reduction and Neural Networks
- Topology Optimization in Engineering
- Hydrology and Drought Analysis
- Hydrology and Watershed Management Studies
- Neural Networks and Applications
Which keywords describe Matthias De Lozzo's research?
The keywords of their largest research topics: Sensitivity Analysis, Polynomial Chaos, Uncertainty Quantification, Climate Change, Evolutionary Algorithms, Multiobjective Optimization, Remote Sensing and Hydrological Modeling.
- Neural Networks
- Model Evaluation
- Monitoring
- Drought
- Model Reduction
- Flood Risk
- Hydrological Modeling
- Multiobjective Optimization
- Climate Change
- Polynomial Chaos
- Sensitivity Analysis
- Uncertainty Quantification
- Evolutionary Algorithms
- Remote Sensing
- Deep Learning
- Surface Water Mapping
- Partial Differential Equations
- Level Set Method
- Structural Boundary Design
- Water Resources
- Self-Organizing Maps
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 21 words, with their numbers
- Sensitivity Analysis262 topics
- Polynomial Chaos211 topic
- Uncertainty Quantification211 topic
- Climate Change163 topics
- Evolutionary Algorithms131 topic
- Multiobjective Optimization131 topic
- Remote Sensing122 topics
- Hydrological Modeling112 topics
- Deep Learning92 topics
- Flood Risk71 topic
- Surface Water Mapping71 topic
- Model Reduction61 topic
- Partial Differential Equations61 topic
- Drought51 topic
- Level Set Method51 topic
- Monitoring51 topic
- Structural Boundary Design51 topic
- Model Evaluation41 topic
- Water Resources41 topic
- Neural Networks31 topic
- Self-Organizing Maps31 topic
Where does Matthias De Lozzo work?
Matthias De Lozzo's main affiliation in the publication record is IRT M2P, France.
How many publications and citations does Matthias De Lozzo have?
OpenAlex counts 44 works and 309 citations for Matthias De Lozzo, an h-index of 8, ranking #4,800,400 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.
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