Christian Schmidt
Christian Schmidt publishes mostly in Management Science and Operations Research, Statistics, Probability and Uncertainty and Control and Systems Engineering, on topics such as Simulation Techniques and Applications, Advanced Statistical Process Monitoring and Advanced Multi-Objective Optimization Algorithms.
- World rank
- #1,681,870 of 7,710,434 ranked researchers
- Rank in France
- #74,566 of 324,115
- Works
- 19
- Citations
- 820
- Citations per work
- 43.2
What does Christian Schmidt research?
Christian Schmidt's work is mostly in Decision Sciences (31%), Engineering (14%), 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
- Everything else842.9%
- Social Sciences630.6%
- Decision Sciences630.6%
- Physical Sciences526.5%
- Engineering314.3%
- Computer Science212.2%
- 1Management Science and Operations Research18% of their works
- 2Statistics, Probability and Uncertainty12% of their works
- 3Control and Systems Engineering8% of their works
- 4Industrial and Manufacturing Engineering6% of their works
- 5Artificial Intelligence6% of their works
- 6Computational Theory and Mathematics6% of their works
Research topics
- Simulation Techniques and Applications
- Advanced Statistical Process Monitoring
- Advanced Multi-Objective Optimization Algorithms
- Advanced Database Systems and Queries
- Human-Automation Interaction and Safety
- Evolutionary Algorithms and Applications
- Machine Learning and Algorithms
- Gaussian Processes and Bayesian Inference
Which keywords describe Christian Schmidt's research?
The keywords of their largest research topics: Simulation Optimization, Verification and Validation, Healthcare Improvement, Statistical Process Control, Evolutionary Algorithms, Multiobjective Optimization, Continuous Queries and Data Stream Management.
- Sparse Regression
- Genetic Programming
- Active Learning
- Gaussian Processes
- Automation
- Machine Learning
- Data Stream Management
- Multiobjective Optimization
- Statistical Process Control
- Verification and Validation
- Simulation Optimization
- Healthcare Improvement
- Evolutionary Algorithms
- Continuous Queries
- Genetic Algorithm
- Surrogate Modeling
- Deep Learning
- Trust
- Classification
- Semi-Supervised Learning
- Variational Inference
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
- Simulation Optimization81 topic
- Verification and Validation81 topic
- Healthcare Improvement61 topic
- Statistical Process Control61 topic
- Evolutionary Algorithms42 topics
- Multiobjective Optimization42 topics
- Continuous Queries31 topic
- Data Stream Management31 topic
- Genetic Algorithm31 topic
- Machine Learning33 topics
- Surrogate Modeling31 topic
- Automation21 topic
- Deep Learning22 topics
- Gaussian Processes22 topics
- Trust21 topic
- Active Learning11 topic
- Classification11 topic
- Genetic Programming11 topic
- Semi-Supervised Learning11 topic
- Sparse Regression11 topic
- Variational Inference11 topic
Where does Christian Schmidt work?
Christian Schmidt's main affiliation in the publication record is INSEAD, France.
How many publications and citations does Christian Schmidt have?
OpenAlex counts 19 works and 820 citations for Christian Schmidt, an h-index of 9, ranking #1,681,870 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.
Other researchers named Christian Schmidt
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