Nicolas Schreuder
Nicolas Schreuder publishes mostly in Statistics and Probability, Artificial Intelligence and Management Science and Operations Research, on topics such as Statistical Methods and Inference, Advanced Bandit Algorithms Research and Machine Learning and Algorithms.
- World rank
- #5,437,841 of 7,710,434 ranked researchers
- Rank in France
- #230,290 of 324,115
- Works
- 22
- Citations
- 40
- Citations per work
- 1.8
What does Nicolas Schreuder research?
Nicolas Schreuder's work is mostly in Mathematics (27%), Computer Science (22%), Decision Sciences (14%).
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 Sciences1254.3%
- Mathematics627.1%
- Computer Science522.1%
- Physics and Astronomy15.1%
- Everything else627.0%
- Social Sciences418.7%
- Decision Sciences313.6%
- Social Sciences15.1%
- 1Statistics and Probability27% of their works
- 2Artificial Intelligence15% of their works
- 3Management Science and Operations Research14% of their works
- 4Computer Vision and Pattern Recognition7% of their works
- 5Safety Research5% of their works
- 6Statistical and Nonlinear Physics5% of their works
Research topics
Which keywords describe Nicolas Schreuder's research?
The keywords of their largest research topics: Regularization, Variable Selection, Convex Optimization, Machine Learning, Deep Learning, Bandit Optimization, Bayesian Optimization and Active Learning.
- Random Matrix Theory
- Image Synthesis
- Eigenvalues
- Causal Inference
- Fairness
- Active Learning
- Bandit Optimization
- Machine Learning
- Variable Selection
- Regularization
- Convex Optimization
- Deep Learning
- Bayesian Optimization
- Ethics
- Semi-Supervised Learning
- Compressed Sensing
- Generative Adversarial Networks
- Propensity Score
- Sparse Representation
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 19 words, with their numbers
- Regularization81 topic
- Variable Selection81 topic
- Convex Optimization62 topics
- Machine Learning62 topics
- Deep Learning52 topics
- Bandit Optimization41 topic
- Bayesian Optimization41 topic
- Active Learning31 topic
- Ethics31 topic
- Fairness31 topic
- Semi-Supervised Learning31 topic
- Causal Inference21 topic
- Compressed Sensing21 topic
- Eigenvalues21 topic
- Generative Adversarial Networks21 topic
- Image Synthesis21 topic
- Propensity Score21 topic
- Random Matrix Theory21 topic
- Sparse Representation21 topic
Where does Nicolas Schreuder work?
Nicolas Schreuder's main affiliation in the publication record is ENSAE Paris, France.
How many publications and citations does Nicolas Schreuder have?
OpenAlex counts 22 works and 40 citations for Nicolas Schreuder, an h-index of 3, ranking #5,437,841 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.
Discussion
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