Alix Lhéritier
Alix Lhéritier publishes mostly in Artificial Intelligence, Statistics and Probability and Marketing, on topics such as Bayesian Methods and Mixture Models, Advanced Statistical Methods and Models and Consumer Market Behavior and Pricing.
- World rank
- #3,801,574 of 7,710,434 ranked researchers
- Rank in Austria
- #23,104 of 43,330
- Works
- 29
- Citations
- 256
- Citations per work
- 8.8
What does Alix Lhéritier research?
Alix Lhéritier's work is mostly in Computer Science (37%), Mathematics (10%), Business, Management and Accounting (7%).
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 Sciences1346.5%
- Computer Science1137.0%
- Mathematics39.5%
- Everything else1241.6%
- Social Sciences27.1%
- Life Sciences14.8%
- 1Artificial Intelligence26% of their works
- 2Statistics and Probability10% of their works
- 3Marketing7% of their works
- 4Computational Theory and Mathematics6% of their works
- 5Molecular Biology5% of their works
- 6Computer Vision and Pattern Recognition5% of their works
Research topics
Which keywords describe Alix Lhéritier's research?
The keywords of their largest research topics: Deep Learning, Clustering, Marketing Strategies, Mixture Models, Multicollinearity, Regression Analysis, Retail Economics and Conjoint Analysis.
- Noisy Labels
- Machine Learning
- Active Learning
- Protein
- Conjoint Analysis
- Regression Analysis
- Mixture Models
- Clustering
- Deep Learning
- Marketing Strategies
- Multicollinearity
- Retail Economics
- Discrete Choice Models
- Structure
- Hyperparameter Optimization
- Neural Networks
- 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.
All 17 words, with their numbers
- Deep Learning62 topics
- Clustering51 topic
- Marketing Strategies51 topic
- Mixture Models51 topic
- Multicollinearity51 topic
- Regression Analysis51 topic
- Retail Economics51 topic
- Conjoint Analysis41 topic
- Discrete Choice Models41 topic
- Protein41 topic
- Structure41 topic
- Active Learning31 topic
- Hyperparameter Optimization31 topic
- Machine Learning31 topic
- Neural Networks31 topic
- Noisy Labels31 topic
- Self-Organizing Maps31 topic
Where does Alix Lhéritier work?
Alix Lhéritier's main affiliation in the publication record is Computer Algorithms for Medicine, Austria.
How many publications and citations does Alix Lhéritier have?
OpenAlex counts 29 works and 256 citations for Alix Lhéritier, an h-index of 7, ranking #3,801,574 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.
Discussion
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