Leo Breiman
Leo Breiman publishes mostly in Artificial Intelligence, Statistics and Probability and Control and Systems Engineering, on topics such as Advanced Statistical Methods and Models, Neural Networks and Applications and Data Mining Algorithms and Applications.
- World rank
- #49,367 of 7,710,434 ranked researchers
- Rank in United States
- #19,051 of 1,627,098
- Works
- 148
- Citations
- 243k
- Citations per work
- 1641.0
What does Leo Breiman research?
Leo Breiman's work is mostly in Computer Science (31%), Mathematics (21%), Engineering (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
- Physical Sciences8557.4%
- Computer Science4631.2%
- Mathematics3020.6%
- Engineering85.6%
- Everything else5738.8%
- Social Sciences63.8%
- Decision Sciences63.8%
- 1Artificial Intelligence23% of their works
- 2Statistics and Probability21% of their works
- 3Control and Systems Engineering6% of their works
- 4Computational Theory and Mathematics4% of their works
- 5Information Systems4% of their works
- 6Management Science and Operations Research4% of their works
Research topics
Which keywords describe Leo Breiman's research?
The keywords of their largest research topics: Multicollinearity, Regression Analysis, Model Selection, Neural Networks, Self-Organizing Maps, Data Mining, Frequent Patterns and Hyperparameter Optimization.
- Bayesian Networks
- Statistics Anxiety
- Data Science
- Regularization
- Hyperparameter Optimization
- Data Mining
- Neural Networks
- Regression Analysis
- Multicollinearity
- Model Selection
- Self-Organizing Maps
- Frequent Patterns
- Noisy Labels
- Variable Selection
- Parameter Estimation
- System Identification
- Causal 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.
All 17 words, with their numbers
- Multicollinearity311 topic
- Regression Analysis311 topic
- Model Selection212 topics
- Neural Networks201 topic
- Self-Organizing Maps201 topic
- Data Mining131 topic
- Frequent Patterns131 topic
- Hyperparameter Optimization121 topic
- Noisy Labels121 topic
- Regularization121 topic
- Variable Selection121 topic
- Data Science91 topic
- Parameter Estimation91 topic
- Statistics Anxiety91 topic
- System Identification91 topic
- Bayesian Networks81 topic
- Causal Inference81 topic
Where does Leo Breiman work?
Leo Breiman's main affiliation in the publication record is University of California, Berkeley, United States.
How many publications and citations does Leo Breiman have?
OpenAlex counts 148 works and 242,875 citations for Leo Breiman, an h-index of 57, ranking #49,367 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
Ask a question or share a note about Leo Breiman. Posts are plain text and can be reported.