Beau Norgeot
Beau Norgeot publishes mostly in Artificial Intelligence, Statistics and Probability and Economics and Econometrics, on topics such as Machine Learning in Healthcare, Advanced Causal Inference Techniques and Health Systems, Economic Evaluations, Quality of Life.
- World rank
- #1,149,412 of 7,710,434 ranked researchers
- Rank in United States
- #370,215 of 1,627,098
- Works
- 25
- Citations
- 1.5k
- Citations per work
- 59.5
What does Beau Norgeot research?
Beau Norgeot's work is mostly in Computer Science (23%), Mathematics (20%), Medicine (13%).
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 Sciences1143.5%
- Computer Science623.2%
- Mathematics520.3%
- Everything else830.5%
- Health Sciences518.8%
- Medicine313.0%
- Health Professions15.8%
- Social Sciences27.2%
- 1Artificial Intelligence23% of their works
- 2Statistics and Probability20% of their works
- 3Economics and Econometrics7% of their works
- 4Epidemiology7% of their works
- 5Health Information Management6% of their works
- 6Endocrinology, Diabetes and Metabolism6% of their works
Research topics
- Machine Learning in Healthcare
- Advanced Causal Inference Techniques
- Health Systems, Economic Evaluations, Quality of Life
- Statistical Methods in Clinical Trials
- Artificial Intelligence in Healthcare and Education
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Medical Coding and Health Information
Which keywords describe Beau Norgeot's research?
The keywords of their largest research topics: Healthcare, Precision Medicine, Deep Learning, Electronic Health Records, Causal Inference, Propensity Score, Bayesian Methods and Cost-effectiveness Analysis.
- Regularization
- ICD-10
- Bayesian Modeling
- False Discovery Rate
- Adaptive Designs
- Cost-effectiveness Analysis
- Propensity Score
- Electronic Health Records
- Precision Medicine
- Healthcare
- Deep Learning
- Causal Inference
- Bayesian Methods
- Quality of Life
- Artificial Intelligence
- Machine Learning
- Clinical Coding
- Multiple Imputation
- Variable Selection
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
- Healthcare172 topics
- Precision Medicine172 topics
- Deep Learning141 topic
- Electronic Health Records141 topic
- Causal Inference71 topic
- Propensity Score71 topic
- Bayesian Methods52 topics
- Cost-effectiveness Analysis41 topic
- Quality of Life41 topic
- Adaptive Designs31 topic
- Artificial Intelligence31 topic
- False Discovery Rate31 topic
- Machine Learning31 topic
- Bayesian Modeling21 topic
- Clinical Coding21 topic
- ICD-1021 topic
- Multiple Imputation21 topic
- Regularization21 topic
- Variable Selection21 topic
Where does Beau Norgeot work?
Beau Norgeot's main affiliation in the publication record is Anthem (United States), United States.
How many publications and citations does Beau Norgeot have?
OpenAlex counts 25 works and 1,488 citations for Beau Norgeot, an h-index of 10, ranking #1,149,412 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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