Cyrus R. Mehta
Cyrus R. Mehta publishes mostly in Statistics and Probability, Management Science and Operations Research and Endocrinology, Diabetes and Metabolism, on topics such as Statistical Methods in Clinical Trials, Statistical Methods and Bayesian Inference and Optimal Experimental Design Methods.
- World rank
- #256,722 of 7,710,434 ranked researchers
- Rank in United States
- #94,260 of 1,627,098
- Works
- 194
- Citations
- 13k
- Citations per work
- 68.7
What does Cyrus R. Mehta research?
Cyrus R. Mehta's work is mostly in Mathematics (36%), Medicine (12%), Decision Sciences (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 Sciences8141.5%
- Mathematics7036.0%
- Computer Science115.5%
- Everything else6834.9%
- Health Sciences2412.3%
- Medicine2412.3%
- Social Sciences2211.3%
- 1Statistics and Probability36% of their works
- 2Management Science and Operations Research6% of their works
- 3Endocrinology, Diabetes and Metabolism6% of their works
- 4Cardiology and Cardiovascular Medicine6% of their works
- 5Artificial Intelligence6% of their works
- 6Economics and Econometrics5% of their works
Research topics
- Statistical Methods in Clinical Trials
- Statistical Methods and Bayesian Inference
- Optimal Experimental Design Methods
- Statistical Methods and Inference
- Diabetes Treatment and Management
- Health Systems, Economic Evaluations, Quality of Life
- Advanced Statistical Methods and Models
- Advanced Causal Inference Techniques
Which keywords describe Cyrus R. Mehta's research?
The keywords of their largest research topics: Bayesian Methods, Adaptive Designs, False Discovery Rate, Bayesian Modeling, Multiple Imputation, Experimental Design, Optimization and Regularization.
- Propensity Score
- Causal Inference
- Cost-effectiveness Analysis
- Cardiovascular Outcomes
- Regularization
- Experimental Design
- Bayesian Modeling
- Adaptive Designs
- Bayesian Methods
- False Discovery Rate
- Multiple Imputation
- Optimization
- Variable Selection
- Type 2 Diabetes
- Quality of Life
- Multicollinearity
- Regression Analysis
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 17 words, with their numbers
- Bayesian Methods1102 topics
- Adaptive Designs821 topic
- False Discovery Rate821 topic
- Bayesian Modeling351 topic
- Multiple Imputation351 topic
- Experimental Design301 topic
- Optimization301 topic
- Regularization281 topic
- Variable Selection281 topic
- Cardiovascular Outcomes241 topic
- Type 2 Diabetes241 topic
- Cost-effectiveness Analysis201 topic
- Quality of Life201 topic
- Causal Inference191 topic
- Multicollinearity191 topic
- Propensity Score191 topic
- Regression Analysis191 topic
Where does Cyrus R. Mehta work?
Cyrus R. Mehta's main affiliation in the publication record is Cytel (United States), United States.
How many publications and citations does Cyrus R. Mehta have?
OpenAlex counts 194 works and 13,322 citations for Cyrus R. Mehta, an h-index of 49, ranking #256,722 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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