Donald B. Rubin
Donald B. Rubin publishes mostly in Statistics and Probability, Artificial Intelligence and Economics and Econometrics, on topics such as Statistical Methods and Bayesian Inference, Advanced Causal Inference Techniques and Statistical Methods and Inference.
- World rank
- #10,921 of 7,710,434 ranked researchers
- Rank in United States
- #3,771 of 1,627,098
- Works
- 655
- Citations
- 301k
- Citations per work
- 460.3
What does Donald B. Rubin research?
Donald B. Rubin's work is mostly in Mathematics (53%), Computer Science (8%), Decision Sciences (8%).
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 Sciences40161.2%
- Mathematics34953.3%
- Computer Science527.9%
- Everything else15123.0%
- Social Sciences10315.8%
- Decision Sciences507.6%
- Economics, Econometrics and Finance375.6%
- Social Sciences172.6%
- 1Statistics and Probability53% of their works
- 2Artificial Intelligence8% of their works
- 3Economics and Econometrics6% of their works
- 4Management Science and Operations Research5% of their works
- 5Statistics, Probability and Uncertainty3% of their works
- 6Sociology and Political Science3% of their works
Research topics
- Statistical Methods and Bayesian Inference
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
- Statistical Methods in Clinical Trials
- Advanced Statistical Methods and Models
- Bayesian Methods and Mixture Models
- Health Systems, Economic Evaluations, Quality of Life
- Bayesian Modeling and Causal Inference
Which keywords describe Donald B. Rubin's research?
The keywords of their largest research topics: Bayesian Methods, Causal Inference, Bayesian Modeling, Multiple Imputation, Observational Studies, Propensity Score, Regularization and Variable Selection.
- Graphical Models
- Quality of Life
- Mixture Models
- Regression Analysis
- False Discovery Rate
- Variable Selection
- Propensity Score
- Multiple Imputation
- Causal Inference
- Bayesian Methods
- Bayesian Modeling
- Observational Studies
- Regularization
- Adaptive Designs
- Multicollinearity
- Clustering
- Cost-effectiveness Analysis
- Bayesian Networks
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 18 words, with their numbers
- Bayesian Methods2672 topics
- Causal Inference2312 topics
- Bayesian Modeling2241 topic
- Multiple Imputation2241 topic
- Observational Studies2021 topic
- Propensity Score2021 topic
- Regularization1681 topic
- Variable Selection1681 topic
- Adaptive Designs991 topic
- False Discovery Rate991 topic
- Multicollinearity741 topic
- Regression Analysis741 topic
- Clustering451 topic
- Mixture Models451 topic
- Cost-effectiveness Analysis331 topic
- Quality of Life331 topic
- Bayesian Networks291 topic
- Graphical Models291 topic
Where does Donald B. Rubin work?
Donald B. Rubin's main affiliation in the publication record is Harvard University Press, United States.
How many publications and citations does Donald B. Rubin have?
OpenAlex counts 655 works and 301,486 citations for Donald B. Rubin, an h-index of 138, ranking #10,921 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.
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