DB Rubin
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Advanced Causal Inference Techniques
- Advanced Statistical Methods and Models
- Statistical Methods in Clinical Trials
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- Optimal Experimental Design Methods
Papers in
-
- Advanced Causal Inference Techniques 4
- Statistical Methods and Bayesian Inference 4
- Statistical Methods and Inference 3
- Statistical Methods in Clinical Trials 1
- Advanced Statistical Methods and Models 1
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- Advanced Statistical Process Monitoring 1
- Co-authors
- A. P. Dempster (1 shared paper)Robert K. Tsutakawa (1 shared paper)John B. Carlin (1 shared paper)Peter Rosenbaum (1 shared paper)Roee Gutman (2 shared papers)Laird Nm (1 shared paper)RJ Glynn (1 shared paper)Yves R. Chretien (1 shared paper)
- Journals
- Biometrika (1 paper)Journal of the American Statistical Association (1 paper)Statistical Methods in Medical Research (1 paper)Statistics in Medicine (1 paper)PubMed (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
DB Rubin
8 papers receiving 528 citations
Peers
Comparison fields: 5 of 130
- Statistics and Probability 310
- Management Science and Operations Research 71
- Economics and Econometrics 86
- Statistics, Probability and Uncertainty 21
- Health 18
Countries citing papers authored by DB Rubin
This map shows the geographic impact of DB Rubin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by DB Rubin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites DB Rubin more than expected).
Fields of papers citing papers by DB Rubin
This network shows the impact of papers produced by DB Rubin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by DB Rubin. The network helps show where DB Rubin may publish in the future.
Co-authors
The 22 scholars most cited alongside DB Rubin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1981 | 324 | |
| 2 | 2006 | 96 | |
| 3 | 1995 | 86 | |
| 4 | 2022 | 28 | |
| 5 | Selection modelling versus mixture modelling with nonignorable nonresponse | 1986 | 28 |
| 6 | 2009 | 16 | |
| 7 | 2015 | 14 | |
| 8 | Multiple-bias modelling for analysis of observational data - Discussion | 2005 | 6 |
About DB Rubin
DB Rubin is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Economics and Econometrics, Artificial Intelligence and Insect Science, having authored 8 papers that have together received 598 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (4 papers), Statistical Methods and Bayesian Inference (4 papers), Statistical Methods and Inference (3 papers), Statistical Methods in Clinical Trials (1 paper), Advanced Statistical Process Monitoring (1 paper), Advanced Statistical Methods and Models (1 paper), Sports Analytics and Performance (1 paper) and Data Analysis with R (1 paper). The work is most often cited by research in Statistics and Probability (310 citations), Management Science and Operations Research (71 citations), Economics and Econometrics (86 citations), Statistics, Probability and Uncertainty (21 citations) and Health (18 citations). DB Rubin has collaborated with scholars based in United States and France. Frequent co-authors include A. P. Dempster, Robert K. Tsutakawa, John B. Carlin, Peter Rosenbaum, Roee Gutman, Laird Nm, RJ Glynn, Yves R. Chretien, Lawrence C. McCandless and Ben Armstrong. Their work appears in journals such as Biometrika, Journal of the American Statistical Association, Statistical Methods in Medical Research, Statistics in Medicine and PubMed.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.