George Casella
- Statistics and Probability top 0.01%
- Statistical Methods and Bayesian Inference 58
- Statistical Methods and Inference 49
- Advanced Statistical Methods and Models 41
- Statistics, Probability and Uncertainty top 0.05%
- Advanced Statistical Process Monitoring 20
- Artificial Intelligence top 0.1%
- Bayesian Methods and Mixture Models 37
- Nephrology top 0.5%
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- Genetic Mapping and Diversity in Plants and Animals 31
- Genetic and phenotypic traits in livestock 27
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- Cardiovascular Function and Risk Factors 20
- Co-authors
- Christian P. RobertEdward I. GeorgeEric R. ZiegelRoger L. BergerRongling WuJames P. HobertAllan D. StruthersEric W. Triplett
- Journals
- Journal of the American Statistical Association (37 papers)The American Statistician (12 papers)Genetics (11 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
George Casella
306 papers receiving 24.5k citations
Hit Papers
Peers
Comparison fields: 5 of 236
- Statistics and Probability 6.9k
- Statistics, Probability and Uncertainty 2.1k
- Artificial Intelligence 4.7k
- Management Science and Operations Research 1.8k
- Nephrology 863
Countries citing papers authored by George Casella
This map shows the geographic impact of George Casella'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 George Casella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Casella more than expected).
Fields of papers citing papers by George Casella
This network shows the impact of papers produced by George Casella. 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 George Casella. The network helps show where George Casella may publish in the future.
Co-authorship network
The 25 scholars most cited alongside George Casella, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 0 | |
| 6 | 2022 | 19 | |
| 7 | 2021 | 53 | |
| 8 | 2021 | 47 | |
| 9 | 2021 | 2 | |
| 10 | 2014 | 9 | |
| 11 | bayesclust: An R Package for Testing and Searching for Significant Clusters | 2012 | 1 |
| 12 | 2011 | 46 | |
| 13 | 2009 | 192 | |
| 14 | Pyrosequencing enumerates and contrasts soil microbial diversitybreakdown → | 2007 | 1337 |
| 15 | Theory of Point Estimationbreakdown → | 1998 | 1223 |
| 16 | 1998 | 38 | |
| 17 | Explaining the Gibbs Samplerbreakdown → | 1992 | 1605 |
| 18 | 1991 | 19 | |
| 19 | 1987 | 251 | |
| 20 | 1985 | 20 |
About George Casella
George Casella is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Nephrology, Cardiology and Cardiovascular Medicine and Equine, having authored 329 papers that have together received 25.8k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (58 papers), Statistical Methods and Inference (49 papers), Advanced Statistical Methods and Models (41 papers), Bayesian Methods and Mixture Models (37 papers), Genetic Mapping and Diversity in Plants and Animals (31 papers), Genetic and phenotypic traits in livestock (27 papers), Advanced Statistical Process Monitoring (20 papers) and Cardiovascular Function and Risk Factors (20 papers). The work is most often cited by research in Statistics and Probability (6.9k citations), Statistics, Probability and Uncertainty (2.1k citations), Artificial Intelligence (4.7k citations), Management Science and Operations Research (1.8k citations) and Nephrology (863 citations). George Casella has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Christian P. Robert, Edward I. George, Eric R. Ziegel, Roger L. Berger, Rongling Wu, James P. Hobert, Allan D. Struthers, Eric W. Triplett, Chang‐Xing Ma and Luiz Fernando Würdig Roesch. Their work appears in journals such as Journal of the American Statistical Association, The American Statistician, Genetics, The Annals of Statistics and PLoS ONE.
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.