George Casella

40.0k citations
322 papers · 29.1k · 9 hit papers · h-index 63

Impact in

    • Markov Chains and Monte Carlo Methods
    • Statistical Methods and Bayesian Inference
    • Statistical Methods and Inference
    • Statistical Distribution Estimation and Applications
  • Nephrology top 1%
    • Gout, Hyperuricemia, Uric Acid

Papers in

    • Markov Chains and Monte Carlo Methods 40
    • Statistical Methods and Bayesian Inference 21
    • Statistical Methods and Inference 15
    • Probability and Statistical Research 14
    • Genetic Mapping and Diversity in Plants and Animals 14

George Casella

311 papers receiving 27.6k citations

George Casella's Hit Papers

Physical, cognitive, and mental health impacts of COVID-19 after hospitalisation (PHOSP-COVID): a UK multicentre, prospective cohort study 2021 · 504 citations
5040+12+24Years since publication10002.0k3.0k

Peers

George Casella
Comparison fields: 5 of 206
  • Statistics and Probability 5.2k
  • Nephrology 800
  • Statistics, Probability and Uncertainty 518
  • Genetics 1.9k
  • Management Science and Operations Research 710
Replace David J. Spiegelhalter with:
David J. Spiegelhalter United Kingdom
Terry M. Therneau United States
Richard A. Olshen United States
Sylvia T. Richardson United Kingdom
John Ashworth Nelder United Kingdom
Paul Meier United States
Thomas A. Louis United States
Peter John Diggle United Kingdom
Ingram Olkin United States
Wing Hung Wong United States
George Casella relative to David J. Spiegelhalter United Kingdom David J. Spiegelhalter's profile →
Citations per field
00.5×2×4×5.1×
David J. Spiegelhalter · 1×
Citations per year

Countries citing papers authored by George Casella

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with George Casella Line = papers co-authored together George Casella links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 322 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Monte Carlo Statistical Methods
Hit paper breakdown →
20043229
2
Theory of Point Estimation
Hit paper breakdown →
19992557
3
The Bayesian Lasso
Hit paper breakdown →
20082043
4
Explaining the Gibbs Sampler
Hit paper breakdown →
19921650
5
Monte Carlo Statistical Methods
Hit paper breakdown →
19991648
6
Pyrosequencing enumerates and contrasts soil microbial diversity
Hit paper breakdown →
20071488
7
Theory of Point Estimation
Hit paper breakdown →
19981322
8 2010670
9 2011669
10 1992613
11
Encyclopedia of Statistical Sciences.
Hit paper breakdown →
1989508
12
Physical, cognitive, and mental health impacts of COVID-19 after hospitalisation (PHOSP-COVID): a UK multicentre, prospective cohort study
Hit paper breakdown →
2021504
13 2006475
14 2011427
15 1996394
16 2009389
17 1985354
18 1996322
19 1991302
20 1987283

About George Casella

George Casella is a scholar working on Statistics and Probability, Genetics, Nephrology, Cardiology and Cardiovascular Medicine and Statistics, Probability and Uncertainty, having authored 322 papers that have together received 29.1k indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (40 papers), Statistical Methods and Bayesian Inference (21 papers), Statistical Methods and Inference (15 papers), Probability and Statistical Research (14 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers), Bayesian Methods and Mixture Models (11 papers), Gout, Hyperuricemia, Uric Acid (8 papers) and Meta-analysis and systematic reviews (5 papers). The work is most often cited by research in Statistics and Probability (5.2k citations), Nephrology (800 citations), Statistics, Probability and Uncertainty (518 citations), Genetics (1.9k citations) and Management Science and Operations Research (710 citations). George Casella has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Christian P. Robert, Erich L. Lehmann, Edward I. George, Eric R. Ziegel, Roger L. Berger, Rongling Wu, Allan D. Struthers, Eric W. Triplett, James P. Hobert and Chang‐Xing Ma. Their work appears in journals such as Journal of the American Statistical Association, Genetics, The American Statistician, The Annals of Statistics and Journal of the American College of Cardiology.

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.

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