Amy Racine-Poon
- Statistics and Probability top 0.5%
- Hematology top 2%
- Artificial Intelligence top 5%
- Genetics top 5%
- Economics and Econometrics top 5%
- Co-authors
- A. F. M. SmithAlan E. GelfandSusan E. HillsJ. C. WakefieldRenaud CapdevilleBin PengMoshe TalpazJ. Ford
- Topics
- Statistical Methods and Bayesian Inference (7 papers)Statistical Methods in Clinical Trials (6 papers)Bayesian Methods and Mixture Models (4 papers)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Amy Racine-Poon
23 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Statistics and Probability 800
- Hematology 385
- Artificial Intelligence 292
- Genetics 283
- Economics and Econometrics 203
Countries citing papers authored by Amy Racine-Poon
This map shows the geographic impact of Amy Racine-Poon'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 Amy Racine-Poon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy Racine-Poon more than expected).
Fields of papers citing papers by Amy Racine-Poon
This network shows the impact of papers produced by Amy Racine-Poon. 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 Amy Racine-Poon. The network helps show where Amy Racine-Poon may publish in the future.
Co-authorship network of co-authors of Amy Racine-Poon
This figure shows the co-authorship network connecting the top 25 collaborators of Amy Racine-Poon. A scholar is included among the top collaborators of Amy Racine-Poon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amy Racine-Poon. Amy Racine-Poon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 12 | |
| 4 | 3 | |
| 5 | 105 | |
| 6 | 371 | |
| 7 | 34 | |
| 8 | 40 | |
| 9 | 28 | |
| 10 | 227 | |
| 11 | 1 | |
| 12 | 19 | |
| 13 | Illustration of Bayesian Inference in Normal Data Models Using Gibbs Samplingbreakdown → | 652 |
| 14 | 2 | |
| 15 | 17 | |
| 16 | 6 | |
| 17 | A two-stage procedure for bioequivalence studies. | 25 |
| 18 | 91 | |
| 19 | 13 | |
| 20 | 34 |
About Amy Racine-Poon
Amy Racine-Poon is a scholar working on Statistics and Probability, Management Science and Operations Research and Analytical Chemistry, having authored 24 papers that have together received 1.8k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (7 papers), Statistical Methods in Clinical Trials (6 papers) and Bayesian Methods and Mixture Models (4 papers). The work is most often cited by research in Statistics and Probability (800 citations), Hematology (385 citations) and Genetics (283 citations). Amy Racine-Poon has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include A. F. M. Smith, Alan E. Gelfand, Susan E. Hills, J. C. Wakefield, Renaud Capdeville, Bin Peng, Moshe Talpaz, J. Ford, Charles L. Sawyers and Peter Lloyd. Their work appears in journals such as Journal of Clinical Oncology, Journal of the American Statistical Association and Biometrics.
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.