J. Sunil Rao
- Statistics and Probability top 1%
- Statistical Methods and Inference 18
- Statistical Methods and Bayesian Inference 13
- Advanced Statistical Methods and Models 8
- Artificial Intelligence top 5%
- Bayesian Methods and Mixture Models 6
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- Gene expression and cancer classification 15
- Bioinformatics and Genomic Networks 7
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- Genetic and phenotypic traits in livestock 4
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- Bladder and Urothelial Cancer Treatments 4
- Co-authors
- Hemant IshwaranJiming JiangThuan NguyenMary LevinPeggy SullivanAnita P. MerriamChelliah RichmondsPatrick Leahy
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American Statistical Association (6 papers)Journal of the American College of Cardiology (2 papers)
- Partner nations
- United StatesChinaSweden
In The Last Decade
J. Sunil Rao
70 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Statistics and Probability 474
- Computational Mathematics 8
- Artificial Intelligence 335
- Management Science and Operations Research 123
- Molecular Biology 497
Countries citing papers authored by J. Sunil Rao
This map shows the geographic impact of J. Sunil Rao'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 J. Sunil Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Sunil Rao more than expected).
Fields of papers citing papers by J. Sunil Rao
This network shows the impact of papers produced by J. Sunil Rao. 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 J. Sunil Rao. The network helps show where J. Sunil Rao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J. Sunil Rao, 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 | 2023 | 5 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 4 | |
| 5 | 2021 | 25 | |
| 6 | 2020 | 2 | |
| 7 | Epidemiological and Molecular Features of Prostate Cancer in Asian Men Living in Asian Countries: Implications in Screen and Management | 2016 | 1 |
| 8 | Observed best prediction via nested-error regression with potentially misspecified mean and variance | 2015 | 5 |
| 9 | 2014 | 22 | |
| 10 | 2014 | 25 | |
| 11 | Fence method for nonparametric small area estimation | 2010 | 15 |
| 12 | 2008 | 3 | |
| 13 | 2007 | 1 | |
| 14 | 2002 | 1 | |
| 15 | 2002 | 34 | |
| 16 | 2001 | 11 | |
| 17 | Bootstrap choice of cost complexity for better subset selection | 1999 | 8 |
| 18 | 1999 | 14 | |
| 19 | Visualizing bagged decision trees | 1997 | 18 |
| 20 | 1996 | 24 |
About J. Sunil Rao
J. Sunil Rao is a scholar working on Statistics and Probability, Neuropsychology and Physiological Psychology and Applied Microbiology and Biotechnology, having authored 77 papers that have together received 1.9k indexed citations. Recurring topics across this work include Statistical Methods and Inference (18 papers), Gene expression and cancer classification (15 papers), Statistical Methods and Bayesian Inference (13 papers), Advanced Statistical Methods and Models (8 papers), Bioinformatics and Genomic Networks (7 papers), Bayesian Methods and Mixture Models (6 papers), Genetic and phenotypic traits in livestock (4 papers) and Bladder and Urothelial Cancer Treatments (4 papers). The work is most often cited by research in Statistics and Probability (474 citations), Computational Mathematics (8 citations) and Artificial Intelligence (335 citations). J. Sunil Rao has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Hemant Ishwaran, Jiming Jiang, Thuan Nguyen, Mary Levin, Peggy Sullivan, Anita P. Merriam, Chelliah Richmonds, Patrick Leahy, Francisco H. Andrade and Henry J. Kaminski. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association 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.