Prabir Burman
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Ecological Modeling top 10%
Papers in
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- Advanced Statistical Methods and Models 9
- Statistical Methods and Inference 7
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- Bayesian Methods and Mixture Models 4
- Co-authors
- Edmond Chow (2 shared papers)Deborah Nolan (2 shared papers)Melissa M. Grigione (3 shared papers)Wolfgang Polonik (1 shared paper)B. H. Braswell (1 shared paper)K. E. Savage (1 shared paper)Steven C. Wofsy (1 shared paper)Lawrence B. Flanagan (1 shared paper)
- Journals
- Journal of Multivariate Analysis (5 papers)Biometrika (5 papers)The Annals of Statistics (2 papers)Urban Ecosystems (2 papers)Journal of Stroke and Cerebrovascular Diseases (2 papers)
- Partner nations
- United StatesIndiaNew Zealand
In The Last Decade
Prabir Burman
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 170
- Statistics and Probability 225
- Ecological Modeling 30
- Artificial Intelligence 217
- Global and Planetary Change 139
- Management Science and Operations Research 70
Countries citing papers authored by Prabir Burman
This map shows the geographic impact of Prabir Burman'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 Prabir Burman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prabir Burman more than expected).
Fields of papers citing papers by Prabir Burman
This network shows the impact of papers produced by Prabir Burman. 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 Prabir Burman. The network helps show where Prabir Burman may publish in the future.
Co-authors
The 25 scholars most cited alongside Prabir Burman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 468 | |
| 2 | 1994 | 131 | |
| 3 | 2006 | 111 | |
| 4 | 2017 | 75 | |
| 5 | 1999 | 38 | |
| 6 | 2013 | 35 | |
| 7 | 1989 | 32 | |
| 8 | 1985 | 27 | |
| 9 | 2012 | 26 | |
| 10 | 2006 | 25 | |
| 11 | 2008 | 22 | |
| 12 | 1991 | 20 | |
| 13 | 1989 | 20 | |
| 14 | 2011 | 19 | |
| 15 | 1990 | 16 | |
| 16 | 2020 | 15 | |
| 17 | 2014 | 12 | |
| 18 | A Validated Risk Model for 30-Day Readmission for Heart Failure. | 2017 | 12 |
| 19 | 2016 | 10 | |
| 20 | 1994 | 10 |
About Prabir Burman
Prabir Burman is a scholar working on Statistics and Probability, Artificial Intelligence, Control and Systems Engineering, Applied Mathematics and Management Science and Operations Research, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (9 papers), Statistical Methods and Inference (7 papers), Control Systems and Identification (5 papers), Bayesian Methods and Mixture Models (4 papers), Wildlife Ecology and Conservation (3 papers), Stock Market Forecasting Methods (3 papers), Fault Detection and Control Systems (3 papers) and Heart Failure Treatment and Management (3 papers). The work is most often cited by research in Statistics and Probability (225 citations), Ecological Modeling (30 citations), Artificial Intelligence (217 citations), Global and Planetary Change (139 citations) and Management Science and Operations Research (70 citations). Prabir Burman has collaborated with scholars based in United States, India and New Zealand. Frequent co-authors include Edmond Chow, Deborah Nolan, Melissa M. Grigione, Wolfgang Polonik, B. H. Braswell, K. E. Savage, Steven C. Wofsy, Lawrence B. Flanagan, Andrew D. Richardson and J. William Munger. Their work appears in journals such as Journal of Multivariate Analysis, Biometrika, The Annals of Statistics, Urban Ecosystems and Journal of Stroke and Cerebrovascular Diseases.
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.