Pranab K. Sen
- Statistics and Probability top 0.5%
- Statistical Methods and Inference 13
- Advanced Statistical Methods and Models 6
- Statistical Methods and Bayesian Inference 5
- Statistical Distribution Estimation and Applications 4
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- Advanced Statistical Process Monitoring 4
- Virology top 5%
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- Probability and Risk Models 4
- Infectious Diseases top 10%
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- Financial Risk and Volatility Modeling 6
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- Bayesian Methods and Mixture Models 5
- Co-authors
- Eric R. ZiegelB. K. GhoshMalay GhoshNitis MukhopadhyaySusan A. MurphyRonald W. HelmsMyron S. CohenHrishikesh Chakraborty
- Journals
- Journal of the American Statistical Association (6 papers)Probability Theory and Related Fields (3 papers)Journal of Statistical Planning and Inference (3 papers)
- Partner nations
- United StatesDenmarkCanada
In The Last Decade
Pranab K. Sen
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 119
- Statistics and Probability 674
- Statistics, Probability and Uncertainty 269
- Virology 122
- Management Science and Operations Research 218
- Infectious Diseases 170
Countries citing papers authored by Pranab K. Sen
This map shows the geographic impact of Pranab K. Sen'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 Pranab K. Sen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pranab K. Sen more than expected).
Fields of papers citing papers by Pranab K. Sen
This network shows the impact of papers produced by Pranab K. Sen. 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 Pranab K. Sen. The network helps show where Pranab K. Sen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pranab K. Sen, 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 | 2013 | 1 | |
| 2 | 2012 | 21 | |
| 3 | 2004 | 1 | |
| 4 | 2003 | 32 | |
| 5 | 2001 | 13 | |
| 6 | 2001 | 221 | |
| 7 | 1997 | 205 | |
| 8 | 1997 | 4 | |
| 9 | 1994 | 259 | |
| 10 | 1994 | 78 | |
| 11 | 1994 | 1 | |
| 12 | Some recent developments in Pitman closeness and its applications | 1991 | 1 |
| 13 | 1991 | 96 | |
| 14 | 1989 | 5 | |
| 15 | 1989 | 22 | |
| 16 | 1984 | 22 | |
| 17 | 1984 | 1 | |
| 18 | 1984 | 19 | |
| 19 | 1979 | 6 | |
| 20 | 1978 | 6 |
About Pranab K. Sen
Pranab K. Sen is a scholar working on Statistics and Probability, Management Science and Operations Research and Finance, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (13 papers), Advanced Statistical Methods and Models (6 papers), Financial Risk and Volatility Modeling (6 papers), Statistical Methods and Bayesian Inference (5 papers), Bayesian Methods and Mixture Models (5 papers), Advanced Statistical Process Monitoring (4 papers), Probability and Risk Models (4 papers) and Statistical Distribution Estimation and Applications (4 papers). The work is most often cited by research in Statistics and Probability (674 citations), Statistics, Probability and Uncertainty (269 citations) and Virology (122 citations). Pranab K. Sen has collaborated with scholars based in United States, Denmark and Canada. Frequent co-authors include Eric R. Ziegel, B. K. Ghosh, Malay Ghosh, Nitis Mukhopadhyay, Susan A. Murphy, Ronald W. Helms, Myron S. Cohen, Hrishikesh Chakraborty, Joseph J. Eron and Jana Jurečková. Their work appears in journals such as Journal of the American Statistical Association, Probability Theory and Related Fields, Journal of Statistical Planning and Inference, The Annals of Statistics 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.