Pali Sen
Impact in
- Statistics and Probability top 2%
- Statistical Distribution Estimation and Applications
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
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- Probabilistic and Robust Engineering Design
Papers in
-
- Approximation Theory and Sequence Spaces 2
- Advanced Statistical Methods and Models 1
- Statistical Distribution Estimation and Applications 1
- Co-authors
- N. Balakrishnan (1 shared paper)Arthur Cohen (1 shared paper)A. A. Balkema (1 shared paper)R. C. Srivastava (1 shared paper)Β. E. Rhoades (2 shared papers)Haikady N. Nagaraja (1 shared paper)Donna L. Mohr (2 shared papers)Denis Bell (2 shared papers)
- Journals
- Journal of Theoretical Biology (3 papers)Technometrics (2 papers)Statistical Papers (1 paper)Journal of the American Statistical Association (1 paper)Biometrical Journal (1 paper)
- Partner nations
- United States
In The Last Decade
Pali Sen
12 papers receiving 313 citations
Peers
Comparison fields: 5 of 61
- Statistics and Probability 224
- Statistics, Probability and Uncertainty 147
- Safety, Risk, Reliability and Quality 30
- Management Science and Operations Research 41
- Finance 29
Countries citing papers authored by Pali Sen
This map shows the geographic impact of Pali 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 Pali Sen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pali Sen more than expected).
Fields of papers citing papers by Pali Sen
This network shows the impact of papers produced by Pali 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 Pali Sen. The network helps show where Pali Sen may publish in the future.
Co-authors
The 10 scholars most cited alongside Pali 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 | 1992 | 274 | |
| 2 | 1974 | 35 | |
| 3 | 1989 | 12 | |
| 4 | 1974 | 7 | |
| 5 | 2006 | 5 | |
| 6 | 1990 | 3 | |
| 7 | 2005 | 3 | |
| 8 | 1992 | 3 | |
| 9 | 2005 | 3 | |
| 10 | Tea market annual report and statistics | 2001 | 2 |
| 11 | 2003 | 1 | |
| 12 | 2012 | 1 | |
| 13 | 2002 | 1 | |
| 14 | 1989 | 0 |
About Pali Sen
Pali Sen is a scholar working on Statistics and Probability, Organic Chemistry, Spectroscopy, Modeling and Simulation and Numerical Analysis, having authored 14 papers that have together received 350 indexed citations. Recurring topics across this work include Approximation Theory and Sequence Spaces (2 papers), Analytical Chemistry and Chromatography (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Iterative Methods for Nonlinear Equations (1 paper), Advanced Statistical Methods and Models (1 paper), Statistical Distribution Estimation and Applications (1 paper), Theoretical and Computational Physics (1 paper) and Mathematical Biology Tumor Growth (1 paper). The work is most often cited by research in Statistics and Probability (224 citations), Statistics, Probability and Uncertainty (147 citations), Safety, Risk, Reliability and Quality (30 citations), Management Science and Operations Research (41 citations) and Finance (29 citations). Pali Sen has collaborated with scholars based in United States. Frequent co-authors include N. Balakrishnan, Arthur Cohen, A. A. Balkema, R. C. Srivastava, Β. E. Rhoades, Haikady N. Nagaraja, Donna L. Mohr, Denis Bell, Richard F. Patterson and Judith C. Rodriguez. Their work appears in journals such as Journal of Theoretical Biology, Technometrics, Statistical Papers, Journal of the American Statistical Association and Biometrical Journal.
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.