Somesh Das Gupta
- Statistics and Probability top 2%
- Applied Mathematics top 10%
- Artificial Intelligence
- Management Science and Operations Research
- Economics and Econometrics
- Topics
- Advanced Statistical Methods and Models (10 papers)Mathematical Inequalities and Applications (4 papers)Statistical Distribution Estimation and Applications (3 papers)
- Journals
- Journal of the American Statistical AssociationThe Annals of StatisticsProceedings of the American Mathematical Society
- Partner nations
- United StatesIndia
In The Last Decade
Somesh Das Gupta
22 papers receiving 243 citations
Peers
Comparison fields: 5 of 78
- Statistics and Probability 165
- Applied Mathematics 51
- Artificial Intelligence 47
- Management Science and Operations Research 38
- Economics and Econometrics 29
Countries citing papers authored by Somesh Das Gupta
This map shows the geographic impact of Somesh Das Gupta'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 Somesh Das Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Somesh Das Gupta more than expected).
Fields of papers citing papers by Somesh Das Gupta
This network shows the impact of papers produced by Somesh Das Gupta. 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 Somesh Das Gupta. The network helps show where Somesh Das Gupta may publish in the future.
Co-authorship network of co-authors of Somesh Das Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Somesh Das Gupta. A scholar is included among the top collaborators of Somesh Das Gupta 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 Somesh Das Gupta. Somesh Das Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | NEAREST NEIGHBOR RULES FOR STATISTICAL CLASSIFICATION BASED ON RANKS | 0 |
| 2 | 8 | |
| 3 | 2 | |
| 4 | ON TP2 AND LOG-CONCAVITY | 14 |
| 5 | 36 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | Some Problems in Statistical Pattern Recognition. | 3 |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 43 | |
| 13 | 80 | |
| 14 | 5 | |
| 15 | Classifiability and Designs for Sampling | 0 |
| 16 | A bibliography of multivariate statistical analysis | 10 |
| 17 | Nonsingularity of the Sample Covariance Matrix | 4 |
| 18 | 4 | |
| 19 | 1 | |
| 20 | On the optimum properties of some classification rules | 3 |
About Somesh Das Gupta
Somesh Das Gupta is a scholar working on Statistics and Probability, Applied Mathematics and Algebra and Number Theory, having authored 24 papers that have together received 294 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (10 papers), Mathematical Inequalities and Applications (4 papers) and Statistical Distribution Estimation and Applications (3 papers). The work is most often cited by research in Statistics and Probability (165 citations), Applied Mathematics (51 citations) and Statistics, Probability and Uncertainty (28 citations). Somesh Das Gupta has collaborated with scholars based in United States and India. Frequent co-authors include Michael D. Perlman, Steven G. Self, George P. H. Styan, Abhijit Dasgupta and A. J. Kinderman. Their work appears in journals such as Journal of the American Statistical Association, The Annals of Statistics and Proceedings of the American Mathematical Society.
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.