V. Seshadri
- Statistics and Probability top 0.5%
- Statistical Distribution Estimation and Applications 23
- Advanced Statistical Methods and Models 11
- Statistical Methods and Bayesian Inference 6
- Statistical Methods and Inference 4
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- Advanced Statistical Process Monitoring 5
- Finance top 5%
- Stochastic processes and financial applications 5
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- Probability and Risk Models 8
- Artificial Intelligence top 5%
- Bayesian Methods and Mixture Models 17
V. Seshadri
48 papers receiving 910 citations
Peers
Comparison fields: 5 of 101
- Statistics and Probability 641
- Statistics, Probability and Uncertainty 187
- Finance 130
- Management Science and Operations Research 138
- Artificial Intelligence 286
Countries citing papers authored by V. Seshadri
This map shows the geographic impact of V. Seshadri'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 V. Seshadri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Seshadri more than expected).
Fields of papers citing papers by V. Seshadri
This network shows the impact of papers produced by V. Seshadri. 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 V. Seshadri. The network helps show where V. Seshadri may publish in the future.
Co-authorship network
The 18 scholars most cited alongside V. Seshadri, 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 | 2012 | 1 | |
| 2 | 2005 | 6 | |
| 3 | 2004 | 1 | |
| 4 | Constancy of regressions for beta distributions | 2003 | 6 |
| 5 | 1997 | 2 | |
| 6 | 1996 | 18 | |
| 7 | 1995 | 3 | |
| 8 | 1994 | 75 | |
| 9 | 1992 | 5 | |
| 10 | 1992 | 21 | |
| 11 | On the mixture of the inverse Gaussian distribution with its complementary reciprocal | 1991 | 38 |
| 12 | 1991 | 8 | |
| 13 | 1989 | 3 | |
| 14 | 1983 | 17 | |
| 15 | 1983 | 19 | |
| 16 | 1974 | 9 | |
| 17 | 1973 | 15 | |
| 18 | 1970 | 3 | |
| 19 | 1969 | 3 | |
| 20 | 1963 | 15 |
About V. Seshadri
V. Seshadri is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 50 papers that have together received 982 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (23 papers), Bayesian Methods and Mixture Models (17 papers), Advanced Statistical Methods and Models (11 papers), Probability and Risk Models (8 papers), Statistical Methods and Bayesian Inference (6 papers), Advanced Statistical Process Monitoring (5 papers), Stochastic processes and financial applications (5 papers) and Statistical Methods and Inference (4 papers). The work is most often cited by research in Statistics and Probability (641 citations), Statistics, Probability and Uncertainty (187 citations) and Finance (130 citations). V. Seshadri has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Bent Jørgensen, SRJ, G. P. Patil, Miklós Csörgő, G. À. Whitmore, Célestin C. Kokonendji, Jonathan J. Shuster, Michael A. Stephens, Gérard Letac and P. Blæsild. Their work appears in journals such as Journal of the American Statistical Association, Technometrics 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.