V. Susarla
- Statistics and Probability top 0.5%
- Statistical Methods and Inference 39
- Statistical Methods and Bayesian Inference 12
- Statistical Distribution Estimation and Applications 11
- Advanced Statistical Methods and Models 6
- Artificial Intelligence top 5%
- Bayesian Methods and Mixture Models 25
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- Probability and Risk Models 4
- Finance top 10%
- Financial Risk and Volatility Modeling 3
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- Mathematical Approximation and Integration 3
- Co-authors
- John Van RyzinHira L. KoulJ. R. BlumJoseph C. GardinerG.G. WalterEswar G. PhadiaAnton SchίckWei‐Yann Tsai
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American Statistical Association (4 papers)Biometrika (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
V. Susarla
44 papers receiving 826 citations
Peers
Comparison fields: 5 of 69
- Statistics and Probability 851
- Statistics, Probability and Uncertainty 108
- Artificial Intelligence 377
- Management Science and Operations Research 81
- Finance 43
Countries citing papers authored by V. Susarla
This map shows the geographic impact of V. Susarla'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. Susarla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Susarla more than expected).
Fields of papers citing papers by V. Susarla
This network shows the impact of papers produced by V. Susarla. 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. Susarla. The network helps show where V. Susarla may publish in the future.
Co-authorship network
The 13 scholars most cited alongside V. Susarla, 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 | 1990 | 5 | |
| 2 | 1989 | 3 | |
| 3 | 1988 | 8 | |
| 4 | 1988 | 2 | |
| 5 | 1986 | 3 | |
| 6 | 1986 | 15 | |
| 7 | 1984 | 10 | |
| 8 | 1983 | 7 | |
| 9 | 1980 | 53 | |
| 10 | 1980 | 22 | |
| 11 | 1980 | 5 | |
| 12 | 1980 | 2 | |
| 13 | 1979 | 8 | |
| 14 | 1979 | 13 | |
| 15 | 1979 | 3 | |
| 16 | Shrinkage Estimation in Nonparametric Bayesian Survival Analysis | 1979 | 2 |
| 17 | 1978 | 32 | |
| 18 | 1977 | 21 | |
| 19 | 1976 | 8 | |
| 20 | 1975 | 6 |
About V. Susarla
V. Susarla is a scholar working on Statistics and Probability, Artificial Intelligence and Numerical Analysis, having authored 44 papers that have together received 934 indexed citations. Recurring topics across this work include Statistical Methods and Inference (39 papers), Bayesian Methods and Mixture Models (25 papers), Statistical Methods and Bayesian Inference (12 papers), Statistical Distribution Estimation and Applications (11 papers), Advanced Statistical Methods and Models (6 papers), Probability and Risk Models (4 papers), Mathematical Approximation and Integration (3 papers) and Financial Risk and Volatility Modeling (3 papers). The work is most often cited by research in Statistics and Probability (851 citations), Statistics, Probability and Uncertainty (108 citations) and Artificial Intelligence (377 citations). V. Susarla has collaborated with scholars based in United States and Canada. Frequent co-authors include John Van Ryzin, Hira L. Koul, J. R. Blum, Joseph C. Gardiner, G.G. Walter, Eswar G. Phadia, Anton Schίck, Wei‐Yann Tsai, J. K. Ghorai and Richard A. Johnson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Biometrika.
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.