Vivekananda Roy
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Markov Chains and Monte Carlo Methods
- Statistical Distribution Estimation and Applications
- Advanced Statistical Methods and Models
- Artificial Intelligence top 10%
- Bayesian Methods and Mixture Models
Papers in
-
- Statistical Methods and Inference 19
- Statistical Methods and Bayesian Inference 15
- Markov Chains and Monte Carlo Methods 15
- Advanced Statistical Methods and Models 2
- Statistical Distribution Estimation and Applications 2
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- Bayesian Methods and Mixture Models 14
- Co-authors
- James P. Hobert (4 shared papers)Xin Wang (4 shared papers)Krishna B. Athreya (5 shared papers)Sounak Chakraborty (1 shared paper)Evangelos Evangelou (3 shared papers)Christian P. Robert (1 shared paper)Dipak K. Dey (1 shared paper)Zhengyuan Zhu (2 shared papers)
- Journals
- Electronic Journal of Statistics (5 papers)Journal of Computational and Graphical Statistics (3 papers)Statistica Sinica (3 papers)Journal of Applied Probability (2 papers)PLANT PHYSIOLOGY (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Vivekananda Roy
29 papers receiving 216 citations
Peers
Comparison fields: 5 of 45
- Statistics and Probability 181
- Artificial Intelligence 111
- Statistics, Probability and Uncertainty 9
- Environmental Engineering 11
- Management Science and Operations Research 9
Countries citing papers authored by Vivekananda Roy
This map shows the geographic impact of Vivekananda Roy'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 Vivekananda Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vivekananda Roy more than expected).
Fields of papers citing papers by Vivekananda Roy
This network shows the impact of papers produced by Vivekananda Roy. 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 Vivekananda Roy. The network helps show where Vivekananda Roy may publish in the future.
Co-authors
The 16 scholars most cited alongside Vivekananda Roy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 53 | |
| 2 | 2011 | 17 | |
| 3 | 2010 | 16 | |
| 4 | 2018 | 13 | |
| 5 | 2012 | 12 | |
| 6 | 2016 | 12 | |
| 7 | 2023 | 11 | |
| 8 | 2013 | 11 | |
| 9 | 2015 | 10 | |
| 10 | 2013 | 9 | |
| 11 | 2014 | 7 | |
| 12 | 2011 | 6 | |
| 13 | 2017 | 6 | |
| 14 | 2018 | 5 | |
| 15 | 2018 | 5 | |
| 16 | 2015 | 5 | |
| 17 | 2016 | 5 | |
| 18 | 2019 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2017 | 2 |
About Vivekananda Roy
Vivekananda Roy is a scholar working on Statistics and Probability, Artificial Intelligence, Molecular Biology, Numerical Analysis and Genetics, having authored 30 papers that have together received 224 indexed citations. Recurring topics across this work include Statistical Methods and Inference (19 papers), Statistical Methods and Bayesian Inference (15 papers), Markov Chains and Monte Carlo Methods (15 papers), Bayesian Methods and Mixture Models (14 papers), Genetic and phenotypic traits in livestock (2 papers), Advanced Statistical Methods and Models (2 papers), Mathematical Approximation and Integration (2 papers) and Statistical Distribution Estimation and Applications (2 papers). The work is most often cited by research in Statistics and Probability (181 citations), Artificial Intelligence (111 citations), Statistics, Probability and Uncertainty (9 citations), Environmental Engineering (11 citations) and Management Science and Operations Research (9 citations). Vivekananda Roy has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include James P. Hobert, Xin Wang, Krishna B. Athreya, Sounak Chakraborty, Evangelos Evangelou, Christian P. Robert, Dipak K. Dey, Zhengyuan Zhu, Somak Dutta and Patrick S. Schnable. Their work appears in journals such as Electronic Journal of Statistics, Journal of Computational and Graphical Statistics, Statistica Sinica, Journal of Applied Probability and PLANT PHYSIOLOGY.
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.