Vivekananda Roy
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Bayesian Inference
- Statistical Methods and 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
- Markov Chains and Monte Carlo Methods 15
- Statistical Methods and Bayesian Inference 15
- 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)Evangelos Evangelou (3 shared papers)Dipak K. Dey (1 shared paper)Christian P. Robert (1 shared paper)Sounak Chakraborty (1 shared paper)Zhengyuan Zhu (2 shared papers)
- Journals
- Electronic Journal of Statistics (5 papers)Statistica Sinica (3 papers)Journal of Computational and Graphical Statistics (3 papers)Journal of Applied Probability (2 papers)Journal of Statistical Computation and Simulation (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Vivekananda Roy
29 papers receiving 221 citations
Peers
Comparison fields: 5 of 45
- Statistics and Probability 184
- Artificial Intelligence 112
- Statistics, Probability and Uncertainty 9
- Environmental Engineering 12
- 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 | 54 | |
| 2 | 2011 | 17 | |
| 3 | 2010 | 16 | |
| 4 | 2012 | 13 | |
| 5 | 2018 | 13 | |
| 6 | 2016 | 12 | |
| 7 | 2023 | 11 | |
| 8 | 2015 | 11 | |
| 9 | 2013 | 11 | |
| 10 | 2013 | 9 | |
| 11 | 2014 | 7 | |
| 12 | 2011 | 6 | |
| 13 | 2017 | 6 | |
| 14 | 2018 | 5 | |
| 15 | 2016 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2018 | 5 | |
| 18 | 2015 | 5 | |
| 19 | 2019 | 4 | |
| 20 | 2015 | 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 228 indexed citations. Recurring topics across this work include Statistical Methods and Inference (19 papers), Markov Chains and Monte Carlo Methods (15 papers), Statistical Methods and Bayesian Inference (15 papers), Bayesian Methods and Mixture Models (14 papers), Mathematical Approximation and Integration (2 papers), Statistical Distribution Estimation and Applications (2 papers), Gene expression and cancer classification (2 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Statistics and Probability (184 citations), Artificial Intelligence (112 citations), Statistics, Probability and Uncertainty (9 citations), Environmental Engineering (12 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, Evangelos Evangelou, Dipak K. Dey, Christian P. Robert, Sounak Chakraborty, Zhengyuan Zhu, Somak Dutta and Jarad Niemi. Their work appears in journals such as Electronic Journal of Statistics, Statistica Sinica, Journal of Computational and Graphical Statistics, Journal of Applied Probability and Journal of Statistical Computation and Simulation.
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.