Anindya Roy
- Statistics and Probability top 1%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Management Science and Operations Research top 5%
- Economics and Econometrics top 10%
- Co-authors
- Subhashis GhosalTülay AdalıM. NoveySudipto BanerjeeWayne A. FullerRobert D. GibbonsSubhash AryalDulal K. Bhaumik
- Topics
- Statistical Methods and Inference (14 papers)Statistical Methods in Clinical Trials (13 papers)Statistical Methods and Bayesian Inference (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationPLoS ONE
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Anindya Roy
65 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 149
- Statistics and Probability 324
- Artificial Intelligence 219
- Signal Processing 119
- Management Science and Operations Research 96
- Economics and Econometrics 96
Countries citing papers authored by Anindya Roy
This map shows the geographic impact of Anindya 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 Anindya Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anindya Roy more than expected).
Fields of papers citing papers by Anindya Roy
This network shows the impact of papers produced by Anindya 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 Anindya Roy. The network helps show where Anindya Roy may publish in the future.
Co-authorship network of co-authors of Anindya Roy
This figure shows the co-authorship network connecting the top 25 collaborators of Anindya Roy. A scholar is included among the top collaborators of Anindya Roy 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 Anindya Roy. Anindya Roy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 43 | |
| 11 | 9 | |
| 12 | 6 | |
| 13 | Posterior consistency of Gaussian process prior for nonparametric binary regression | 66 |
| 14 | 7 | |
| 15 | 15 | |
| 16 | 39 | |
| 17 | 66 | |
| 18 | Efficiency Tradeoffs in Estimating the Linear Trend Plus Noise Model | 3 |
| 19 | Efficiency Tradeoffs in Estimating the Trend and Error Structure of the Linear Model | 1 |
| 20 | 40 |
About Anindya Roy
Anindya Roy is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 73 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (14 papers), Statistical Methods in Clinical Trials (13 papers) and Statistical Methods and Bayesian Inference (11 papers). The work is most often cited by research in Statistics and Probability (324 citations), Statistics, Probability and Uncertainty (83 citations) and Signal Processing (119 citations). Anindya Roy has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Subhashis Ghosal, Tülay Adalı, M. Novey, Sudipto Banerjee, Wayne A. Fuller, Robert D. Gibbons, Subhash Aryal, Dulal K. Bhaumik, Thomas Mathew and Jiezhun Gu. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.
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.