Rajen D. Shah
- Statistics and Probability top 5%
- Artificial Intelligence
- Pharmaceutical Science top 5%
- Molecular Biology
- Food Science
- Co-authors
- Jonas PetersLarry L. AugsburgerDavid G. PopePeter BühlmannNicolai MeinshausenSergio BacalladoRaman IyerQingyuan Zhao
- Topics
- Statistical Methods and Inference (13 papers)Statistical Methods and Bayesian Inference (8 papers)Advanced Statistical Methods and Models (6 papers)
- Journals
- Journal of the American Statistical AssociationPLoS BiologyInternational Journal of Pharmaceutics
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Rajen D. Shah
24 papers receiving 332 citations
Peers
Comparison fields: 5 of 95
- Statistics and Probability 107
- Artificial Intelligence 87
- Pharmaceutical Science 82
- Molecular Biology 81
- Food Science 27
Countries citing papers authored by Rajen D. Shah
This map shows the geographic impact of Rajen D. Shah'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 Rajen D. Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajen D. Shah more than expected).
Fields of papers citing papers by Rajen D. Shah
This network shows the impact of papers produced by Rajen D. Shah. 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 Rajen D. Shah. The network helps show where Rajen D. Shah may publish in the future.
Co-authorship network of co-authors of Rajen D. Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Rajen D. Shah. A scholar is included among the top collaborators of Rajen D. Shah 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 Rajen D. Shah. Rajen D. Shah 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 | 4 | |
| 4 | 0 | |
| 5 | 26 | |
| 6 | 9 | |
| 7 | 16 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | 89 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 0 | |
| 14 | 13 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | Comparative bioavailability study with two amiodarone tablet formulations in healthy subjects | 1 |
| 18 | 15 | |
| 19 | 64 | |
| 20 | 34 |
About Rajen D. Shah
Rajen D. Shah is a scholar working on Statistics and Probability, Pharmaceutical Science and Statistics, Probability and Uncertainty, having authored 28 papers that have together received 347 indexed citations. Recurring topics across this work include Statistical Methods and Inference (13 papers), Statistical Methods and Bayesian Inference (8 papers) and Advanced Statistical Methods and Models (6 papers). The work is most often cited by research in Pharmaceutical Science (82 citations), Statistics and Probability (107 citations) and Fluid Flow and Transfer Processes (19 citations). Rajen D. Shah has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Jonas Peters, Larry L. Augsburger, David G. Pope, Peter Bühlmann, Nicolai Meinshausen, Sergio Bacallado, Raman Iyer, Qingyuan Zhao, Matthew Freeman and Richard J. Samworth. Their work appears in journals such as Journal of the American Statistical Association, PLoS Biology and International Journal of Pharmaceutics.
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.