Amar Shah
- Artificial Intelligence top 10%
- General Health Professions top 10%
- Computational Theory and Mathematics top 5%
- Statistical and Nonlinear Physics top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Zoubin GhahramaniTomoharu IwataRyan P. AdamsDaniel Hernández-LobatoJosé Miguel Hernández-LobatoAlex KendallMark van der WilkRoberto Cipolla
- Topics
- Primary Care and Health Outcomes (11 papers)Healthcare Quality and Management (7 papers)Patient Satisfaction in Healthcare (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaBMJBJPsych Bulletin
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Amar Shah
36 papers receiving 508 citations
Peers
Comparison fields: 5 of 113
- Artificial Intelligence 143
- General Health Professions 128
- Computational Theory and Mathematics 87
- Statistical and Nonlinear Physics 56
- Management Science and Operations Research 54
Countries citing papers authored by Amar Shah
This map shows the geographic impact of Amar 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 Amar Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amar Shah more than expected).
Fields of papers citing papers by Amar Shah
This network shows the impact of papers produced by Amar 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 Amar Shah. The network helps show where Amar Shah may publish in the future.
Co-authorship network of co-authors of Amar Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Amar Shah. A scholar is included among the top collaborators of Amar 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 Amar Shah. Amar 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 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 14 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 17 | |
| 10 | 8 | |
| 11 | 63 | |
| 12 | 1 | |
| 13 | 21 | |
| 14 | 1 | |
| 15 | Pareto frontier learning with expensive correlated objectives | 14 |
| 16 | 5 | |
| 17 | 2 | |
| 18 | An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process | 3 |
| 19 | {Student-t Processes as Alternatives to Gaussian Processes} | 19 |
| 20 | Determinantal clustering process - a nonparametric Bayesian approach to kernel based semi-supervised clustering | 10 |
About Amar Shah
Amar Shah is a scholar working on Health Information Management, Research and Theory and General Health Professions, having authored 40 papers that have together received 528 indexed citations. Recurring topics across this work include Primary Care and Health Outcomes (11 papers), Healthcare Quality and Management (7 papers) and Patient Satisfaction in Healthcare (5 papers). The work is most often cited by research in Health Information Management (43 citations), Research and Theory (8 citations) and Computational Theory and Mathematics (87 citations). Amar Shah has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Zoubin Ghahramani, Tomoharu Iwata, Ryan P. Adams, Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Alex Kendall, Mark van der Wilk, Roberto Cipolla, Yarin Gal and Rowan McAllister. Their work appears in journals such as SHILAP Revista de lepidopterología, BMJ and BJPsych Bulletin.
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.