Jay Bartroff
- Statistics and Probability top 5%
- Radiology, Nuclear Medicine and Imaging
- Biomedical Engineering
- Management Science and Operations Research top 10%
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- Tze Leung LaiJames S. WhitingMiguel P. EcksteinCraig K. AbbeyFrançois BochudMei‐Chiung ShihJinlin SongEster Samuel‐Cahn
- Topics
- Statistical Methods in Clinical Trials (14 papers)Optimal Experimental Design Methods (7 papers)Statistical Methods and Bayesian Inference (5 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- United StatesIsrael
In The Last Decade
Jay Bartroff
29 papers receiving 340 citations
Peers
Comparison fields: 5 of 71
- Statistics and Probability 120
- Radiology, Nuclear Medicine and Imaging 97
- Biomedical Engineering 77
- Management Science and Operations Research 76
- Statistics, Probability and Uncertainty 53
Countries citing papers authored by Jay Bartroff
This map shows the geographic impact of Jay Bartroff'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 Jay Bartroff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Bartroff more than expected).
Fields of papers citing papers by Jay Bartroff
This network shows the impact of papers produced by Jay Bartroff. 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 Jay Bartroff. The network helps show where Jay Bartroff may publish in the future.
Co-authorship network of co-authors of Jay Bartroff
This figure shows the co-authorship network connecting the top 25 collaborators of Jay Bartroff. A scholar is included among the top collaborators of Jay Bartroff 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 Jay Bartroff. Jay Bartroff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | 15 | |
| 4 | 2 | |
| 5 | 19 | |
| 6 | 5 | |
| 7 | The Nonparametric Adaptive Grid Algorithm for Population Pharmacokinetic Modeling | 3 |
| 8 | 27 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 10 | |
| 13 | 8 | |
| 14 | 15 | |
| 15 | 19 | |
| 16 | 11 | |
| 17 | 4 | |
| 18 | 12 | |
| 19 | 2 | |
| 20 | 21 |
About Jay Bartroff
Jay Bartroff is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 30 papers that have together received 354 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (14 papers), Optimal Experimental Design Methods (7 papers) and Statistical Methods and Bayesian Inference (5 papers). The work is most often cited by research in Statistics and Probability (120 citations), Statistics, Probability and Uncertainty (53 citations) and Management Science and Operations Research (76 citations). Jay Bartroff has collaborated with scholars based in United States and Israel. Frequent co-authors include Tze Leung Lai, James S. Whiting, Miguel P. Eckstein, Craig K. Abbey, François Bochud, Mei‐Chiung Shih, Jinlin Song, Ester Samuel‐Cahn, Matthew Finkelman and Larry Goldstein. Their work appears in journals such as Biometrics, Optics Express and Journal of Environmental Management.
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.