Rhonda Magel
- Statistics and Probability top 2%
- Public Health, Environmental and Occupational Health
- Education top 10%
- Management Science and Operations Research top 10%
- Physiology
- Co-authors
- Michelle R. MahoneyJeff TerpstraKenneth MagelJun WenLi CaoDoris HertsgaardAbdelaziz AlsubieDi Gao
- Topics
- Statistical Methods in Clinical Trials (8 papers)Statistical Methods and Bayesian Inference (7 papers)Advanced Statistical Methods and Models (7 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchPublic Health, Environmental and Occupational Health
- Partner nations
- United StatesAustriaSaudi Arabia
In The Last Decade
Rhonda Magel
34 papers receiving 370 citations
Peers
Comparison fields: 5 of 120
- Statistics and Probability 147
- Public Health, Environmental and Occupational Health 100
- Education 69
- Management Science and Operations Research 54
- Physiology 37
Countries citing papers authored by Rhonda Magel
This map shows the geographic impact of Rhonda Magel'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 Rhonda Magel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rhonda Magel more than expected).
Fields of papers citing papers by Rhonda Magel
This network shows the impact of papers produced by Rhonda Magel. 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 Rhonda Magel. The network helps show where Rhonda Magel may publish in the future.
Co-authorship network of co-authors of Rhonda Magel
This figure shows the co-authorship network connecting the top 25 collaborators of Rhonda Magel. A scholar is included among the top collaborators of Rhonda Magel 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 Rhonda Magel. Rhonda Magel 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 | Proposed Nonparametric Tests for the Simple Tree Alternative for Location and Scale Testing | 1 |
| 4 | 2 | |
| 5 | Predicting salaries of Major League Baseball players. | 5 |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 85 | |
| 11 | 4 | |
| 12 | Salmonellosis outbreaks in humans in the United States, 1990-2003: The contribution of turkey as a vehicle. | 1 |
| 13 | 8 | |
| 14 | 1 | |
| 15 | 59 | |
| 16 | 9 | |
| 17 | 2 | |
| 18 | 24 | |
| 19 | 3 | |
| 20 | 5 |
About Rhonda Magel
Rhonda Magel is a scholar working on Statistics and Probability, Management Science and Operations Research and Orthopedics and Sports Medicine, having authored 41 papers that have together received 396 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (8 papers), Statistical Methods and Bayesian Inference (7 papers) and Advanced Statistical Methods and Models (7 papers). The work is most often cited by research in Statistics and Probability (147 citations), Management Science and Operations Research (54 citations) and Public Health, Environmental and Occupational Health (100 citations). Rhonda Magel has collaborated with scholars based in United States, Austria and Saudi Arabia. Frequent co-authors include Michelle R. Mahoney, Jeff Terpstra, Kenneth Magel, Jun Wen, Li Cao, Doris Hertsgaard, Abdelaziz Alsubie, Di Gao, F. T. Wright and Gang Shen. Their work appears in journals such as Statistics in Medicine, Public Health Nutrition and The American Statistician.
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.