Wayne Ewy
Impact in
- Statistics and Probability top 2%
- Statistical Methods in Clinical Trials
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Health Systems, Economic Evaluations, Quality of Life 4
- Healthcare Policy and Management 4
-
- Statistical Methods in Clinical Trials 4
- Co-authors
- W. Richard Scott (4 shared papers)Ann Barry Flood (4 shared papers)Raymond Miller (2 shared papers)Brian Corrigan (2 shared papers)Peter Lockwood (4 shared papers)Lisa J. Benincosa (1 shared paper)R L Lalonde (1 shared paper)Hiroyuki Koide (1 shared paper)
- Journals
- Medical Care (3 papers)Pharmaceutical Research (2 papers)Clinical Pharmacology & Therapeutics (1 paper)Neurobiology of Aging (1 paper)Computers in Biology and Medicine (1 paper)
- Partner nations
- United StatesIcelandNew Zealand
In The Last Decade
Wayne Ewy
12 papers receiving 846 citations
Peers
Comparison fields: 5 of 117
- Statistics and Probability 207
- Pharmacology 88
- Economics and Econometrics 273
- Health Information Management 26
- General Health Professions 135
Countries citing papers authored by Wayne Ewy
This map shows the geographic impact of Wayne Ewy'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 Wayne Ewy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne Ewy more than expected).
Fields of papers citing papers by Wayne Ewy
This network shows the impact of papers produced by Wayne Ewy. 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 Wayne Ewy. The network helps show where Wayne Ewy may publish in the future.
Co-authors
The 25 scholars most cited alongside Wayne Ewy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 334 | |
| 2 | 1984 | 172 | |
| 3 | 1984 | 160 | |
| 4 | 2005 | 108 | |
| 5 | 2003 | 34 | |
| 6 | 1979 | 32 | |
| 7 | 2006 | 29 | |
| 8 | 1979 | 24 | |
| 9 | 1972 | 8 | |
| 10 | 2010 | 4 | |
| 11 | 1971 | 3 | |
| 12 | 2000 | 2 |
About Wayne Ewy
Wayne Ewy is a scholar working on Economics and Econometrics, Statistics and Probability, General Health Professions, Infectious Diseases and Pediatrics, Perinatology and Child Health, having authored 12 papers that have together received 910 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Healthcare Policy and Management (4 papers), Patient Satisfaction in Healthcare (3 papers), Primary Care and Health Outcomes (2 papers), COVID-19 epidemiological studies (1 paper), Mathematical and Theoretical Epidemiology and Ecology Models (1 paper) and Meta-analysis and systematic reviews (1 paper). The work is most often cited by research in Statistics and Probability (207 citations), Pharmacology (88 citations), Economics and Econometrics (273 citations), Health Information Management (26 citations) and General Health Professions (135 citations). Wayne Ewy has collaborated with scholars based in United States, Iceland and New Zealand. Frequent co-authors include W. Richard Scott, Ann Barry Flood, Raymond Miller, Brian Corrigan, Peter Lockwood, Lisa J. Benincosa, R L Lalonde, Hiroyuki Koide, Thomas G. Tensfeldt and Scott A. Marshall. Their work appears in journals such as Medical Care, Pharmaceutical Research, Clinical Pharmacology & Therapeutics, Neurobiology of Aging and Computers in Biology and Medicine.
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.