Stuart Bailey
Impact in
- Statistics and Probability top 2%
- Statistical Methods in Clinical Trials
- Orthopedics and Sports Medicine top 10%
- Sports injuries and prevention
Papers in
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- Statistical Methods in Clinical Trials 7
-
- Artificial Intelligence in Healthcare and Education 1
- Co-authors
- Beat E. Neuenschwander (3 shared papers)Satrajit Roychoudhury (1 shared paper)Simon Wandel (1 shared paper)Eric H. Rubin (2 shared papers)Monica M Mita (1 shared paper)Geoffrey Ira Shapiro (1 shared paper)Mikhail Akimov (1 shared paper)Cornelia Quadt (1 shared paper)
- Journals
- Clinical Cancer Research (3 papers)Pharmaceutical Statistics (2 papers)Blood (1 paper)Statistics in Biopharmaceutical Research (1 paper)Journal of Biopharmaceutical Statistics (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Stuart Bailey
12 papers receiving 535 citations
Stuart Bailey's Hit Papers
Peers
Comparison fields: 5 of 71
- Statistics and Probability 233
- Orthopedics and Sports Medicine 41
- Health Informatics 11
- Epidemiology 73
- Chemical Health and Safety 1
Countries citing papers authored by Stuart Bailey
This map shows the geographic impact of Stuart Bailey'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 Stuart Bailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stuart Bailey more than expected).
Fields of papers citing papers by Stuart Bailey
This network shows the impact of papers produced by Stuart Bailey. 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 Stuart Bailey. The network helps show where Stuart Bailey may publish in the future.
Co-authors
The 25 scholars most cited alongside Stuart Bailey, 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 | 2013 | 137 | |
| 2 | 2015 | 118 | |
| 3 | Prevention strategies and modifiable risk factors for sport-related concussions and head impacts: a systematic review and meta-analysis Hit paper breakdown → | 2023 | 105 |
| 4 | 2016 | 48 | |
| 5 | 2020 | 45 | |
| 6 | 2009 | 33 | |
| 7 | 2015 | 32 | |
| 8 | 2010 | 19 | |
| 9 | 2021 | 13 | |
| 10 | 2007 | 5 | |
| 11 | 2022 | 2 | |
| 12 | 2012 | 1 |
About Stuart Bailey
Stuart Bailey is a scholar working on Statistics and Probability, Health Informatics, Immunology and Allergy, Hematology and Infectious Diseases, having authored 12 papers that have together received 558 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (7 papers), Iron Metabolism and Disorders (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Heat shock proteins research (1 paper), SARS-CoV-2 detection and testing (1 paper), Traumatic Brain Injury Research (1 paper), Cell Adhesion Molecules Research (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Statistics and Probability (233 citations), Orthopedics and Sports Medicine (41 citations), Health Informatics (11 citations), Epidemiology (73 citations) and Chemical Health and Safety (1 citation). Stuart Bailey has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Beat E. Neuenschwander, Satrajit Roychoudhury, Simon Wandel, Eric H. Rubin, Monica M Mita, Geoffrey Ira Shapiro, Mikhail Akimov, Cornelia Quadt, Vali Papadimitrakopoulou and Carolyn D. Britten. Their work appears in journals such as Clinical Cancer Research, Pharmaceutical Statistics, Blood, Statistics in Biopharmaceutical Research and Journal of Biopharmaceutical Statistics.
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.