Gary S. Collins
Impact in
- Health Informatics top 0.01%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 0.02%
Papers in
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- Artificial Intelligence in Healthcare and Education 33
-
- Meta-analysis and systematic reviews 98
- Co-authors
- Douglas G. AltmanKarel G.M. MoonsJohannes B. ReitsmaRichard D RileyEwout W. SteyerbergSusan MallettKym I E SnellJoie Ensor
- Journals
- Journal of Clinical Epidemiology (38 papers)BMJ (36 papers)BMJ Open (24 papers)IEEE Journal of Quantum Electronics (16 papers)Statistics in Medicine (11 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Gary S. Collins
422 papers receiving 41.8k citations
Hit Papers
Peers
Comparison fields: 5 of 230
- Health Informatics 2.9k
- Health Information Management 1.6k
- Geriatrics and Gerontology 1.2k
- Statistics, Probability and Uncertainty 2.0k
- Emergency Medicine 2.4k
Countries citing papers authored by Gary S. Collins
This map shows the geographic impact of Gary S. Collins'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 Gary S. Collins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary S. Collins more than expected).
Fields of papers citing papers by Gary S. Collins
This network shows the impact of papers produced by Gary S. Collins. 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 Gary S. Collins. The network helps show where Gary S. Collins may publish in the future.
Co-authors
The 25 scholars most cited alongside Gary S. Collins, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 13 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 41 | |
| 10 | 2023 | 12 | |
| 11 | 2023 | 3 | |
| 12 | 2022 | 58 | |
| 13 | 2022 | 8 | |
| 14 | Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes Hit paper breakdown → | 2018 | 581 |
| 15 | 2018 | 5 | |
| 16 | 2017 | 86 | |
| 17 | 2016 | 68 | |
| 18 | 2012 | 31 | |
| 19 | 2008 | 104 | |
| 20 | Neuro-fuzzy technology for the detection of weak seismo-electric signals | 2006 | 2 |
About Gary S. Collins
Gary S. Collins is a scholar working on Health Informatics, Statistics, Probability and Uncertainty, Statistics and Probability, Family Practice and Orthopedics and Sports Medicine, having authored 443 papers that have together received 42.4k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (98 papers), Health Systems, Economic Evaluations, Quality of Life (75 papers), Artificial Intelligence in Healthcare and Education (33 papers), Machine Learning in Healthcare (28 papers), Cardiac, Anesthesia and Surgical Outcomes (26 papers), Sports injuries and prevention (26 papers), Shoulder Injury and Treatment (22 papers) and Statistical Methods in Clinical Trials (19 papers). The work is most often cited by research in Health Informatics (2.9k citations), Health Information Management (1.6k citations), Geriatrics and Gerontology (1.2k citations), Statistics, Probability and Uncertainty (2.0k citations) and Emergency Medicine (2.4k citations). Gary S. Collins has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Douglas G. Altman, Karel G.M. Moons, Johannes B. Reitsma, Richard D Riley, Ewout W. Steyerberg, Susan Mallett, Kym I E Snell, Joie Ensor, John P. A. Ioannidis and Ben Van Calster. Their work appears in journals such as Journal of Clinical Epidemiology, BMJ, BMJ Open, IEEE Journal of Quantum Electronics and Statistics in 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.