Glen Wright Colopy
Impact in
- Modeling and Simulation top 10%
- Mathematical Biology Tumor Growth
Papers in
- Surgery 6
- Healthcare Technology and Patient Monitoring 6
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- Machine Learning in Healthcare 3
- Gaussian Processes and Bayesian Inference 3
- Co-authors
- David A. Clifton (8 shared papers)Stephen Roberts (5 shared papers)Anika M. Weber (1 shared paper)Jeroen Bergmann (1 shared paper)Ari Ercole (1 shared paper)Yifan Cui (1 shared paper)Katherine E. Niehaus (2 shared papers)Angélica González Arrieta (1 shared paper)
- Journals
- IEEE Journal of Biomedical and Health Informatics (2 papers)IEEE Access (1 paper)Yearbook of Medical Informatics (1 paper)Progress in Biophysics and Molecular Biology (1 paper)Bio-Design and Manufacturing (1 paper)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Glen Wright Colopy
11 papers receiving 177 citations
Peers
Comparison fields: 5 of 71
- Health Informatics 6
- Modeling and Simulation 17
- Health Information Management 16
- Critical Care and Intensive Care Medicine 10
- Statistics and Probability 17
Countries citing papers authored by Glen Wright Colopy
This map shows the geographic impact of Glen Wright Colopy'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 Glen Wright Colopy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glen Wright Colopy more than expected).
Fields of papers citing papers by Glen Wright Colopy
This network shows the impact of papers produced by Glen Wright Colopy. 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 Glen Wright Colopy. The network helps show where Glen Wright Colopy may publish in the future.
Co-authors
The 22 scholars most cited alongside Glen Wright Colopy, 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 | 2018 | 68 | |
| 2 | 2018 | 46 | |
| 3 | 2015 | 24 | |
| 4 | 2017 | 13 | |
| 5 | 2016 | 7 | |
| 6 | 2019 | 7 | |
| 7 | 2017 | 6 | |
| 8 | 2017 | 4 | |
| 9 | 2019 | 3 | |
| 10 | 2022 | 2 | |
| 11 | 2018 | 1 |
About Glen Wright Colopy
Glen Wright Colopy is a scholar working on Surgery, Artificial Intelligence, Epidemiology, Signal Processing and Biomedical Engineering, having authored 11 papers that have together received 181 indexed citations. Recurring topics across this work include Healthcare Technology and Patient Monitoring (6 papers), Machine Learning in Healthcare (3 papers), Gaussian Processes and Bayesian Inference (3 papers), Non-Invasive Vital Sign Monitoring (2 papers), Time Series Analysis and Forecasting (2 papers), Sepsis Diagnosis and Treatment (2 papers), Artificial Intelligence in Healthcare (1 paper) and Respiratory Support and Mechanisms (1 paper). The work is most often cited by research in Health Informatics (6 citations), Modeling and Simulation (17 citations), Health Information Management (16 citations), Critical Care and Intensive Care Medicine (10 citations) and Statistics and Probability (17 citations). Glen Wright Colopy has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include David A. Clifton, Stephen Roberts, Anika M. Weber, Jeroen Bergmann, Ari Ercole, Yifan Cui, Katherine E. Niehaus, Angélica González Arrieta, Peter Charlton and Cynthia J. Musante. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, IEEE Access, Yearbook of Medical Informatics, Progress in Biophysics and Molecular Biology and Bio-Design and Manufacturing.
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.