Glen Wright Colopy
Impact in
- Virology top 10%
- HIV Research and Treatment
Papers in
-
- Gaussian Processes and Bayesian Inference 4
- Machine Learning in Healthcare 4
- Anomaly Detection Techniques and Applications 2
- Co-authors
- David Andrew Clifton (8 shared papers)Stephen Roberts (5 shared papers)Ari Ercole (1 shared paper)Anika M. Weber (1 shared paper)Jeroen Bergmann (1 shared paper)Katherine E. Niehaus (2 shared papers)Peter H Charlton (1 shared paper)Yifan Cui (1 shared paper)
- Journals
- IEEE Journal of Biomedical and Health Informatics (2 papers)Blood (1 paper)Bio-Design and Manufacturing (1 paper)IEEE Access (1 paper)Progress in Biophysics and Molecular Biology (1 paper)
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Glen Wright Colopy
12 papers receiving 376 citations
Peers
Comparison fields: 5 of 67
- Virology 37
- Health Informatics 14
- Genetics 32
- Statistics and Probability 32
- Health Information Management 22
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 20 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 | 2013 | 190 | |
| 2 | 2017 | 74 | |
| 3 | 2018 | 45 | |
| 4 | 2015 | 27 | |
| 5 | 2017 | 12 | |
| 6 | 2019 | 9 | |
| 7 | 2016 | 8 | |
| 8 | 2017 | 6 | |
| 9 | 2017 | 4 | |
| 10 | 2019 | 3 | |
| 11 | 2022 | 2 | |
| 12 | 2018 | 1 |
About Glen Wright Colopy
Glen Wright Colopy is a scholar working on Artificial Intelligence, Statistics and Probability, Biomedical Engineering, Health Informatics and Surgery, having authored 12 papers that have together received 381 indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (4 papers), Machine Learning in Healthcare (4 papers), Non-Invasive Vital Sign Monitoring (4 papers), Healthcare Technology and Patient Monitoring (3 papers), Anomaly Detection Techniques and Applications (2 papers), Respiratory Support and Mechanisms (1 paper), Chronic Lymphocytic Leukemia Research (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Virology (37 citations), Health Informatics (14 citations), Genetics (32 citations), Statistics and Probability (32 citations) and Health Information Management (22 citations). Glen Wright Colopy has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include David Andrew Clifton, Stephen Roberts, Ari Ercole, Anika M. Weber, Jeroen Bergmann, Katherine E. Niehaus, Peter H Charlton, Yifan Cui, Yifei Liu and Richard Allen. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, Blood, Bio-Design and Manufacturing, IEEE Access and Progress in Biophysics and Molecular Biology.
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.