David A. Clifton
- Cardiology and Cardiovascular Medicine
- Artificial Intelligence top 10%
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Surgery
- Co-authors
- Lei CliftonLionel TarassenkoTingting ZhuLouise ThwaitesPing LüDani KiyassehNguyễn Văn HảoJacqueline Birks
- Topics
- Non-Invasive Vital Sign Monitoring (8 papers)Hemodynamic Monitoring and Therapy (5 papers)COVID-19 diagnosis using AI (4 papers)
- Journals
- Angewandte Chemie International EditionNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United KingdomVietnamChina
In The Last Decade
David A. Clifton
32 papers receiving 501 citations
Peers
Comparison fields: 5 of 125
- Cardiology and Cardiovascular Medicine 104
- Artificial Intelligence 97
- Biomedical Engineering 81
- Pulmonary and Respiratory Medicine 78
- Surgery 45
Countries citing papers authored by David A. Clifton
This map shows the geographic impact of David A. Clifton'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 David A. Clifton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Clifton more than expected).
Fields of papers citing papers by David A. Clifton
This network shows the impact of papers produced by David A. Clifton. 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 David A. Clifton. The network helps show where David A. Clifton may publish in the future.
Co-authorship network of co-authors of David A. Clifton
This figure shows the co-authorship network connecting the top 25 collaborators of David A. Clifton. A scholar is included among the top collaborators of David A. Clifton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David A. Clifton. David A. Clifton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 39 | |
| 4 | 1 | |
| 5 | 20 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 14 | |
| 9 | 7 | |
| 10 | 13 | |
| 11 | 4 | |
| 12 | 32 | |
| 13 | 28 | |
| 14 | 6 | |
| 15 | 19 | |
| 16 | CLOCS: Contrastive Learning of Cardiac Signals. | 4 |
| 17 | 54 | |
| 18 | 30 | |
| 19 | 0 | |
| 20 | 17 |
About David A. Clifton
David A. Clifton is a scholar working on Health Informatics, Cardiology and Cardiovascular Medicine and Radiological and Ultrasound Technology, having authored 36 papers that have together received 510 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (8 papers), Hemodynamic Monitoring and Therapy (5 papers) and COVID-19 diagnosis using AI (4 papers). The work is most often cited by research in Health Informatics (17 citations), Cardiology and Cardiovascular Medicine (104 citations) and Health Information Management (20 citations). David A. Clifton has collaborated with scholars based in United Kingdom, Vietnam and China. Frequent co-authors include Lei Clifton, Lionel Tarassenko, Tingting Zhu, Louise Thwaites, Ping Lü, Dani Kiyasseh, Nguyễn Văn Hảo, Jacqueline Birks, Delaram Jarchi and Hoang Minh Tu Van. Their work appears in journals such as Angewandte Chemie International Edition, Nature Communications and SHILAP Revista de lepidopterología.
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.