John Burden
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
-
- Ethics and Social Impacts of AI
Papers in
-
- Explainable Artificial Intelligence (XAI) 3
- Reinforcement Learning in Robotics 2
-
- Heart Failure Treatment and Management 2
- Co-authors
- José Hernández‐Orallo (8 shared papers)Stefan Paula (1 shared paper)David T. Stanton (1 shared paper)Ibrahim Habli (2 shared papers)Tom Lawton (2 shared papers)Yan Jia (2 shared papers)Fernando Martínez‐Plumed (2 shared papers)Ellen M. Voorhees (1 shared paper)
- Journals
- Open Heart (2 papers)Journal of the American Medical Informatics Association (1 paper)Behavior Research Methods (1 paper)Journal of Biomedical Informatics (1 paper)Teaching Sociology (1 paper)
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
John Burden
16 papers receiving 173 citations
Peers
Comparison fields: 5 of 87
- Health Informatics 14
- Safety Research 25
- Medical Laboratory Technology 3
- Artificial Intelligence 53
- Health Information Management 6
Countries citing papers authored by John Burden
This map shows the geographic impact of John Burden'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 John Burden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Burden more than expected).
Fields of papers citing papers by John Burden
This network shows the impact of papers produced by John Burden. 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 John Burden. The network helps show where John Burden may publish in the future.
Co-authors
The 25 scholars most cited alongside John Burden, 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 | 2023 | 48 | |
| 2 | 2012 | 26 | |
| 3 | 2014 | 24 | |
| 4 | 2020 | 13 | |
| 5 | 2020 | 12 | |
| 6 | 2023 | 11 | |
| 7 | 2022 | 10 | |
| 8 | 2021 | 9 | |
| 9 | Exploring AI Safety in Degrees: Generality, Capability and Control | 2020 | 7 |
| 10 | 2023 | 6 | |
| 11 | 1988 | 6 | |
| 12 | 2023 | 2 | |
| 13 | 1997 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2022 | 0 | |
| 19 | 2025 | 0 |
About John Burden
John Burden is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine, Health Informatics, Epidemiology and Safety Research, having authored 19 papers that have together received 179 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (3 papers), Reinforcement Learning in Robotics (2 papers), Heart Failure Treatment and Management (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Ethics and Social Impacts of AI (2 papers), Sepsis Diagnosis and Treatment (2 papers), Higher Education Research Studies (1 paper) and Diabetes Management and Research (1 paper). The work is most often cited by research in Health Informatics (14 citations), Safety Research (25 citations), Medical Laboratory Technology (3 citations), Artificial Intelligence (53 citations) and Health Information Management (6 citations). John Burden has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include José Hernández‐Orallo, Stefan Paula, David T. Stanton, Ibrahim Habli, Tom Lawton, Yan Jia, Fernando Martínez‐Plumed, Ellen M. Voorhees, Lucy G. Cheke and Jascha Sohl‐Dickstein. Their work appears in journals such as Open Heart, Journal of the American Medical Informatics Association, Behavior Research Methods, Journal of Biomedical Informatics and Teaching Sociology.
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.