John Burden
Impact in
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- Artificial Intelligence in Healthcare and Education
- Safety Research top 10%
- Ethics and Social Impacts of AI
Papers in
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- Ethics and Social Impacts of AI 6
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- Artificial Intelligence Applications 4
- Explainable Artificial Intelligence (XAI) 3
- Psychiatry, Mental Health, Neuroscience 2
- Reinforcement Learning in Robotics 2
- Topic Modeling 2
- Machine Learning in Healthcare 2
- Co-authors
- José Hernández‐Orallo (9 shared papers)Fernando Martínez‐Plumed (3 shared papers)Ibrahim Habli (2 shared papers)Yan Jia (2 shared papers)Tom Lawton (2 shared papers)Ellen M. Voorhees (1 shared paper)Melanie Mitchell (1 shared paper)Josh Tenenbaum (1 shared paper)
- Journals
- Behavior Research Methods (1 paper)EPJ Data Science (1 paper)Journal of Biomedical Informatics (1 paper)Artificial Intelligence (1 paper)Journal of Artificial Intelligence Research (1 paper)
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
John Burden
12 papers receiving 175 citations
Peers
Comparison fields: 5 of 45
- Health Informatics 14
- Safety Research 57
- Artificial Intelligence 76
- Human-Computer Interaction 13
- Safety, Risk, Reliability and Quality 12
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 | 78 | |
| 2 | 2023 | 56 | |
| 3 | 2020 | 14 | |
| 4 | 2023 | 14 | |
| 5 | 2021 | 9 | |
| 6 | Exploring AI Safety in Degrees: Generality, Capability and Control | 2020 | 6 |
| 7 | 2022 | 2 | |
| 8 | 2020 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2026 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2026 | 0 |
About John Burden
John Burden is a scholar working on Safety Research, Artificial Intelligence, Safety, Risk, Reliability and Quality, Health Informatics and Statistics, Probability and Uncertainty, having authored 15 papers that have together received 185 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (6 papers), Artificial Intelligence Applications (4 papers), Explainable Artificial Intelligence (XAI) (3 papers), Psychiatry, Mental Health, Neuroscience (2 papers), Reinforcement Learning in Robotics (2 papers), Topic Modeling (2 papers), Machine Learning in Healthcare (2 papers) and Safety Systems Engineering in Autonomy (2 papers). The work is most often cited by research in Health Informatics (14 citations), Safety Research (57 citations), Artificial Intelligence (76 citations), Human-Computer Interaction (13 citations) and Safety, Risk, Reliability and Quality (12 citations). John Burden has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include José Hernández‐Orallo, Fernando Martínez‐Plumed, Ibrahim Habli, Yan Jia, Tom Lawton, Ellen M. Voorhees, Melanie Mitchell, Josh Tenenbaum, Douwe Kiela and Murray Shanahan. Their work appears in journals such as Behavior Research Methods, EPJ Data Science, Journal of Biomedical Informatics, Artificial Intelligence and Journal of Artificial Intelligence Research.
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.