Christopher Burr
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 2%
- Ethics and Social Impacts of AI
Papers in
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- Artificial Intelligence in Healthcare and Education 4
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- Ethics and Social Impacts of AI 11
- Co-authors
- Luciano FloridiMariarosaria TaddeoJessica MorleyJosh CowlsCaio C. Vieira MachadoIndra JoshiNello CristianiniJames Ladyman
- Journals
- Philosophical Psychology (2 papers)Minds and Machines (2 papers)Mind & Language (1 paper)Science and Engineering Ethics (1 paper)Current Opinion in Behavioral Sciences (1 paper)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Christopher Burr
25 papers receiving 979 citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Health Informatics 357
- Safety Research 269
- Applied Psychology 101
- Health Information Management 46
- Cognitive Neuroscience 150
Countries citing papers authored by Christopher Burr
This map shows the geographic impact of Christopher Burr'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 Christopher Burr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Burr more than expected).
Fields of papers citing papers by Christopher Burr
This network shows the impact of papers produced by Christopher Burr. 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 Christopher Burr. The network helps show where Christopher Burr may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Christopher Burr, 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 | 2025 | 6 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 33 | |
| 4 | 2021 | 13 | |
| 5 | 2021 | 7 | |
| 6 | 2021 | 30 | |
| 7 | 2020 | 162 | |
| 8 | 2020 | 14 | |
| 9 | The ethics of AI in health care: A mapping review Hit paper breakdown → | 2020 | 444 |
| 10 | 2020 | 1 | |
| 11 | 2020 | 3 | |
| 12 | 2020 | 27 | |
| 13 | 2020 | 40 | |
| 14 | 2019 | 34 | |
| 15 | 2019 | 25 | |
| 16 | 2019 | 3 | |
| 17 | Building machines that learn and think about morality | 2018 | 1 |
| 18 | 2018 | 104 | |
| 19 | 2017 | 6 | |
| 20 | 2016 | 0 |
About Christopher Burr
Christopher Burr is a scholar working on Health Informatics, Safety Research, Applied Psychology, General Decision Sciences and Cognitive Neuroscience, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (11 papers), Digital Mental Health Interventions (7 papers), Psychology of Moral and Emotional Judgment (4 papers), Ethics in Clinical Research (4 papers), Artificial Intelligence in Healthcare and Education (4 papers), Law, AI, and Intellectual Property (3 papers), Mental Health Research Topics (3 papers) and Impact of Technology on Adolescents (3 papers). The work is most often cited by research in Health Informatics (357 citations), Safety Research (269 citations), Applied Psychology (101 citations), Health Information Management (46 citations) and Cognitive Neuroscience (150 citations). Christopher Burr has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Luciano Floridi, Mariarosaria Taddeo, Jessica Morley, Josh Cowls, Caio C. Vieira Machado, Indra Joshi, Nello Cristianini, James Ladyman, David Leslie and Abby Tabor. Their work appears in journals such as Philosophical Psychology, Minds and Machines, Mind & Language, Science and Engineering Ethics and Current Opinion in Behavioral Sciences.
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.