Daniel Burns
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 10%
Papers in
-
- Machine Learning in Healthcare 4
-
- Artificial Intelligence in Healthcare 2
- Co-authors
- Apostolos Pilaftsis (2 shared papers)Michael J Boniface (8 shared papers)Francis P. Chmiel (4 shared papers)Neil M. White (2 shared papers)Zlatko D. Zlatev (2 shared papers)Thomas W V Daniels (2 shared papers)Christopher Duckworth (5 shared papers)Salah Mansour (3 shared papers)
- Journals
- Scientific Reports (3 papers)BMJ Open (2 papers)Journal of Internet Services and Applications (1 paper)British Journal of Dermatology (1 paper)European Journal of Cardio-Thoracic Surgery (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Daniel Burns
21 papers receiving 356 citations
Peers
Comparison fields: 5 of 84
- Health Informatics 32
- Health Information Management 16
- Nuclear and High Energy Physics 47
- Infectious Diseases 60
- Astronomy and Astrophysics 53
Countries citing papers authored by Daniel Burns
This map shows the geographic impact of Daniel Burns'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 Daniel Burns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Burns more than expected).
Fields of papers citing papers by Daniel Burns
This network shows the impact of papers produced by Daniel Burns. 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 Daniel Burns. The network helps show where Daniel Burns may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Burns, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 75 | |
| 2 | 2017 | 47 | |
| 3 | 2016 | 44 | |
| 4 | 2021 | 37 | |
| 5 | 2023 | 30 | |
| 6 | 2022 | 23 | |
| 7 | 2021 | 20 | |
| 8 | 2019 | 19 | |
| 9 | 2015 | 16 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 11 | |
| 12 | 2023 | 10 | |
| 13 | 2024 | 6 | |
| 14 | 2022 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2018 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2022 | 1 |
About Daniel Burns
Daniel Burns is a scholar working on Artificial Intelligence, Health Information Management, Immunology, Nuclear and High Energy Physics and Public Health, Environmental and Occupational Health, having authored 27 papers that have together received 367 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (4 papers), Travel-related health issues (3 papers), Immune Cell Function and Interaction (3 papers), Black Holes and Theoretical Physics (2 papers), Artificial Intelligence in Healthcare (2 papers), Cosmology and Gravitation Theories (2 papers), SARS-CoV-2 detection and testing (2 papers) and Privacy, Security, and Data Protection (2 papers). The work is most often cited by research in Health Informatics (32 citations), Health Information Management (16 citations), Nuclear and High Energy Physics (47 citations), Infectious Diseases (60 citations) and Astronomy and Astrophysics (53 citations). Daniel Burns has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Apostolos Pilaftsis, Michael J Boniface, Francis P. Chmiel, Neil M. White, Zlatko D. Zlatev, Thomas W V Daniels, Christopher Duckworth, Salah Mansour, Ali Roghanian and Ivo Tews. Their work appears in journals such as Scientific Reports, BMJ Open, Journal of Internet Services and Applications, British Journal of Dermatology and European Journal of Cardio-Thoracic Surgery.
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.