Michael Burns
Impact in
- Health Informatics top 5%
- Astronomy and Astrophysics top 5%
- Ionosphere and magnetosphere dynamics
Papers in
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- Cardiac, Anesthesia and Surgical Outcomes 12
-
- Machine Learning in Healthcare 6
- Co-authors
- A. K. Harding (5 shared papers)R. Ramaty (3 shared papers)Bongjin Kim (1 shared paper)John E. Prescott (1 shared paper)T. M. Brown (1 shared paper)C. C. Grimes (1 shared paper)Sachin Kheterpal (7 shared papers)Leif Saager (4 shared papers)
- Journals
- Anesthesia & Analgesia (5 papers)Anesthesiology (4 papers)The Astrophysical Journal (2 papers)npj Digital Medicine (2 papers)JAMA Network Open (1 paper)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Michael Burns
38 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 143
- Health Informatics 49
- Astronomy and Astrophysics 222
- Anesthesiology and Pain Medicine 57
- Atomic and Molecular Physics, and Optics 301
- Cardiology and Cardiovascular Medicine 214
Countries citing papers authored by Michael Burns
This map shows the geographic impact of Michael 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 Michael Burns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Burns more than expected).
Fields of papers citing papers by Michael Burns
This network shows the impact of papers produced by Michael 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 Michael Burns. The network helps show where Michael Burns may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Positron-electron pairs in astrophysics | 1983 | 197 |
| 2 | 2019 | 150 | |
| 3 | 1976 | 139 | |
| 4 | 2009 | 127 | |
| 5 | 2020 | 79 | |
| 6 | 2003 | 69 | |
| 7 | 2020 | 50 | |
| 8 | 1982 | 46 | |
| 9 | 2022 | 26 | |
| 10 | 2014 | 25 | |
| 11 | 2020 | 21 | |
| 12 | 2019 | 21 | |
| 13 | 2020 | 20 | |
| 14 | 2002 | 19 | |
| 15 | 1984 | 16 | |
| 16 | Positron-electron pairs in astrophysics; Proceedings of the Workshop, Greenbelt, MD, January 6-8, 1983 | 1983 | 15 |
| 17 | 1996 | 13 | |
| 18 | 2021 | 10 | |
| 19 | 2002 | 10 | |
| 20 | 2002 | 7 |
About Michael Burns
Michael Burns is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence, Surgery, Electrical and Electronic Engineering and Health Informatics, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (12 papers), Artificial Intelligence in Healthcare and Education (6 papers), Machine Learning in Healthcare (6 papers), Hemodynamic Monitoring and Therapy (4 papers), Formal Methods in Verification (4 papers), Electronic Health Records Systems (3 papers), Particle Accelerators and Free-Electron Lasers (3 papers) and VLSI and Analog Circuit Testing (3 papers). The work is most often cited by research in Health Informatics (49 citations), Astronomy and Astrophysics (222 citations), Anesthesiology and Pain Medicine (57 citations), Atomic and Molecular Physics, and Optics (301 citations) and Cardiology and Cardiovascular Medicine (214 citations). Michael Burns has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include A. K. Harding, R. Ramaty, Bongjin Kim, John E. Prescott, T. M. Brown, C. C. Grimes, Sachin Kheterpal, Leif Saager, R. V. E. Lovelace and Michael R. Mathis. Their work appears in journals such as Anesthesia & Analgesia, Anesthesiology, The Astrophysical Journal, npj Digital Medicine and JAMA Network Open.
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.