Mark Thompson
Impact in
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- Acute Myocardial Infarction Research
- Cardiovascular Function and Risk Factors
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- Scientific Computing and Data Management
Papers in
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- Semantic Web and Ontologies 7
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- Biomedical Text Mining and Ontologies 10
- Co-authors
- Conor F. Lundergan (8 shared papers)Allan M. Ross (8 shared papers)Jonathan Reiner (8 shared papers)Steven Rohrbeck (5 shared papers)Yuri A. Deychak (5 shared papers)Samuel W. Greenhouse (2 shared papers)Ram Dantu (15 shared papers)Eric J. Topol (3 shared papers)
- Journals
- Journal of the American College of Cardiology (6 papers)Data Intelligence (3 papers)Journal of Biomedical Semantics (3 papers)American Heart Journal (2 papers)Journal of Applied Physiology (2 papers)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Mark Thompson
59 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 140
- Cardiology and Cardiovascular Medicine 599
- Information Systems and Management 154
- Information Systems 266
- Radiology, Nuclear Medicine and Imaging 210
- Internal Medicine 27
Countries citing papers authored by Mark Thompson
This map shows the geographic impact of Mark Thompson'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 Mark Thompson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Thompson more than expected).
Fields of papers citing papers by Mark Thompson
This network shows the impact of papers produced by Mark Thompson. 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 Mark Thompson. The network helps show where Mark Thompson may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Thompson, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 237 | |
| 2 | 1996 | 215 | |
| 3 | 1997 | 126 | |
| 4 | 2019 | 72 | |
| 5 | 1995 | 61 | |
| 6 | 2021 | 58 | |
| 7 | 2004 | 52 | |
| 8 | 2017 | 51 | |
| 9 | 2016 | 51 | |
| 10 | 2018 | 46 | |
| 11 | 2002 | 43 | |
| 12 | 1986 | 43 | |
| 13 | 2019 | 42 | |
| 14 | 1986 | 41 | |
| 15 | 1996 | 38 | |
| 16 | 2014 | 36 | |
| 17 | 1995 | 35 | |
| 18 | 1987 | 34 | |
| 19 | 2022 | 31 | |
| 20 | 2005 | 30 |
About Mark Thompson
Mark Thompson is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Information Systems and Management and Computer Networks and Communications, having authored 61 papers that have together received 1.6k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (10 papers), Biomedical Text Mining and Ontologies (10 papers), Research Data Management Practices (8 papers), Semantic Web and Ontologies (7 papers), Blockchain Technology Applications and Security (5 papers), Network Security and Intrusion Detection (5 papers), Acute Myocardial Infarction Research (5 papers) and Data Quality and Management (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (599 citations), Information Systems and Management (154 citations), Information Systems (266 citations), Radiology, Nuclear Medicine and Imaging (210 citations) and Internal Medicine (27 citations). Mark Thompson has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Conor F. Lundergan, Allan M. Ross, Jonathan Reiner, Steven Rohrbeck, Yuri A. Deychak, Samuel W. Greenhouse, Ram Dantu, Eric J. Topol, Marco Roos and Scott L. Woodfield. Their work appears in journals such as Journal of the American College of Cardiology, Data Intelligence, Journal of Biomedical Semantics, American Heart Journal and Journal of Applied Physiology.
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.