Matthew Phelan
- Cardiology and Cardiovascular Medicine top 10%
- Epidemiology
- Surgery
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Benjamin A. GoldsteinNrupen A. BhavsarMichael PencinaEric J. VelazquezNeha J. PagidipatiRebecca C. SteortsCara O’BrienArmando Bedoya
- Topics
- Cardiac Valve Diseases and Treatments (5 papers)Cardiovascular Function and Risk Factors (4 papers)Machine Learning in Healthcare (3 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaJournal of the American College of Cardiology
- Partner nations
- United StatesDenmarkSingapore
In The Last Decade
Matthew Phelan
27 papers receiving 679 citations
Peers
Comparison fields: 5 of 93
- Cardiology and Cardiovascular Medicine 248
- Epidemiology 202
- Surgery 106
- Artificial Intelligence 96
- Radiology, Nuclear Medicine and Imaging 90
Countries citing papers authored by Matthew Phelan
This map shows the geographic impact of Matthew Phelan'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 Matthew Phelan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Phelan more than expected).
Fields of papers citing papers by Matthew Phelan
This network shows the impact of papers produced by Matthew Phelan. 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 Matthew Phelan. The network helps show where Matthew Phelan may publish in the future.
Co-authorship network of co-authors of Matthew Phelan
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Phelan. A scholar is included among the top collaborators of Matthew Phelan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew Phelan. Matthew Phelan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 20 | |
| 8 | 1 | |
| 9 | 22 | |
| 10 | 17 | |
| 11 | 64 | |
| 12 | 11 | |
| 13 | 1 | |
| 14 | 58 | |
| 15 | 49 | |
| 16 | 1 | |
| 17 | 116 | |
| 18 | 43 | |
| 19 | 1 | |
| 20 | 16 |
About Matthew Phelan
Matthew Phelan is a scholar working on Cardiology and Cardiovascular Medicine, Applied Microbiology and Biotechnology and Pharmacy, having authored 28 papers that have together received 689 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (5 papers), Cardiovascular Function and Risk Factors (4 papers) and Machine Learning in Healthcare (3 papers). The work is most often cited by research in Health Informatics (32 citations), Health Information Management (53 citations) and Cardiology and Cardiovascular Medicine (248 citations). Matthew Phelan has collaborated with scholars based in United States, Denmark and Singapore. Frequent co-authors include Benjamin A. Goldstein, Nrupen A. Bhavsar, Michael Pencina, Eric J. Velazquez, Neha J. Pagidipati, Rebecca C. Steorts, Cara O’Brien, Armando Bedoya, Phillip J. Schulte and Meredith E. Clement. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.
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.