Matthew A. Reyna
- Cardiology and Cardiovascular Medicine top 5%
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 5%
- Pulmonary and Respiratory Medicine top 10%
- Molecular Biology
- Co-authors
- Gari D. CliffordAshish SharmaShamim NematiSupreeth P. ShashikumarAli Bahrami RadAndoni ElolaSalman SeyediAnnie Gu
- Topics
- ECG Monitoring and Analysis (11 papers)Phonocardiography and Auscultation Techniques (7 papers)Cardiac electrophysiology and arrhythmias (5 papers)
- Journals
- JAMASHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- United StatesSpainChina
In The Last Decade
Matthew A. Reyna
28 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Cardiology and Cardiovascular Medicine 530
- Artificial Intelligence 355
- Cognitive Neuroscience 312
- Pulmonary and Respiratory Medicine 267
- Molecular Biology 230
Countries citing papers authored by Matthew A. Reyna
This map shows the geographic impact of Matthew A. Reyna'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 A. Reyna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew A. Reyna more than expected).
Fields of papers citing papers by Matthew A. Reyna
This network shows the impact of papers produced by Matthew A. Reyna. 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 A. Reyna. The network helps show where Matthew A. Reyna may publish in the future.
Co-authorship network of co-authors of Matthew A. Reyna
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew A. Reyna. A scholar is included among the top collaborators of Matthew A. Reyna 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 A. Reyna. Matthew A. Reyna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 13 | |
| 9 | 41 | |
| 10 | 0 | |
| 11 | 6 | |
| 12 | 26 | |
| 13 | 7 | |
| 14 | 7 | |
| 15 | 7 | |
| 16 | Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020breakdown → | 294 |
| 17 | 27 | |
| 18 | 31 | |
| 19 | 105 | |
| 20 | 177 |
About Matthew A. Reyna
Matthew A. Reyna is a scholar working on Issues, ethics and legal aspects, Cardiology and Cardiovascular Medicine and Family Practice, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (11 papers), Phonocardiography and Auscultation Techniques (7 papers) and Cardiac electrophysiology and arrhythmias (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (530 citations), Health Informatics (30 citations) and Cognitive Neuroscience (312 citations). Matthew A. Reyna has collaborated with scholars based in United States, Spain and China. Frequent co-authors include Gari D. Clifford, Ashish Sharma, Shamim Nemati, Supreeth P. Shashikumar, Ali Bahrami Rad, Andoni Elola, Salman Seyedi, Annie Gu, Erick Andres Perez Alday and Benjamin J. Raphael. Their work appears in journals such as JAMA, SHILAP Revista de lepidopterología and Bioinformatics.
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.