Glen P. Martin
- Cardiology and Cardiovascular Medicine top 2%
- Epidemiology top 5%
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 5%
- Artificial Intelligence top 5%
- Co-authors
- Richard D RileyGary S. CollinsMaarten van SmedenKym I E SnellJoie EnsorFrank E. HarrellMatthew SperrinKarel G.M. Moons
- Topics
- Machine Learning in Healthcare (24 papers)Health Systems, Economic Evaluations, Quality of Life (22 papers)Acute Myocardial Infarction Research (18 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaJournal of the American College of Cardiology
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Glen P. Martin
123 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Cardiology and Cardiovascular Medicine 760
- Epidemiology 624
- Surgery 490
- Pulmonary and Respiratory Medicine 397
- Artificial Intelligence 339
Countries citing papers authored by Glen P. Martin
This map shows the geographic impact of Glen P. Martin'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 Glen P. Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glen P. Martin more than expected).
Fields of papers citing papers by Glen P. Martin
This network shows the impact of papers produced by Glen P. Martin. 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 Glen P. Martin. The network helps show where Glen P. Martin may publish in the future.
Co-authorship network of co-authors of Glen P. Martin
This figure shows the co-authorship network connecting the top 25 collaborators of Glen P. Martin. A scholar is included among the top collaborators of Glen P. Martin 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 Glen P. Martin. Glen P. Martin 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 30 | |
| 11 | 2 | |
| 12 | 26 | |
| 13 | 16 | |
| 14 | 7 | |
| 15 | 15 | |
| 16 | 1 | |
| 17 | 13 | |
| 18 | 6 | |
| 19 | 7 | |
| 20 | Cost Efficient Adaptive Protocol with Buffering for Advanced Mobile Database Applications | 6 |
About Glen P. Martin
Glen P. Martin is a scholar working on Statistics and Probability, Cardiology and Cardiovascular Medicine and Statistics, Probability and Uncertainty, having authored 133 papers that have together received 3.1k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (24 papers), Health Systems, Economic Evaluations, Quality of Life (22 papers) and Acute Myocardial Infarction Research (18 papers). The work is most often cited by research in Health Informatics (134 citations), Geriatrics and Gerontology (132 citations) and Cardiology and Cardiovascular Medicine (760 citations). Glen P. Martin has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Richard D Riley, Gary S. Collins, Maarten van Smeden, Kym I E Snell, Joie Ensor, Frank E. Harrell, Matthew Sperrin, Karel G.M. Moons, Johannes B. Reitsma and Niels Peek. 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.