Eric Kerfoot
- Cardiology and Cardiovascular Medicine top 10%
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Surgery
- Neurology
- Co-authors
- David NordslettenSteven NiedererPablo LamataNic SmithJack LeeNicolas P. SmithCaroline Mendonça CostaAndrew Cookson
- Topics
- Cardiovascular Function and Risk Factors (7 papers)Logic, programming, and type systems (4 papers)Cardiac Valve Diseases and Treatments (3 papers)
- Cited by
- Cardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and ImagingFluid Flow and Transfer Processes
- Partner nations
- United KingdomUnited StatesNew Zealand
In The Last Decade
Eric Kerfoot
16 papers receiving 266 citations
Peers
Comparison fields: 5 of 65
- Cardiology and Cardiovascular Medicine 163
- Biomedical Engineering 73
- Radiology, Nuclear Medicine and Imaging 54
- Surgery 32
- Neurology 24
Countries citing papers authored by Eric Kerfoot
This map shows the geographic impact of Eric Kerfoot'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 Eric Kerfoot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Kerfoot more than expected).
Fields of papers citing papers by Eric Kerfoot
This network shows the impact of papers produced by Eric Kerfoot. 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 Eric Kerfoot. The network helps show where Eric Kerfoot may publish in the future.
Co-authorship network of co-authors of Eric Kerfoot
This figure shows the co-authorship network connecting the top 25 collaborators of Eric Kerfoot. A scholar is included among the top collaborators of Eric Kerfoot 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 Eric Kerfoot. Eric Kerfoot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 20 | |
| 4 | 10 | |
| 5 | 19 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 42 | |
| 9 | 24 | |
| 10 | 6 | |
| 11 | 44 | |
| 12 | 28 | |
| 13 | 16 | |
| 14 | 45 | |
| 15 | 0 | |
| 16 | 4 | |
| 17 | Maintaining Invariants Through Object Coupling Mechanisms | 2 |
| 18 | Automated Model−based Verification of Object−Oriented Code | 3 |
About Eric Kerfoot
Eric Kerfoot is a scholar working on Cardiology and Cardiovascular Medicine, Software and Computational Theory and Mathematics, having authored 18 papers that have together received 270 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (7 papers), Logic, programming, and type systems (4 papers) and Cardiac Valve Diseases and Treatments (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (163 citations), Radiology, Nuclear Medicine and Imaging (54 citations) and Fluid Flow and Transfer Processes (12 citations). Eric Kerfoot has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include David Nordsletten, Steven Niederer, Pablo Lamata, Nic Smith, Jack Lee, Nicolas P. Smith, Caroline Mendonça Costa, Andrew Cookson, Adam J. Lewandowski and Zhong Chen. Their work appears in journals such as European Heart Journal, Frontiers in Physiology and Medical Image Analysis.
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.