Eric Kerfoot

2.5k citations
18 papers · 270 · h-index 9

Impact in

Papers in

Eric Kerfoot

16 papers receiving 266 citations

Peers

Eric Kerfoot
Comparison fields: 5 of 65
  • Cardiology and Cardiovascular Medicine 163
  • Radiology, Nuclear Medicine and Imaging 54
  • Fluid Flow and Transfer Processes 12
  • Biomedical Engineering 73
  • Neurology 24
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Andrew Crozier United Kingdom
Fredrik Eikeland Fossan Norway
Michele Bucelli Italy
Alberto Zingaro Italy
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Jorge Mariscal Harana United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Eric Kerfoot

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Eric Kerfoot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric Kerfoot Line = papers co-authored together Eric Kerfoot links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201345
2 201644
3 201942
4 201628
5 201824
6 202320
7 202119
8 201316
9 202110
10 20176
11 20254
12 20094
13
Automated Model−based Verification of Object−Oriented Code
20063
14
Maintaining Invariants Through Object Coupling Mechanisms
20072
15 20202
16 20241
17 20100
18 20210

About Eric Kerfoot

Eric Kerfoot is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computational Theory and Mathematics and Biomedical Engineering, 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), Cardiac Imaging and Diagnostics (3 papers), Formal Methods in Verification (3 papers), Elasticity and Material Modeling (3 papers), Cardiac Valve Diseases and Treatments (3 papers), Cardiac Arrhythmias and Treatments (2 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (163 citations), Radiology, Nuclear Medicine and Imaging (54 citations), Fluid Flow and Transfer Processes (12 citations), Biomedical Engineering (73 citations) and Neurology (24 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, Bradley Porter, Sander Land, Martin J. Bishop and Baldeep S. Sidhu. Their work appears in journals such as Frontiers in Physiology, Computer Methods and Programs in Biomedicine, EClinicalMedicine, Heart Rhythm and Applied Sciences.

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.

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