Eric Kerfoot

2.5k citations
25 papers · 471 · h-index 12

Impact in

Papers in

Eric Kerfoot

22 papers receiving 467 citations

Peers

Eric Kerfoot
Comparison fields: 5 of 82
  • Cardiology and Cardiovascular Medicine 203
  • Radiology, Nuclear Medicine and Imaging 130
  • Health Informatics 7
  • Computer Vision and Pattern Recognition 56
  • Biomedical Engineering 112
Replace Jameson Merkow with:
Jameson Merkow United States
Gabriel Mistelbauer Austria
Kristin McLeod Norway
Eoin Hyde United Kingdom
Rodney Hose United Kingdom
Dominik Neumann Germany
Iván Macía Spain
Mehmet Gulsun United States
Trygve Eftestøl Norway
Marina Strocchi 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

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019126
2 201653
3 201352
4 201943
5 201629
6 201828
7 202123
8 202321
9 201317
10 201615
11 202111
12 201911
13 20198
14 20097
15 20176
16 20255
17 20184
18
Automated Model−based Verification of Object−Oriented Code
20064
19 20242
20 20202

About Eric Kerfoot

Eric Kerfoot is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics, having authored 25 papers that have together received 471 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (8 papers), Cardiac Valve Diseases and Treatments (4 papers), Logic, programming, and type systems (4 papers), Advanced MRI Techniques and Applications (4 papers), Cardiac Imaging and Diagnostics (4 papers), Medical Image Segmentation Techniques (3 papers), Medical Imaging Techniques and Applications (3 papers) and Elasticity and Material Modeling (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (203 citations), Radiology, Nuclear Medicine and Imaging (130 citations), Health Informatics (7 citations), Computer Vision and Pattern Recognition (56 citations) and Biomedical Engineering (112 citations). Eric Kerfoot has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Jack Lee, James R. Clough, Julia A. Schnabel, Andrew P. King, İlkay Öksüz, David Nordsletten, Steven Niederer, Pablo Lamata, Nic Smith and Nicolas P. Smith. Their work appears in journals such as Frontiers in Physiology, SIAM Journal on Scientific Computing, Computer Methods and Programs in Biomedicine, Annals of Biomedical Engineering and Journal of Infection.

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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