Eigil Samset

109 papers receiving 1.9k citations

Peers

Eigil Samset
Comparison fields: 5 of 126
  • Cardiology and Cardiovascular Medicine 528
  • Radiology, Nuclear Medicine and Imaging 534
  • Computer Vision and Pattern Recognition 414
  • Health Informatics 22
  • Biomedical Engineering 446
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Ivo Wolf Germany
Ali Kamen United States
Wolfgang Wein Germany
Hassan Rivaz Canada
Evrim Türkbey United States
Wei Yang China
András Lassó Canada
Jack Lee United Kingdom
Marco Nolden Germany
Xiangrong Zhou Japan
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Countries citing papers authored by Eigil Samset

Since Specialization
Citations

This map shows the geographic impact of Eigil Samset'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 Eigil Samset with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eigil Samset more than expected).

Fields of papers citing papers by Eigil Samset

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eigil Samset. 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 Eigil Samset. The network helps show where Eigil Samset may publish in the future.

Co-authors

The 25 scholars most cited alongside Eigil Samset, 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 Eigil Samset Line = papers co-authored together Eigil Samset links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018164
2 2017111
3 2017106
4 200584
5 202270
6 202161
7 200755
8 200151
9 201051
10 200547
11 201646
12 200043
13 201938
14 200538
15 201936
16 200936
17 200835
18 201634
19 200434
20 201033

About Eigil Samset

Eigil Samset is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Surgery, having authored 113 papers that have together received 1.9k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (20 papers), Surgical Simulation and Training (18 papers), Cardiac Valve Diseases and Treatments (18 papers), Cardiovascular Function and Risk Factors (16 papers), Ultrasound Imaging and Elastography (13 papers), Advanced MRI Techniques and Applications (13 papers), Augmented Reality Applications (13 papers) and Medical Imaging Techniques and Applications (11 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (528 citations), Radiology, Nuclear Medicine and Imaging (534 citations), Computer Vision and Pattern Recognition (414 citations), Health Informatics (22 citations) and Biomedical Engineering (446 citations). Eigil Samset has collaborated with scholars based in Norway, United States and Belgium. Frequent co-authors include Henry Hirschberg, Christophe Leclercq, Petter Risholm, Elena Galli, Erwan Donal, Philippe Mabo, Arnaud Hubert, William M. Wells, Erik Fosse and Jan D’hooge. Their work appears in journals such as Computer Aided Surgery, min - Minimally Invasive Neurosurgery, International Journal of Computer Assisted Radiology and Surgery, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control and European Heart Journal - Cardiovascular Imaging.

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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