Peter J. Yim

33 papers receiving 705 citations

Peers

Peter J. Yim
Comparison fields: 5 of 78
  • Computer Graphics and Computer-Aided Design 66
  • Computer Vision and Pattern Recognition 266
  • Radiology, Nuclear Medicine and Imaging 253
  • Neurology 147
  • Pulmonary and Respiratory Medicine 275
Replace Daniël Ruijters with:
Daniël Ruijters Netherlands
Oliver Beuing Germany
Yves Trousset France
Javier Oliván Bescós Netherlands
Matthias John Germany
Anja Hennemuth Germany
Christian Schumann Germany
Sunil Appanaboyina United States
Gabriel Mistelbauer Austria
Rocco Gasteiger Germany
Peter J. Yim relative to Daniël Ruijters Netherlands Daniël Ruijters's profile →
Citations per field
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Daniël Ruijters · 1×
Citations per year

Countries citing papers authored by Peter J. Yim

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Yim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Yim. 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 Peter J. Yim. The network helps show where Peter J. Yim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000110
2 2002104
3 200187
4 200379
5 200145
6 200337
7 200435
8 200333
9 200325
10
Characterization of shear stress on the wall of the carotid artery using magnetic resonance imaging and computational fluid dynamics.
200522
11 200221
12 200616
13 200115
14 200212
15 199812
16 200211
17 200111
18 20009
19 20028
20 19986

About Peter J. Yim

Peter J. Yim is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Biomedical Engineering, having authored 34 papers that have together received 736 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (16 papers), Medical Image Segmentation Techniques (12 papers), Advanced MRI Techniques and Applications (9 papers), Cardiovascular Health and Disease Prevention (7 papers), MRI in cancer diagnosis (7 papers), 3D Shape Modeling and Analysis (5 papers), Advanced X-ray and CT Imaging (4 papers) and Coronary Interventions and Diagnostics (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (66 citations), Computer Vision and Pattern Recognition (266 citations), Radiology, Nuclear Medicine and Imaging (253 citations), Neurology (147 citations) and Pulmonary and Respiratory Medicine (275 citations). Peter J. Yim has collaborated with scholars based in United States, Netherlands and Taiwan. Frequent co-authors include Peter L. Choyke, Juan R. Cebral, Ronald M. Summers, Rainald Löhner, Orlando Javier Soto Sandoval, Fernando Calamante, Hani B. Marcos, Vincent B. Ho, David J. Foran and R. Mullick. Their work appears in journals such as IEEE Transactions on Medical Imaging, Academic Radiology, The Anatomical Record, Journal of Biomechanics and Magnetic Resonance in Medicine.

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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