Ben A. Lin

763 citations
41 papers · 468 · h-index 13

Impact in

Papers in

Ben A. Lin

41 papers receiving 460 citations

Peers

Ben A. Lin
Comparison fields: 5 of 67
  • Cardiology and Cardiovascular Medicine 285
  • Radiology, Nuclear Medicine and Imaging 168
  • Internal Medicine 18
  • Computer Vision and Pattern Recognition 67
  • Complementary and alternative medicine 22
Replace Christopher Occleshaw with:
Christopher Occleshaw New Zealand
Krishnananda Nayak India
Donald A. Conetta United States
Christina Luong Canada
Leonard G. Christie United States
S. Michelle Bierig United States
Michael Pienn Austria
Lazar Velicki Serbia
Svein Arne Aase Norway
Dominique Boulmier France
Ben A. Lin relative to Christopher Occleshaw New Zealand Christopher Occleshaw's profile →
Citations per field
00.5×3.5×
Christopher Occleshaw · 1×
Citations per year

Countries citing papers authored by Ben A. Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ben A. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben A. Lin. 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 Ben A. Lin. The network helps show where Ben A. Lin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201369
2 201044
3 202333
4 202032
5 201130
6 201329
7 201423
8 201618
9 201918
10 201815
11 201215
12 202014
13 201413
14 201812
15 201911
16 201210
17 20119
18 20229
19 20198
20 20156

About Ben A. Lin

Ben A. Lin is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition and Surgery, having authored 41 papers that have together received 468 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (16 papers), Cardiovascular Function and Risk Factors (12 papers), Ultrasound Imaging and Elastography (10 papers), Advanced MRI Techniques and Applications (8 papers), Cardiac Imaging and Diagnostics (7 papers), Atrial Fibrillation Management and Outcomes (6 papers), Medical Image Segmentation Techniques (6 papers) and Elasticity and Material Modeling (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (285 citations), Radiology, Nuclear Medicine and Imaging (168 citations), Internal Medicine (18 citations), Computer Vision and Pattern Recognition (67 citations) and Complementary and alternative medicine (22 citations). Ben A. Lin has collaborated with scholars based in United States, Mexico and China. Frequent co-authors include Albert J. Sinusas, James S. Duncan, Colin B. Compas, Donald P. Dione, Lawrence H. Staib, Xenophon Papademetris, Lissa Sugeng, Smita Sampath, William S. Murphy and Frans J. Th. Wackers. Their work appears in journals such as Medical Image Analysis, Journal of the American Society of Echocardiography, Clinical Orthopaedics and Related Research, American Journal of Physiology-Heart and Circulatory Physiology and Journal of Cardiovascular Magnetic Resonance.

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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