Sevan Goenezen

31 papers receiving 856 citations

Peers

Sevan Goenezen
Comparison fields: 5 of 51
  • Radiology, Nuclear Medicine and Imaging 339
  • Mathematical Physics 141
  • Biomedical Engineering 272
  • Cell Biology 63
  • Computer Vision and Pattern Recognition 98
Replace Yue Mei with:
Yue Mei China
Nachiket H. Gokhale United States
Mark L. Trew New Zealand
Raffaella Righetti United States
Christopher J. Arthurs United Kingdom
Daniel D. Streeter United States
R. Martin Arthur United States
Andrei R. Skovoroda United States
Hans C. van Assen Netherlands
Roy C. P. Kerckhoffs United States
Sevan Goenezen relative to Yue Mei China Yue Mei's profile →
Citations per field
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Yue Mei · 1×
Citations per year

Countries citing papers authored by Sevan Goenezen

Since Specialization
Citations

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

Fields of papers citing papers by Sevan Goenezen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009130
2 2012102
3 201093
4 201270
5 201159
6 201445
7 201632
8 201329
9 201825
10 201524
11 201423
12 201522
13 202122
14 201919
15 201517
16 201717
17 201717
18 201716
19 201816
20 201414

About Sevan Goenezen

Sevan Goenezen is a scholar working on Mathematical Physics, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 31 papers that have together received 861 indexed citations. Recurring topics across this work include Elasticity and Material Modeling (12 papers), Ultrasound Imaging and Elastography (11 papers), Numerical methods in inverse problems (9 papers), Optical measurement and interference techniques (7 papers), Congenital heart defects research (5 papers), Congenital Heart Disease Studies (4 papers), Contact Mechanics and Variational Inequalities (3 papers) and Advanced Numerical Methods in Computational Mathematics (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (339 citations), Mathematical Physics (141 citations), Biomedical Engineering (272 citations), Cell Biology (63 citations) and Computer Vision and Pattern Recognition (98 citations). Sevan Goenezen has collaborated with scholars based in United States, Iran and China. Frequent co-authors include Assad A. Oberai, Paul E. Barbone, Sandra Rugonyi, Timothy J. Hall, Jingfeng Jiang, Yue Mei, Monique Y. Rennie, MOHAMMAD RAHIM HEMATIYAN, Nachiket H. Gokhale and Amy M. Sommer. Their work appears in journals such as Journal of Applied Mechanics, International Journal of Mechanical Sciences, Biomechanics and Modeling in Mechanobiology, International Journal of Solids and Structures and Computer Methods in Applied Mechanics and Engineering.

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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