Vladimir Zagrodsky
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- Medical Image Segmentation Techniques 7
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- Medical Imaging Techniques and Applications 5
- Advanced MRI Techniques and Applications 5
- Cardiac Imaging and Diagnostics 3
- Radiation top 10%
- Advanced Radiotherapy Techniques 3
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- Cardiac Valve Diseases and Treatments 3
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- Medical Imaging and Analysis 3
- Elasticity and Material Modeling 2
Vladimir Zagrodsky
15 papers receiving 389 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 233
- Radiology, Nuclear Medicine and Imaging 240
- Radiation 38
- Computer Graphics and Computer-Aided Design 12
- Cardiology and Cardiovascular Medicine 72
Countries citing papers authored by Vladimir Zagrodsky
This map shows the geographic impact of Vladimir Zagrodsky'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 Vladimir Zagrodsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir Zagrodsky more than expected).
Fields of papers citing papers by Vladimir Zagrodsky
This network shows the impact of papers produced by Vladimir Zagrodsky. 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 Vladimir Zagrodsky. The network helps show where Vladimir Zagrodsky may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Vladimir Zagrodsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 4 | |
| 2 | 2006 | 0 | |
| 3 | 2006 | 12 | |
| 4 | 2005 | 62 | |
| 5 | 2005 | 8 | |
| 6 | Automated 3-dimensional elastic registration of whole-body PET and CT from separate or combined scanners. | 2005 | 63 |
| 7 | 2004 | 40 | |
| 8 | 2004 | 5 | |
| 9 | 2004 | 2 | |
| 10 | 2003 | 26 | |
| 11 | 2003 | 9 | |
| 12 | 2003 | 23 | |
| 13 | 2002 | 133 | |
| 14 | 2002 | 1 | |
| 15 | 2001 | 7 | |
| 16 | 2000 | 10 |
About Vladimir Zagrodsky
Vladimir Zagrodsky is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Radiation, Computer Graphics and Computer-Aided Design and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 405 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Medical Imaging Techniques and Applications (5 papers), Advanced MRI Techniques and Applications (5 papers), Cardiac Valve Diseases and Treatments (3 papers), Medical Imaging and Analysis (3 papers), Cardiac Imaging and Diagnostics (3 papers), Advanced Radiotherapy Techniques (3 papers) and Elasticity and Material Modeling (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (233 citations), Radiology, Nuclear Medicine and Imaging (240 citations), Radiation (38 citations), Computer Graphics and Computer-Aided Design (12 citations) and Cardiology and Cardiovascular Medicine (72 citations). Vladimir Zagrodsky has collaborated with scholars based in United States. Frequent co-authors include Raj Shekhar, Vivek Walimbe, James D. Thomas, Shanker Raja, Bohdan Bybel, Jong‐Min Song, Mario J. García, Jian Qin, Guiyun Wu and J. Fredrick Cornhill. Their work appears in journals such as IEEE Transactions on Medical Imaging, Ultrasound in Medicine & Biology, Radiographics, International journal of cardiac imaging and Studies in health technology and informatics.
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.