Denis P. Shamonin
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Cardiology and Cardiovascular Medicine
- Co-authors
- Berend C. StoelMarius StaringJan StolkJohan H. C. ReiberChangyan XiaoJan‐Willem M. BeenakkerRob J. van der GeestYaonan Wang
- Topics
- Medical Image Segmentation Techniques (5 papers)Medical Imaging Techniques and Applications (4 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsComputer Vision and Pattern Recognition
- Partner nations
- NetherlandsChinaUnited Kingdom
In The Last Decade
Denis P. Shamonin
21 papers receiving 833 citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Radiology, Nuclear Medicine and Imaging 441
- Computer Vision and Pattern Recognition 207
- Biomedical Engineering 170
- Pulmonary and Respiratory Medicine 146
- Cardiology and Cardiovascular Medicine 85
Countries citing papers authored by Denis P. Shamonin
This map shows the geographic impact of Denis P. Shamonin'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 Denis P. Shamonin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denis P. Shamonin more than expected).
Fields of papers citing papers by Denis P. Shamonin
This network shows the impact of papers produced by Denis P. Shamonin. 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 Denis P. Shamonin. The network helps show where Denis P. Shamonin may publish in the future.
Co-authorship network of co-authors of Denis P. Shamonin
This figure shows the co-authorship network connecting the top 25 collaborators of Denis P. Shamonin. A scholar is included among the top collaborators of Denis P. Shamonin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Denis P. Shamonin. Denis P. Shamonin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | 10 | |
| 8 | 13 | |
| 9 | 117 | |
| 10 | 13 | |
| 11 | 9 | |
| 12 | 34 | |
| 13 | 44 | |
| 14 | Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's diseasebreakdown → | 438 |
| 15 | 50 | |
| 16 | 1 | |
| 17 | 8 | |
| 18 | 1 | |
| 19 | 58 | |
| 20 | 8 |
About Denis P. Shamonin
Denis P. Shamonin is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 842 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), Medical Imaging Techniques and Applications (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (441 citations), Health Informatics (17 citations) and Computer Vision and Pattern Recognition (207 citations). Denis P. Shamonin has collaborated with scholars based in Netherlands, China and United Kingdom. Frequent co-authors include Berend C. Stoel, Marius Staring, Jan Stolk, Johan H. C. Reiber, Changyan Xiao, Jan‐Willem M. Beenakker, Rob J. van der Geest, Yaonan Wang, Margreet Bakker and Andrew Webb. Their work appears in journals such as Radiology, IEEE Transactions on Image Processing and Annals of the Rheumatic Diseases.
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.