Ivan Ezhov
Impact in
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Radiomics and Machine Learning in Medical Imaging 6
- Optical Imaging and Spectroscopy Techniques 5
- Medical Imaging Techniques and Applications 3
- Co-authors
- Bjoern Menze (16 shared papers)A. V. Skorokhod (1 shared paper)Benedikt Wiestler (10 shared papers)Suprosanna Shit (13 shared papers)Florian Kofler (6 shared papers)Johannes C. Paetzold (10 shared papers)Jana Lipková (5 shared papers)Claus Zimmer (5 shared papers)
- Journals
- Journal of Biomedical Optics (3 papers)IEEE Transactions on Medical Imaging (3 papers)Frontiers in Neuroscience (2 papers)Medical Image Analysis (2 papers)Ukrainian Mathematical Journal (11 papers)
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
Ivan Ezhov
37 papers receiving 300 citations
Peers
Comparison fields: 5 of 73
- Health Informatics 8
- Radiology, Nuclear Medicine and Imaging 127
- Modeling and Simulation 24
- Neurology 34
- Management Information Systems 35
Countries citing papers authored by Ivan Ezhov
This map shows the geographic impact of Ivan Ezhov'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 Ivan Ezhov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Ezhov more than expected).
Fields of papers citing papers by Ivan Ezhov
This network shows the impact of papers produced by Ivan Ezhov. 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 Ivan Ezhov. The network helps show where Ivan Ezhov may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Ezhov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 61 | |
| 2 | 2021 | 61 | |
| 3 | 1969 | 29 | |
| 4 | 2022 | 14 | |
| 5 | 2023 | 14 | |
| 6 | 2022 | 14 | |
| 7 | 2021 | 13 | |
| 8 | 1971 | 11 | |
| 9 | 1983 | 10 | |
| 10 | 2024 | 7 | |
| 11 | 2024 | 7 | |
| 12 | 2007 | 7 | |
| 13 | 2016 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 1998 | 6 | |
| 16 | 1977 | 6 | |
| 17 | 2001 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 1966 | 4 | |
| 20 | 2023 | 4 |
About Ivan Ezhov
Ivan Ezhov is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Mathematical Physics, Management Information Systems and Computer Vision and Pattern Recognition, having authored 43 papers that have together received 331 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Optical Imaging and Spectroscopy Techniques (5 papers), advanced mathematical theories (4 papers), Mathematical Biology Tumor Growth (4 papers), Medical Imaging Techniques and Applications (3 papers), Stochastic processes and financial applications (3 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Health Informatics (8 citations), Radiology, Nuclear Medicine and Imaging (127 citations), Modeling and Simulation (24 citations), Neurology (34 citations) and Management Information Systems (35 citations). Ivan Ezhov has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Bjoern Menze, A. V. Skorokhod, Benedikt Wiestler, Suprosanna Shit, Florian Kofler, Johannes C. Paetzold, Jana Lipková, Claus Zimmer, Jan S. Kirschke and Christoph Berger. Their work appears in journals such as Journal of Biomedical Optics, IEEE Transactions on Medical Imaging, Frontiers in Neuroscience, Medical Image Analysis and Ukrainian Mathematical Journal.
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.