С. П. Морозов
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering
- Dermatology top 5%
- Neurology top 10%
- Health Informatics top 1%
- Co-authors
- Victor А. GombolevskiyAnton V. VladzymyrskyyIvan A. BlokhinValeria CherninaAnna AndreychenkoRobert H. GotkinSebastian CotofanaPavel Gelezhe
- Topics
- Radiomics and Machine Learning in Medical Imaging (28 papers)Healthcare Systems and Public Health (22 papers)COVID-19 diagnosis using AI (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsPlastic & Reconstructive Surgery
- Partner nations
- RussiaCzechiaUnited States
In The Last Decade
С. П. Морозов
101 papers receiving 661 citations
Peers
Comparison fields: 5 of 99
- Radiology, Nuclear Medicine and Imaging 344
- Biomedical Engineering 140
- Dermatology 131
- Neurology 116
- Health Informatics 112
Countries citing papers authored by С. П. Морозов
This map shows the geographic impact of С. П. Морозов'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 С. П. Морозов with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites С. П. Морозов more than expected).
Fields of papers citing papers by С. П. Морозов
This network shows the impact of papers produced by С. П. Морозов. 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 С. П. Морозов. The network helps show where С. П. Морозов may publish in the future.
Co-authorship network of co-authors of С. П. Морозов
This figure shows the co-authorship network connecting the top 25 collaborators of С. П. Морозов. A scholar is included among the top collaborators of С. П. Морозов 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 С. П. Морозов. С. П. Морозов is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 15 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 3 | |
| 11 | 65 | |
| 12 | 15 | |
| 13 | 10 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 9 | |
| 18 | 0 | |
| 19 | 2 | |
| 20 | 0 |
About С. П. Морозов
С. П. Морозов is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Anatomy, having authored 123 papers that have together received 721 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (28 papers), Healthcare Systems and Public Health (22 papers) and COVID-19 diagnosis using AI (20 papers). The work is most often cited by research in Health Informatics (112 citations), Radiology, Nuclear Medicine and Imaging (344 citations) and Dermatology (131 citations). С. П. Морозов has collaborated with scholars based in Russia, Czechia and United States. Frequent co-authors include Victor А. Gombolevskiy, Anton V. Vladzymyrskyy, Ivan A. Blokhin, Valeria Chernina, Anna Andreychenko, Robert H. Gotkin, Sebastian Cotofana, Pavel Gelezhe, Konstantin Frank and Nikolay Pavlov. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Plastic & Reconstructive Surgery.
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.