Vassili Kovalev
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 10%
- Cognitive Neuroscience top 10%
- Biophysics top 5%
- Co-authors
- Frithjof KruggelD. Yves von CramonΜαρία ΠέτρουH.-J. GertzM. PetrouMehdi AlilouAchim KöhlerAlexander Kalinovsky
- Topics
- Medical Image Segmentation Techniques (14 papers)AI in cancer detection (14 papers)Radiomics and Machine Learning in Medical Imaging (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaBiomaterialsNeuroImage
- Partner nations
- BelarusUnited KingdomGermany
In The Last Decade
Vassili Kovalev
52 papers receiving 780 citations
Peers
Comparison fields: 5 of 124
- Computer Vision and Pattern Recognition 339
- Radiology, Nuclear Medicine and Imaging 264
- Artificial Intelligence 186
- Cognitive Neuroscience 108
- Biophysics 89
Countries citing papers authored by Vassili Kovalev
This map shows the geographic impact of Vassili Kovalev'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 Vassili Kovalev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vassili Kovalev more than expected).
Fields of papers citing papers by Vassili Kovalev
This network shows the impact of papers produced by Vassili Kovalev. 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 Vassili Kovalev. The network helps show where Vassili Kovalev may publish in the future.
Co-authorship network of co-authors of Vassili Kovalev
This figure shows the co-authorship network connecting the top 25 collaborators of Vassili Kovalev. A scholar is included among the top collaborators of Vassili Kovalev 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 Vassili Kovalev. Vassili Kovalev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 2 | |
| 3 | 64 | |
| 4 | Overview of ImageCLEFtuberculosis 2021 - CT-based Tuberculosis Type Classification | 3 |
| 5 | Overview of ImageCLEFtuberculosis 2020 Automatic CT-based Report Generation. | 1 |
| 6 | 0 | |
| 7 | Experimental assessment of аdversarial attacks to the deep neural networks in medical image recognition | 1 |
| 8 | Overview of ImageCLEFtuberculosis 2019 - Automatic CT-based Report Generation and Tuberculosis Severity Assessment. | 16 |
| 9 | 5 | |
| 10 | Overview of ImageCLEFtuberculosis 2018 - Detecting Multi-Drug Resistance, Classifying Tuberculosis Types and Assessing Severity Scores. | 11 |
| 11 | ImageCLEF 2018: Lesion-based TB-descriptor for CT Image Analysis. | 4 |
| 12 | Overview of the ImageCLEF 2017 Tuberculosis Task - Predicting Tuberculosis Type and Drug Resistances. | 5 |
| 13 | 7 | |
| 14 | 23 | |
| 15 | 15 | |
| 16 | 0 | |
| 17 | 5 | |
| 18 | 18 | |
| 19 | Non-rigid Volume Registration of Medical Images | 5 |
| 20 | 2 |
About Vassili Kovalev
Vassili Kovalev is a scholar working on Biophysics, Anatomy and Computer Vision and Pattern Recognition, having authored 59 papers that have together received 830 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (14 papers), AI in cancer detection (14 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (339 citations), Biophysics (89 citations) and Radiology, Nuclear Medicine and Imaging (264 citations). Vassili Kovalev has collaborated with scholars based in Belarus, United Kingdom and Germany. Frequent co-authors include Frithjof Kruggel, D. Yves von Cramon, Μαρία Πέτρου, H.-J. Gertz, M. Petrou, Mehdi Alilou, Achim Köhler, Alexander Kalinovsky, Volha Shapaval and А. Ya. Grigoriev. Their work appears in journals such as SHILAP Revista de lepidopterología, Biomaterials and NeuroImage.
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.