Andrey Kuznetsov
- Biomedical Engineering top 2%
- Mechanical Engineering top 2%
- Computational Mechanics top 1%
- Computer Vision and Pattern Recognition top 10%
- Geometry and Topology top 10%
- Co-authors
- D. A. NieldVladislav MyasnikovMing XiongDimitri MarkushevichA. J. Han VinckVladimir BaranovskyVictor GinzburgPing‐Hua Xiang
- Topics
- Digital Media Forensic Detection (18 papers)Cell Image Analysis Techniques (8 papers)Generative Adversarial Networks and Image Synthesis (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Information TheoryIEEE Access
- Partner nations
- RussiaUnited StatesNew Zealand
In The Last Decade
Andrey Kuznetsov
49 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Biomedical Engineering 1.3k
- Mechanical Engineering 1.1k
- Computational Mechanics 1.0k
- Computer Vision and Pattern Recognition 134
- Geometry and Topology 67
Countries citing papers authored by Andrey Kuznetsov
This map shows the geographic impact of Andrey Kuznetsov'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 Andrey Kuznetsov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrey Kuznetsov more than expected).
Fields of papers citing papers by Andrey Kuznetsov
This network shows the impact of papers produced by Andrey Kuznetsov. 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 Andrey Kuznetsov. The network helps show where Andrey Kuznetsov may publish in the future.
Co-authorship network of co-authors of Andrey Kuznetsov
This figure shows the co-authorship network connecting the top 25 collaborators of Andrey Kuznetsov. A scholar is included among the top collaborators of Andrey Kuznetsov 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 Andrey Kuznetsov. Andrey Kuznetsov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | Multichannel Image Segmentation Algorithm for Agricultural Crop Detection. | 1 |
| 6 | 5 | |
| 7 | 3 | |
| 8 | Updating the Potential of Culture in the Prevention of Corruption. | 2 |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 15 | |
| 13 | 9 | |
| 14 | 0 | |
| 15 | 26 | |
| 16 | 3 | |
| 17 | 3 | |
| 18 | 7 | |
| 19 | 33 | |
| 20 | 17 |
About Andrey Kuznetsov
Andrey Kuznetsov is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Media Technology, having authored 57 papers that have together received 1.6k indexed citations. Recurring topics across this work include Digital Media Forensic Detection (18 papers), Cell Image Analysis Techniques (8 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). The work is most often cited by research in Computational Mechanics (1.0k citations), Mechanical Engineering (1.1k citations) and Biomedical Engineering (1.3k citations). Andrey Kuznetsov has collaborated with scholars based in Russia, United States and New Zealand. Frequent co-authors include D. A. Nield, Vladislav Myasnikov, Ming Xiong, Dimitri Markushevich, A. J. Han Vinck, Vladimir Baranovsky, Victor Ginzburg, Ping‐Hua Xiang, Abdel‐Fattah M. Seyam and Mukesh Singh Boori. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and IEEE Access.
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.