Mikhail Sizintsev
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering
- Artificial Intelligence
- Human-Computer Interaction top 10%
- Biomedical Engineering
- Co-authors
- Richard P. WildesKonstantinos G. DerpanisKevin CannonsAndrew HogueSupun SamarasekeraRakesh KumarTaragay OskiperVlad Branzoi
- Topics
- Advanced Vision and Imaging (13 papers)Robotics and Sensor-Based Localization (11 papers)Augmented Reality Applications (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Computer VisionIEEE Transactions on Visualization and Computer Graphics
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Mikhail Sizintsev
23 papers receiving 339 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 308
- Aerospace Engineering 72
- Artificial Intelligence 62
- Human-Computer Interaction 37
- Biomedical Engineering 31
Countries citing papers authored by Mikhail Sizintsev
This map shows the geographic impact of Mikhail Sizintsev'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 Mikhail Sizintsev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Sizintsev more than expected).
Fields of papers citing papers by Mikhail Sizintsev
This network shows the impact of papers produced by Mikhail Sizintsev. 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 Mikhail Sizintsev. The network helps show where Mikhail Sizintsev may publish in the future.
Co-authorship network of co-authors of Mikhail Sizintsev
This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Sizintsev. A scholar is included among the top collaborators of Mikhail Sizintsev 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 Mikhail Sizintsev. Mikhail Sizintsev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 15 | |
| 5 | 8 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 16 | |
| 9 | 4 | |
| 10 | 8 | |
| 11 | 50 | |
| 12 | 18 | |
| 13 | 68 | |
| 14 | 26 | |
| 15 | 20 | |
| 16 | 15 | |
| 17 | 30 | |
| 18 | 12 | |
| 19 | 28 | |
| 20 | 3 |
About Mikhail Sizintsev
Mikhail Sizintsev is a scholar working on Computer Vision and Pattern Recognition, Geology and Aerospace Engineering, having authored 24 papers that have together received 356 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (13 papers), Robotics and Sensor-Based Localization (11 papers) and Augmented Reality Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (308 citations), Human-Computer Interaction (37 citations) and Media Technology (29 citations). Mikhail Sizintsev has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Richard P. Wildes, Konstantinos G. Derpanis, Kevin Cannons, Andrew Hogue, Supun Samarasekera, Rakesh Kumar, Taragay Oskiper, Vlad Branzoi, Simon J. D. Prince and James H. Elder. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Transactions on Visualization and Computer Graphics.
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.