Alexei Gritai
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Co-authors
- Mubarak ShahArslan BasharatCen RaoTanveer Syeda-MahmoodYaser SheikhAbhijit MahalanobisImran N. Junejo
- Topics
- Human Pose and Action Recognition (5 papers)Gait Recognition and Analysis (4 papers)Hand Gesture Recognition Systems (3 papers)
- Journals
- International Journal of Computer VisionJournal of International Crisis and Risk Communication ResearchProceedings - International Conference on Pattern Recognition
- Partner nations
- United States
In The Last Decade
Alexei Gritai
8 papers receiving 383 citations
Peers
Comparison fields: 5 of 41
- Computer Vision and Pattern Recognition 314
- Artificial Intelligence 241
- Biomedical Engineering 88
- Computer Networks and Communications 82
- Signal Processing 55
Countries citing papers authored by Alexei Gritai
This map shows the geographic impact of Alexei Gritai'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 Alexei Gritai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexei Gritai more than expected).
Fields of papers citing papers by Alexei Gritai
This network shows the impact of papers produced by Alexei Gritai. 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 Alexei Gritai. The network helps show where Alexei Gritai may publish in the future.
Co-authorship network of co-authors of Alexei Gritai
This figure shows the co-authorship network connecting the top 25 collaborators of Alexei Gritai. A scholar is included among the top collaborators of Alexei Gritai 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 Alexei Gritai. Alexei Gritai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 260 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 28 | |
| 8 | View-invariant Alignment and Matching of Video Sequences | 84 |
About Alexei Gritai
Alexei Gritai is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 8 papers that have together received 403 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (5 papers), Gait Recognition and Analysis (4 papers) and Hand Gesture Recognition Systems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (314 citations), Artificial Intelligence (241 citations) and Human-Computer Interaction (34 citations). Alexei Gritai has collaborated with scholars based in United States. Frequent co-authors include Mubarak Shah, Arslan Basharat, Cen Rao, Tanveer Syeda-Mahmood, Yaser Sheikh, Abhijit Mahalanobis and Imran N. Junejo. Their work appears in journals such as International Journal of Computer Vision, Journal of International Crisis and Risk Communication Research and Proceedings - International Conference on Pattern Recognition.
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.