Michalis Raptis
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Human-Computer Interaction top 2%
- Control and Systems Engineering top 10%
- Co-authors
- Stefano SoattoLeonid SigalDarko KirovskiHugues HoppeAlper AyvacıGreg MoriMakoto YamadaTian Lan
- Topics
- Human Pose and Action Recognition (8 papers)Human Motion and Animation (3 papers)Anomaly Detection Techniques and Applications (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Computer VisionHAL (Le Centre pour la Communication Scientifique Directe)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Michalis Raptis
12 papers receiving 696 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 649
- Artificial Intelligence 233
- Biomedical Engineering 159
- Human-Computer Interaction 154
- Control and Systems Engineering 126
Countries citing papers authored by Michalis Raptis
This map shows the geographic impact of Michalis Raptis'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 Michalis Raptis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michalis Raptis more than expected).
Fields of papers citing papers by Michalis Raptis
This network shows the impact of papers produced by Michalis Raptis. 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 Michalis Raptis. The network helps show where Michalis Raptis may publish in the future.
Co-authorship network of co-authors of Michalis Raptis
This figure shows the co-authorship network connecting the top 25 collaborators of Michalis Raptis. A scholar is included among the top collaborators of Michalis Raptis 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 Michalis Raptis. Michalis Raptis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | Nonparametric clustering with distance dependent hierarchies | 7 |
| 3 | 12 | |
| 4 | Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization | 14 |
| 5 | 157 | |
| 6 | 17 | |
| 7 | 171 | |
| 8 | 221 | |
| 9 | 67 | |
| 10 | Occlusion Detection and Motion Estimation with Convex Optimization | 27 |
| 11 | 10 | |
| 12 | Flexible Dictionaries for Action Classification | 10 |
About Michalis Raptis
Michalis Raptis is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 12 papers that have together received 719 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (8 papers), Human Motion and Animation (3 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (649 citations), Human-Computer Interaction (154 citations) and Artificial Intelligence (233 citations). Michalis Raptis has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Stefano Soatto, Leonid Sigal, Darko Kirovski, Hugues Hoppe, Alper Ayvacı, Greg Mori, Makoto Yamada, Tian Lan, Erik B. Sudderth and Soumya Ghosh. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and HAL (Le Centre pour la Communication Scientifique Directe).
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.