Spyridon Thermos
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Control and Systems Engineering
- Experimental and Cognitive Psychology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Petros DarasGerasimos PotamianosAlison Q. O’NeilPedro SanchezGeorgios Th. PapadopoulosSotirios A. TsaftarisKonstantinos C. ApostolakisKosmas Dimitropoulos
- Topics
- Robot Manipulation and Learning (7 papers)Human Pose and Action Recognition (5 papers)Advanced Neural Network Applications (4 papers)
- Partner nations
- GreeceUnited Kingdom
In The Last Decade
Spyridon Thermos
15 papers receiving 134 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 72
- Artificial Intelligence 44
- Control and Systems Engineering 33
- Experimental and Cognitive Psychology 16
- Radiology, Nuclear Medicine and Imaging 15
Countries citing papers authored by Spyridon Thermos
This map shows the geographic impact of Spyridon Thermos'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 Spyridon Thermos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Spyridon Thermos more than expected).
Fields of papers citing papers by Spyridon Thermos
This network shows the impact of papers produced by Spyridon Thermos. 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 Spyridon Thermos. The network helps show where Spyridon Thermos may publish in the future.
Co-authorship network of co-authors of Spyridon Thermos
This figure shows the co-authorship network connecting the top 25 collaborators of Spyridon Thermos. A scholar is included among the top collaborators of Spyridon Thermos 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 Spyridon Thermos. Spyridon Thermos 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 | 0 | |
| 3 | 39 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 27 | |
| 13 | 8 | |
| 14 | 9 | |
| 15 | 27 | |
| 16 | ProsocialLearn: D2.5 evaluation strategy and protocols | 1 |
About Spyridon Thermos
Spyridon Thermos is a scholar working on Human-Computer Interaction, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 137 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (7 papers), Human Pose and Action Recognition (5 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (72 citations), Human-Computer Interaction (13 citations) and Health Informatics (2 citations). Spyridon Thermos has collaborated with scholars based in Greece and United Kingdom. Frequent co-authors include Petros Daras, Gerasimos Potamianos, Alison Q. O’Neil, Pedro Sanchez, Georgios Th. Papadopoulos, Sotirios A. Tsaftaris, Konstantinos C. Apostolakis, Kosmas Dimitropoulos, Athanasios Psaltis and Nikolaos Zioulis. Their work appears in journals such as IEEE Access, IEEE Transactions on Medical Imaging and Medical Image Analysis.
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.