Thomas Skordas
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Artificial Intelligence
- Signal Processing
- Computational Theory and Mathematics
- Topics
- Advanced Vision and Imaging (6 papers)Robotics and Sensor-Based Localization (4 papers)Video Surveillance and Tracking Methods (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionAerospace EngineeringComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceCommunications of the ACMInternational Journal of Computer Vision
- Partner nations
- France
In The Last Decade
Thomas Skordas
10 papers receiving 271 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 247
- Aerospace Engineering 117
- Artificial Intelligence 57
- Signal Processing 28
- Computational Theory and Mathematics 27
Countries citing papers authored by Thomas Skordas
This map shows the geographic impact of Thomas Skordas'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 Thomas Skordas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Skordas more than expected).
Fields of papers citing papers by Thomas Skordas
This network shows the impact of papers produced by Thomas Skordas. 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 Thomas Skordas. The network helps show where Thomas Skordas may publish in the future.
Co-authorship network of co-authors of Thomas Skordas
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Skordas. A scholar is included among the top collaborators of Thomas Skordas 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 Thomas Skordas. Thomas Skordas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 52 | |
| 8 | 18 | |
| 9 | Building 3-D Edge-Lines Tracked in an Image Sequence | 4 |
| 10 | 219 | |
| 11 | Planning a Strategy for Recognizing Partially Occluded Parts | 5 |
About Thomas Skordas
Thomas Skordas is a scholar working on Computer Vision and Pattern Recognition, Geology and Aerospace Engineering, having authored 11 papers that have together received 312 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Robotics and Sensor-Based Localization (4 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (247 citations), Aerospace Engineering (117 citations) and Computer Graphics and Computer-Aided Design (14 citations). Thomas Skordas has collaborated with scholars based in France. Frequent co-authors include Radu Horaud, Pierre Puget, James L. Crowley, P. Puget and Nicholas Ayache. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Communications of the ACM and International Journal of Computer Vision.
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.