Stavros Tsogkas
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Neurology
- Aerospace Engineering
- Co-authors
- Sven DickinsonIasonas KokkinosSamuel KadouryNikos ParagiosSarah LippéEnzo FerranteMahsa ShakeriAndrea Vedaldi
- Topics
- Advanced Neural Network Applications (5 papers)Advanced Image and Video Retrieval Techniques (4 papers)Image Processing and 3D Reconstruction (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionNeurologyComputer Graphics and Computer-Aided Design
- Journals
- International Journal of Computer VisionarXiv (Cornell University)SPIRE - Sciences Po Institutional REpository
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Stavros Tsogkas
10 papers receiving 247 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 191
- Artificial Intelligence 55
- Radiology, Nuclear Medicine and Imaging 38
- Neurology 31
- Aerospace Engineering 30
Countries citing papers authored by Stavros Tsogkas
This map shows the geographic impact of Stavros Tsogkas'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 Stavros Tsogkas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stavros Tsogkas more than expected).
Fields of papers citing papers by Stavros Tsogkas
This network shows the impact of papers produced by Stavros Tsogkas. 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 Stavros Tsogkas. The network helps show where Stavros Tsogkas may publish in the future.
Co-authorship network of co-authors of Stavros Tsogkas
This figure shows the co-authorship network connecting the top 25 collaborators of Stavros Tsogkas. A scholar is included among the top collaborators of Stavros Tsogkas 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 Stavros Tsogkas. Stavros Tsogkas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 14 | |
| 3 | 6 | |
| 4 | 33 | |
| 5 | 32 | |
| 6 | 20 | |
| 7 | 69 | |
| 8 | Semantic Part Segmentation with Deep Learning. | 13 |
| 9 | 50 | |
| 10 | 11 |
About Stavros Tsogkas
Stavros Tsogkas is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Biophysics, having authored 10 papers that have together received 250 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Image Processing and 3D Reconstruction (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (191 citations), Neurology (31 citations) and Computer Graphics and Computer-Aided Design (8 citations). Stavros Tsogkas has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Sven Dickinson, Iasonas Kokkinos, Samuel Kadoury, Nikos Paragios, Sarah Lippé, Enzo Ferrante, Mahsa Shakeri, Andrea Vedaldi, Yukang Wang and Xiang Bai. Their work appears in journals such as International Journal of Computer Vision, arXiv (Cornell University) and SPIRE - Sciences Po Institutional REpository.
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.