Alexia Briassouli
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Biomedical Engineering
- Co-authors
- Ioannis KompatsiarisM.G. StrintzisNarendra AhujaPanagiotis TsakalidesT. StouraitisKonstantinos AvgerinakisLeontios J. HadjileontiadisPierre Moulin
- Topics
- Video Surveillance and Tracking Methods (23 papers)Human Pose and Action Recognition (16 papers)Advanced Vision and Imaging (14 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceMonthly Notices of the Royal Astronomical SocietyIEEE Transactions on Image Processing
- Partner nations
- GreeceUnited StatesNetherlands
In The Last Decade
Alexia Briassouli
55 papers receiving 704 citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 599
- Artificial Intelligence 248
- Computer Networks and Communications 98
- Signal Processing 72
- Biomedical Engineering 54
Countries citing papers authored by Alexia Briassouli
This map shows the geographic impact of Alexia Briassouli'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 Alexia Briassouli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexia Briassouli more than expected).
Fields of papers citing papers by Alexia Briassouli
This network shows the impact of papers produced by Alexia Briassouli. 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 Alexia Briassouli. The network helps show where Alexia Briassouli may publish in the future.
Co-authorship network of co-authors of Alexia Briassouli
This figure shows the co-authorship network connecting the top 25 collaborators of Alexia Briassouli. A scholar is included among the top collaborators of Alexia Briassouli 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 Alexia Briassouli. Alexia Briassouli 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 | 2 | |
| 3 | 5 | |
| 4 | Deep Learning for Robust end-to-end Tone Mapping | 13 |
| 5 | 30 | |
| 6 | 2 | |
| 7 | 97 | |
| 8 | 12 | |
| 9 | 2 | |
| 10 | 13 | |
| 11 | 17 | |
| 12 | 0 | |
| 13 | 45 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 95 | |
| 18 | 4 | |
| 19 | 93 | |
| 20 | 17 |
About Alexia Briassouli
Alexia Briassouli is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 56 papers that have together received 735 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (23 papers), Human Pose and Action Recognition (16 papers) and Advanced Vision and Imaging (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (599 citations), Artificial Intelligence (248 citations) and Signal Processing (72 citations). Alexia Briassouli has collaborated with scholars based in Greece, United States and Netherlands. Frequent co-authors include Ioannis Kompatsiaris, M.G. Strintzis, Narendra Ahuja, Panagiotis Tsakalides, T. Stouraitis, Konstantinos Avgerinakis, M.G. Strintzis, Leontios J. Hadjileontiadis, Pierre Moulin and Vasileios Mezaris. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Monthly Notices of the Royal Astronomical Society and IEEE Transactions on Image Processing.
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.