Dorina Thanou
- Artificial Intelligence top 2%
- Statistical and Nonlinear Physics top 2%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Computational Mechanics top 10%
- Co-authors
- Pascal FrossardXiaowen DongPierre VandergheynstMichael RabbatDavid I ShumanMichael M. BronsteinLaura ToniEffrosyni Kokiopoulou
- Topics
- Advanced Graph Neural Networks (18 papers)Complex Network Analysis Techniques (14 papers)Cardiac Imaging and Diagnostics (5 papers)
- Journals
- Proceedings of the National Academy of SciencesIEEE Transactions on Signal ProcessingIEEE Signal Processing Magazine
- Partner nations
- SwitzerlandUnited StatesBelgium
In The Last Decade
Dorina Thanou
32 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 775
- Statistical and Nonlinear Physics 426
- Computer Vision and Pattern Recognition 220
- Computer Networks and Communications 147
- Computational Mechanics 140
Countries citing papers authored by Dorina Thanou
This map shows the geographic impact of Dorina Thanou'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 Dorina Thanou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dorina Thanou more than expected).
Fields of papers citing papers by Dorina Thanou
This network shows the impact of papers produced by Dorina Thanou. 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 Dorina Thanou. The network helps show where Dorina Thanou may publish in the future.
Co-authorship network of co-authors of Dorina Thanou
This figure shows the co-authorship network connecting the top 25 collaborators of Dorina Thanou. A scholar is included among the top collaborators of Dorina Thanou 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 Dorina Thanou. Dorina Thanou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 13 | |
| 8 | 28 | |
| 9 | Interpretable Stability Bounds for Spectral Graph Filters | 5 |
| 10 | 12 | |
| 11 | 110 | |
| 12 | 6 | |
| 13 | Learning Graphs From Data: A Signal Representation Perspectivebreakdown → | 249 |
| 14 | 17 | |
| 15 | Learning sparse models of diffusive graph signals | 1 |
| 16 | Graph-based Transform Coding with Application to Image Compression | 2 |
| 17 | 48 | |
| 18 | Learning Graphs from Signal Observations under Smoothness Prior. | 9 |
| 19 | 74 | |
| 20 | 5 |
About Dorina Thanou
Dorina Thanou is a scholar working on Statistical and Nonlinear Physics, Health Informatics and Artificial Intelligence, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (18 papers), Complex Network Analysis Techniques (14 papers) and Cardiac Imaging and Diagnostics (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (426 citations), Artificial Intelligence (775 citations) and Computational Mathematics (13 citations). Dorina Thanou has collaborated with scholars based in Switzerland, United States and Belgium. Frequent co-authors include Pascal Frossard, Xiaowen Dong, Pierre Vandergheynst, Michael Rabbat, David I Shuman, Michael M. Bronstein, Laura Toni, Effrosyni Kokiopoulou, Andreas Loukas and Vassilis Kalofolias. Their work appears in journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Signal Processing and IEEE Signal Processing Magazine.
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.