Dorina Thanou
About
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 Perspective breakdown → | 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 |
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.