Dorina Thanou

2.4k total citations · 2 hit papers
34 papers, 1.2k citations indexed

About

Dorina Thanou is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dorina Thanou has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 14 papers in Statistical and Nonlinear Physics and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dorina Thanou's work include Advanced Graph Neural Networks (18 papers), Complex Network Analysis Techniques (14 papers) and Cardiac Imaging and Diagnostics (5 papers). Dorina Thanou is often cited by papers focused on Advanced Graph Neural Networks (18 papers), Complex Network Analysis Techniques (14 papers) and Cardiac Imaging and Diagnostics (5 papers). Dorina Thanou collaborates with scholars based in Switzerland, United States and Belgium. Dorina Thanou's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Signal Processing and IEEE Signal Processing Magazine.

In The Last Decade

Dorina Thanou

32 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Learning Laplacian Matrix in Smooth Graph Signal Representations

2016 362 citations Xiaowen Dong, Dorina Thanou et al. IEEE Transactions on Signal Processing profile →
Learning Graphs From Data: A Signal Representation Perspective

2019 249 citations Xiaowen Dong, Dorina Thanou et al. IEEE Signal Processing Magazine profile →

Peers

Dorina Thanou

AI

SNP

CVPR

CNC

CM

Rohan Varma United States

Yoshinobu Kawahara Japan

Yanning Shen United States

Andreas Loukas Netherlands

Daniel Dunlavy United States

Lifeng Wang China

Nicolas Tremblay France

Olivier Delalleau Canada

Deli Zhao China

Rohan Varma United States

Dorina Thanou

575 ×0.7

AI

260 ×0.6

SNP

201 ×0.9

CVPR

174 ×1.2

CNC

91 ×0.7

CM

Citations per year, relative to Dorina Thanou Dorina Thanou (= 1×) peers Rohan Varma

Countries citing papers authored by Dorina Thanou

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Starke, Georg, et al.. (2025). Machine Learning–Based Patient Preference Prediction: A Proof of Concept. NEJM AI. 2(10). 3 indexed citations

2.

Rotzinger, David C., Salah D. Qanadli, Olivier Müller, et al.. (2025). AI-Driven multi-view learning from CCTA for myocardial infarction diagnosis. The International Journal of Cardiovascular Imaging. 42(3). 543–549.

3.

Mahendiran, Thabo, Dorina Thanou, Bernard De Bruyne, et al.. (2024). AngioPy Segmentation: An open-source, user-guided deep learning tool for coronary artery segmentation. International Journal of Cardiology. 418. 132598–132598. 2 indexed citations

4.

Sun, Xiaowu, Emmanuel Abbé, Pascal Frossard, et al.. (2024). Graph Neural Network based Future Clinical Events Prediction from Invasive Coronary Angiography. 1–5.

5.

Mahendiran, Thabo, David Nanchen, Stéphane Fournier, et al.. (2024). Anatomy-Informed Multimodal Learning for Myocardial Infarction Prediction. IEEE Open Journal of Engineering in Medicine and Biology. 5. 837–845. 2 indexed citations

6.

Skalidis, Ioannis, David Meier, Dorina Thanou, et al.. (2023). Towards AI-assisted cardiology: a reflection on the performance and limitations of using large language models in clinical decision-making. EuroIntervention. 19(10). e798–e801. 12 indexed citations

7.

Mahendiran, Thabo, Dorina Thanou, David Meier, et al.. (2023). Deep learning-based prediction of future myocardial infarction using invasive coronary angiography: a feasibility study. Open Heart. 10(1). e002237–e002237. 13 indexed citations

8.

Thanou, Dorina, et al.. (2021). Combining anatomical and functional networks for neuropathology identification: A case study on autism spectrum disorder. Medical Image Analysis. 69. 101986–101986. 28 indexed citations

9.

Thanou, Dorina, et al.. (2021). Interpretable Stability Bounds for Spectral Graph Filters. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 139. 5388–5397. 5 indexed citations

10.

Thanou, Dorina, et al.. (2020). On The Stability of Polynomial Spectral Graph Filters. 5350–5354. 12 indexed citations

11.

Dong, Xiaowen, Dorina Thanou, Laura Toni, Michael M. Bronstein, & Pascal Frossard. (2020). Graph Signal Processing for Machine Learning: A Review and New Perspectives. IEEE Signal Processing Magazine. 37(6). 117–127. 110 indexed citations

12.

Thanou, Dorina, et al.. (2020). Mask Combination of Multi-Layer Graphs for Global Structure Inference. IEEE Transactions on Signal and Information Processing over Networks. 6. 394–406. 6 indexed citations

13.

Dong, Xiaowen, Dorina Thanou, Michael Rabbat, & Pascal Frossard. (2019). Learning Graphs From Data: A Signal Representation Perspective. IEEE Signal Processing Magazine. 36(3). 44–63. 249 indexed citations breakdown →

14.

Thanou, Dorina, et al.. (2017). Graph learning under sparsity priors. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 17 indexed citations

15.

Thanou, Dorina, et al.. (2017). Learning sparse models of diffusive graph signals. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations

16.

Fracastoro, Giulia, Dorina Thanou, & Pascal Frossard. (2017). Graph-based Transform Coding with Application to Image Compression. arXiv (Cornell University). 2 indexed citations

17.

Kalofolias, Vassilis, Andreas Loukas, Dorina Thanou, & Pascal Frossard. (2017). Learning time varying graphs. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2826–2830. 48 indexed citations

18.

Dong, Xiaowen, Dorina Thanou, Pascal Frossard, & Pierre Vandergheynst. (2014). Learning Graphs from Signal Observations under Smoothness Prior.. arXiv (Cornell University). 9 indexed citations

19.

Thanou, Dorina, David I Shuman, & Pascal Frossard. (2014). Learning Parametric Dictionaries for Signals on Graphs. IEEE Transactions on Signal Processing. 62(15). 3849–3862. 74 indexed citations

20.

Thanou, Dorina, Effrosyni Kokiopoulou, & Pascal Frossard. (2012). Progressive quantization in distributed average consensus. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2677–2680. 5 indexed citations

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.

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