Roula Nassif

750 total citations
28 papers, 403 citations indexed

About

Roula Nassif is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Roula Nassif has authored 28 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 14 papers in Artificial Intelligence and 9 papers in Computational Mechanics. Recurrent topics in Roula Nassif's work include Distributed Control Multi-Agent Systems (10 papers), Sparse and Compressive Sensing Techniques (7 papers) and Advanced Adaptive Filtering Techniques (7 papers). Roula Nassif is often cited by papers focused on Distributed Control Multi-Agent Systems (10 papers), Sparse and Compressive Sensing Techniques (7 papers) and Advanced Adaptive Filtering Techniques (7 papers). Roula Nassif collaborates with scholars based in France, Switzerland and United States. Roula Nassif's co-authors include Ali H. Sayed, Cédric Richard, Stefan Vlaski, André Ferrari, Jie Chen, Haiyan Wang, Vincenzo Matta, Pascal Frossard, Marc Antonini and Cédric Richard and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and IEEE Signal Processing Magazine.

In The Last Decade

Roula Nassif

22 papers receiving 401 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Roula Nassif France 13 203 199 156 116 50 28 403
Stefan Vlaski Switzerland 12 187 0.9× 113 0.6× 165 1.1× 52 0.4× 46 0.9× 44 372
Paul Tune Australia 12 254 1.3× 57 0.3× 115 0.7× 38 0.3× 113 2.3× 27 331
Mario Coutiño Netherlands 9 60 0.3× 52 0.3× 160 1.0× 40 0.3× 43 0.9× 41 284
Oğuzhan Teke United States 9 49 0.2× 85 0.4× 184 1.2× 41 0.4× 40 0.8× 28 325
Guolong Su United States 6 212 1.0× 133 0.7× 29 0.2× 127 1.1× 85 1.7× 13 408
Dalton S. Arantes Brazil 11 138 0.7× 45 0.2× 89 0.6× 92 0.8× 255 5.1× 73 403
Roberto Pagliari United States 9 270 1.3× 28 0.1× 88 0.6× 32 0.3× 70 1.4× 19 334
G. Picchi Italy 7 43 0.2× 141 0.7× 123 0.8× 280 2.4× 213 4.3× 25 405
Saeid Haghighatshoar Germany 11 102 0.5× 77 0.4× 52 0.3× 72 0.6× 308 6.2× 31 417
G.C. O'Leary United States 10 64 0.3× 29 0.1× 185 1.2× 227 2.0× 27 0.5× 16 328

Countries citing papers authored by Roula Nassif

Since Specialization
Citations

This map shows the geographic impact of Roula Nassif'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 Roula Nassif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roula Nassif more than expected).

Fields of papers citing papers by Roula Nassif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roula Nassif. 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 Roula Nassif. The network helps show where Roula Nassif may publish in the future.

Co-authorship network of co-authors of Roula Nassif

This figure shows the co-authorship network connecting the top 25 collaborators of Roula Nassif. A scholar is included among the top collaborators of Roula Nassif 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 Roula Nassif. Roula Nassif is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Antonini, Marc, et al.. (2025). Sparsity-based regularization for learning over multitask graphs. SPIRE - Sciences Po Institutional REpository. 1–5.
2.
Nassif, Roula, et al.. (2024). Anomaly Detection in Graph Signals With Complex Wavelet Packet Correlation Mining. IEEE Transactions on Circuits and Systems I Regular Papers. 72(7). 3450–3463. 1 indexed citations
3.
Nassif, Roula, et al.. (2024). Noise-Assisted Graph Multivariate Empirical Mode Decomposition With Non-Uniform Projections. IEEE Transactions on Circuits and Systems I Regular Papers. 72(4). 1707–1717.
4.
Nassif, Roula, et al.. (2024). Matching centralized learning performance via compressed decentralized learning with error feedback. SPIRE - Sciences Po Institutional REpository. 431–435.
5.
Nassif, Roula, et al.. (2024). Differential Error Feedback for Communication-Efficient Decentralized Optimization. SPIRE - Sciences Po Institutional REpository. 1–5. 3 indexed citations
6.
Nassif, Roula, Soummya Kar, & Stefan Vlaski. (2024). Learning Dynamics of Low-Precision Clipped SGD with Momentum. SPIRE - Sciences Po Institutional REpository. 6075–6079.
7.
Nassif, Roula, et al.. (2023). Quantization for Decentralized Learning Under Subspace Constraints. IEEE Transactions on Signal Processing. 71. 2320–2335. 21 indexed citations
8.
Nassif, Roula, et al.. (2022). Finite Bit Quantization for Decentralized Learning Under Subspace Constraints. 2022 30th European Signal Processing Conference (EUSIPCO). 1851–1855. 3 indexed citations
9.
Nassif, Roula, Stefan Vlaski, & Ali H. Sayed. (2020). Adaptation and Learning Over Networks Under Subspace Constraints & x2014;Part II: Performance Analysis. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 12 indexed citations
10.
Nassif, Roula, Stefan Vlaski, Cédric Richard, & Ali H. Sayed. (2020). Learning Over Multitask Graphs—Part II: Performance Analysis. SHILAP Revista de lepidopterología. 8 indexed citations
11.
Nassif, Roula, Stefan Vlaski, Cédric Richard, Jie Chen, & Ali H. Sayed. (2020). Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning. IEEE Signal Processing Magazine. 37(3). 14–25. 64 indexed citations
12.
Nassif, Roula, et al.. (2020). Online Distributed Learning Over Graphs With Multitask Graph-Filter Models. IEEE Transactions on Signal and Information Processing over Networks. 6. 63–77. 26 indexed citations
13.
Nassif, Roula, Stefan Vlaski, & Ali H. Sayed. (2020). Adaptation and Learning Over Networks Under Subspace Constraints—Part I: Stability Analysis. IEEE Transactions on Signal Processing. 68. 1346–1360. 24 indexed citations
14.
Nassif, Roula, Stefan Vlaski, Cédric Richard, & Ali H. Sayed. (2020). Learning Over Multitask Graphs—Part I: Stability Analysis. SHILAP Revista de lepidopterología. 23 indexed citations
15.
Nassif, Roula, Stefan Vlaski, Cédric Richard, & Ali H. Sayed. (2018). A Regularization Framework for Learning Over Multitask Graphs. IEEE Signal Processing Letters. 26(2). 297–301. 13 indexed citations
16.
Nassif, Roula, Stefan Vlaski, & Ali H. Sayed. (2018). Distributed Inference Over Multitask Graphs Under Smoothness. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 15. 1–5. 5 indexed citations
17.
Vlaski, Stefan, et al.. (2018). ONLINE GRAPH LEARNING FROM SEQUENTIAL DATA. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 190–194. 18 indexed citations
18.
Nassif, Roula, et al.. (2018). Decentralized clustering for node-variant graph filtering with graph diffusion LMS. 2018 52nd Asilomar Conference on Signals, Systems, and Computers. 22. 1418–1422. 4 indexed citations
19.
Nassif, Roula, Cédric Richard, André Ferrari, & Ali H. Sayed. (2017). Diffusion LMS for Multitask Problems With Local Linear Equality Constraints. IEEE Transactions on Signal Processing. 65(19). 4979–4993. 45 indexed citations
20.
Nassif, Roula, et al.. (2016). Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization. IEEE Transactions on Signal Processing. 64(23). 6329–6344. 42 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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