Symeon Chouvardas

828 total citations
22 papers, 441 citations indexed

About

Symeon Chouvardas is a scholar working on Computational Mechanics, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Symeon Chouvardas has authored 22 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Mechanics, 12 papers in Computer Networks and Communications and 5 papers in Artificial Intelligence. Recurrent topics in Symeon Chouvardas's work include Advanced Adaptive Filtering Techniques (11 papers), Sparse and Compressive Sensing Techniques (9 papers) and Neural Networks Stability and Synchronization (5 papers). Symeon Chouvardas is often cited by papers focused on Advanced Adaptive Filtering Techniques (11 papers), Sparse and Compressive Sensing Techniques (9 papers) and Neural Networks Stability and Synchronization (5 papers). Symeon Chouvardas collaborates with scholars based in Greece, France and United States. Symeon Chouvardas's co-authors include Sergios Theodoridis, Konstantinos Slavakis, Yannis Kopsinis, Pantelis Bouboulis, Moez Draief, Stefano Paris, Lazaros Gkatzikis, N. Kalouptsidis, Mathieu Leconte and Stefan Valentin and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Signal Processing Letters and IEEE Journal of Selected Topics in Signal Processing.

In The Last Decade

Symeon Chouvardas

22 papers receiving 433 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Symeon Chouvardas 267 192 147 113 77 22 441
Jorge Plata-Chaves 219 0.8× 220 1.1× 155 1.1× 95 0.8× 148 1.9× 25 459
Reza Abdolee 222 0.8× 132 0.7× 173 1.2× 57 0.5× 149 1.9× 43 423
Luiz F. O. Chamon 75 0.3× 172 0.9× 50 0.3× 205 1.8× 186 2.4× 38 496
Alba Pagés-Zamora 73 0.3× 429 2.2× 107 0.7× 159 1.4× 417 5.4× 61 707
Jacek Ilow 97 0.4× 358 1.9× 109 0.7× 51 0.5× 522 6.8× 96 734
Kunal Srivastava 72 0.3× 259 1.3× 29 0.2× 94 0.8× 34 0.4× 9 328
Dragana Bajović 72 0.3× 359 1.9× 27 0.2× 204 1.8× 176 2.3× 52 522
Ning Han 95 0.4× 452 2.4× 146 1.0× 87 0.8× 197 2.6× 48 646
S. Attallah 204 0.8× 168 0.9× 278 1.9× 44 0.4× 246 3.2× 63 517
Laming Chen 211 0.8× 32 0.2× 90 0.6× 47 0.4× 38 0.5× 25 311

Countries citing papers authored by Symeon Chouvardas

Since Specialization
Citations

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

Fields of papers citing papers by Symeon Chouvardas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Symeon Chouvardas

This figure shows the co-authorship network connecting the top 25 collaborators of Symeon Chouvardas. A scholar is included among the top collaborators of Symeon Chouvardas 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 Symeon Chouvardas. Symeon Chouvardas 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.
Bouboulis, Pantelis, Symeon Chouvardas, & Sergios Theodoridis. (2017). Online Distributed Learning Over Networks in RKH Spaces Using Random Fourier Features. IEEE Transactions on Signal Processing. 66(7). 1920–1932. 48 indexed citations
2.
Chouvardas, Symeon, et al.. (2017). Robust online matrix completion on graphs. 61. 4019–4023. 9 indexed citations
3.
Gkatzikis, Lazaros, et al.. (2016). Bandwidth calendaring: Dynamic services scheduling over Software Defined Networks. 1–7. 14 indexed citations
4.
Leguay, Jérémie, Lorenzo Maggi, Moez Draief, Stefano Paris, & Symeon Chouvardas. (2016). Admission control with online algorithms in SDN. 12 indexed citations
5.
Paris, Stefano, Jérémie Leguay, Lorenzo Maggi, Moez Draief, & Symeon Chouvardas. (2016). Online experts for admission control in SDN. 3 indexed citations
6.
Chouvardas, Symeon, Stefan Valentin, Moez Draief, & Mathieu Leconte. (2016). A method to reconstruct coverage loss maps based on matrix completion and adaptive sampling. 6390–6394. 16 indexed citations
7.
Chouvardas, Symeon, et al.. (2015). Greedy Sparsity-Promoting Algorithms for Distributed Learning. IEEE Transactions on Signal Processing. 63(6). 1419–1432. 8 indexed citations
8.
Cui, Shuguang, Shuguang Cui, Shuguang, et al.. (2015). Big Data over Networks. Cambridge University Press eBooks. 20 indexed citations
9.
Kopsinis, Yannis, Symeon Chouvardas, & Sergios Theodoridis. (2015). Distributed robust subspace tracking. 6. 2531–2535. 4 indexed citations
10.
Chouvardas, Symeon, Yannis Kopsinis, & Sergios Theodoridis. (2015). An online algorithm for distributed dictionary learning. 11. 3292–3296. 4 indexed citations
11.
Chouvardas, Symeon, et al.. (2014). An Adaptive Projected Subgradient based algorithm for robust subspace tracking. 5497–5501. 9 indexed citations
12.
Chouvardas, Symeon, Konstantinos Slavakis, & Sergios Theodoridis. (2013). Trading off Complexity With Communication Costs in Distributed Adaptive Learning via Krylov Subspaces for Dimensionality Reduction. IEEE Journal of Selected Topics in Signal Processing. 7(2). 257–273. 38 indexed citations
13.
Theodoridis, Sergios, Yannis Kopsinis, Konstantinos Slavakis, & Symeon Chouvardas. (2013). Sparsity-Aware Adaptive Learning: A Set Theoretic Estimation Approach.. IFAC Proceedings Volumes. 46(11). 748–756. 2 indexed citations
14.
Chouvardas, Symeon, Konstantinos Slavakis, Sergios Theodoridis, & Isao Yamada. (2013). Stochastic Analysis of Hyperslab-Based Adaptive Projected Subgradient Method Under Bounded Noise. IEEE Signal Processing Letters. 20(7). 729–732. 5 indexed citations
15.
Chouvardas, Symeon, et al.. (2013). A greedy sparsity-promoting LMS for distributed adaptive learning in diffusion networks. 5415–5419. 7 indexed citations
16.
Chouvardas, Symeon, Yannis Kopsinis, Konstantinos Slavakis, & Sergios Theodoridis. (2012). Sparsity-Promoting Adaptive Algorithm For Distributed Learning In Diffusion Networks. The Digital Library project by the National Documentation Center (EKT) (National Documentation Centre (Greece)). 1084–1088. 3 indexed citations
17.
Chouvardas, Symeon, Konstantinos Slavakis, Yannis Kopsinis, & Sergios Theodoridis. (2012). A Sparsity Promoting Adaptive Algorithm for Distributed Learning. IEEE Transactions on Signal Processing. 60(10). 5412–5425. 66 indexed citations
18.
Chouvardas, Symeon, Konstantinos Slavakis, & Sergios Theodoridis. (2011). Adaptive Robust Distributed Learning in Diffusion Sensor Networks. IEEE Transactions on Signal Processing. 59(10). 4692–4707. 132 indexed citations
19.
Chouvardas, Symeon, Konstantinos Slavakis, & Sergios Theodoridis. (2011). Trading off communications bandwidth with accuracy in adaptive diffusion networks. The Digital Library project by the National Documentation Center (EKT) (National Documentation Centre (Greece)). 2009. 2048–2051. 3 indexed citations
20.
Chouvardas, Symeon, et al.. (2010). A novel adaptive algorithm for diffusion networks using projections onto hyperslabs. 25. 393–398. 4 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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