Andreas Loukas
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- Complex Network Analysis Techniques 9
- Artificial Intelligence top 2%
- Advanced Graph Neural Networks 14
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- Energy Efficient Wireless Sensor Networks 5
- Caching and Content Delivery 3
- Mobile Ad Hoc Networks 3
- Wireless Networks and Protocols 3
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- Modular Robots and Swarm Intelligence 3
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- Sparse and Compressive Sensing Techniques 2
- Co-authors
- Geert LeusAndrea SimonettoElvin IsufiNathanaël PerraudinBenjamin RicaudNicolas TremblayMarco ZúñigaPascal Frossard
- Journals
- IEEE Transactions on Signal Processing (4 papers)IEEE Signal Processing Letters (1 paper)SIAM Journal on Discrete Mathematics (1 paper)
- Partner nations
- NetherlandsSwitzerlandGermany
In The Last Decade
Andreas Loukas
29 papers receiving 723 citations
Peers
Comparison fields: 5 of 78
- Statistical and Nonlinear Physics 287
- Artificial Intelligence 502
- Computational Mathematics 6
- Computer Networks and Communications 200
- Computer Vision and Pattern Recognition 77
Countries citing papers authored by Andreas Loukas
This map shows the geographic impact of Andreas Loukas'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 Andreas Loukas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Loukas more than expected).
Fields of papers citing papers by Andreas Loukas
This network shows the impact of papers produced by Andreas Loukas. 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 Andreas Loukas. The network helps show where Andreas Loukas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andreas Loukas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2022 | 4 | |
| 3 | GG-GAN: A Geometric Graph Generative Adversarial Network | 2021 | 2 |
| 4 | 2020 | 5 | |
| 5 | 2019 | 73 | |
| 6 | 2019 | 1 | |
| 7 | 2018 | 24 | |
| 8 | How Close Are the Eigenvectors of the Sample and Actual Covariance Matrices | 2017 | 5 |
| 9 | 2017 | 8 | |
| 10 | 2017 | 48 | |
| 11 | 2017 | 109 | |
| 12 | 2016 | 13 | |
| 13 | 2016 | 19 | |
| 14 | 2016 | 24 | |
| 15 | 2015 | 7 | |
| 16 | 2014 | 13 | |
| 17 | 2014 | 12 | |
| 18 | 2013 | 12 | |
| 19 | 2011 | 1 | |
| 20 | 2008 | 2 |
About Andreas Loukas
Andreas Loukas is a scholar working on Statistical and Nonlinear Physics, Structural Biology, Artificial Intelligence, Computer Networks and Communications and Signal Processing, having authored 30 papers that have together received 733 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (14 papers), Complex Network Analysis Techniques (9 papers), Energy Efficient Wireless Sensor Networks (5 papers), Modular Robots and Swarm Intelligence (3 papers), Caching and Content Delivery (3 papers), Mobile Ad Hoc Networks (3 papers), Wireless Networks and Protocols (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (287 citations), Artificial Intelligence (502 citations), Computational Mathematics (6 citations), Computer Networks and Communications (200 citations) and Computer Vision and Pattern Recognition (77 citations). Andreas Loukas has collaborated with scholars based in Netherlands, Switzerland and Germany. Frequent co-authors include Geert Leus, Andrea Simonetto, Elvin Isufi, Nathanaël Perraudin, Benjamin Ricaud, Nicolas Tremblay, Marco Zúñiga, Pascal Frossard, Koen Langendoen and Vassilis Kalofolias. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Signal Processing Letters, SIAM Journal on Discrete Mathematics, PLoS Computational Biology and Cell Systems.
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.