Athanasios P. Liavas
Impact in
- Computational Mathematics top 0.5%
- Tensor decomposition and applications
- Signal Processing top 2%
- Blind Source Separation Techniques
- Speech and Audio Processing
- Direction-of-Arrival Estimation Techniques
Papers in
-
- Tensor decomposition and applications 10
-
- Blind Source Separation Techniques 13
- Speech and Audio Processing 8
- Co-authors
- P.A. RegaliaNicholas D. SidiropoulosJean-Pierre DelmasKejun HuangGeorge N. KarystinosCostas PapaloukasLampros K. MichalisD.I. Fotiadis
- Journals
- IEEE Transactions on Signal Processing (15 papers)Signal Processing (2 papers)IEEE Transactions on Information Theory (2 papers)IEEE Transactions on Biomedical Engineering (1 paper)Frontiers in Human Neuroscience (1 paper)
- Partner nations
- GreeceUnited StatesFrance
In The Last Decade
Athanasios P. Liavas
38 papers receiving 803 citations
Peers
Comparison fields: 5 of 74
- Computational Mathematics 159
- Signal Processing 374
- Computational Mechanics 255
- Computer Networks and Communications 140
- Cognitive Neuroscience 91
Countries citing papers authored by Athanasios P. Liavas
This map shows the geographic impact of Athanasios P. Liavas'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 Athanasios P. Liavas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Athanasios P. Liavas more than expected).
Fields of papers citing papers by Athanasios P. Liavas
This network shows the impact of papers produced by Athanasios P. Liavas. 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 Athanasios P. Liavas. The network helps show where Athanasios P. Liavas may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Athanasios P. Liavas, 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 | 2021 | 2 | |
| 2 | 2021 | 1 | |
| 3 | 2020 | 2 | |
| 4 | 2020 | 1 | |
| 5 | 2018 | 1 | |
| 6 | 2017 | 27 | |
| 7 | 2016 | 112 | |
| 8 | 2015 | 4 | |
| 9 | 2015 | 80 | |
| 10 | 2012 | 1 | |
| 11 | 2011 | 3 | |
| 12 | 2010 | 35 | |
| 13 | 2009 | 8 | |
| 14 | 2008 | 6 | |
| 15 | 2001 | 61 | |
| 16 | 2000 | 27 | |
| 17 | 2000 | 5 | |
| 18 | 1999 | 34 | |
| 19 | 1998 | 41 | |
| 20 | 1998 | 21 |
About Athanasios P. Liavas
Athanasios P. Liavas is a scholar working on Computational Mathematics, Signal Processing, Computational Mechanics, Computational Theory and Mathematics and Cognitive Neuroscience, having authored 40 papers that have together received 850 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (13 papers), Advanced Adaptive Filtering Techniques (10 papers), Tensor decomposition and applications (10 papers), Advanced Wireless Communication Techniques (9 papers), Speech and Audio Processing (8 papers), Sparse and Compressive Sensing Techniques (6 papers), Neural dynamics and brain function (6 papers) and Matrix Theory and Algorithms (6 papers). The work is most often cited by research in Computational Mathematics (159 citations), Signal Processing (374 citations), Computational Mechanics (255 citations), Computer Networks and Communications (140 citations) and Cognitive Neuroscience (91 citations). Athanasios P. Liavas has collaborated with scholars based in Greece, United States and France. Frequent co-authors include P.A. Regalia, Nicholas D. Sidiropoulos, Jean-Pierre Delmas, Kejun Huang, George N. Karystinos, Costas Papaloukas, Lampros K. Michalis, D.I. Fotiadis, Aristidis Likas and Peter Husár. Their work appears in journals such as IEEE Transactions on Signal Processing, Signal Processing, IEEE Transactions on Information Theory, IEEE Transactions on Biomedical Engineering and Frontiers in Human Neuroscience.
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.