Loukianos Spyrou
- Cognitive Neuroscience top 5%
- Signal Processing top 5%
- Biomedical Engineering
- Artificial Intelligence
- Cellular and Molecular Neuroscience
- Co-authors
- Saeid SaneiJavier EscuderoClive Cheong TookDavid Martín-LópezAntonio Valentı́nEli Kinney‐LangGonzalo AlarcónJason Farquhar
- Topics
- EEG and Brain-Computer Interfaces (18 papers)Blind Source Separation Techniques (14 papers)Neural dynamics and brain function (8 papers)
- Partner nations
- United KingdomNetherlandsQatar
In The Last Decade
Loukianos Spyrou
30 papers receiving 618 citations
Peers
Comparison fields: 5 of 80
- Cognitive Neuroscience 464
- Signal Processing 192
- Biomedical Engineering 120
- Artificial Intelligence 80
- Cellular and Molecular Neuroscience 76
Countries citing papers authored by Loukianos Spyrou
This map shows the geographic impact of Loukianos Spyrou'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 Loukianos Spyrou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Loukianos Spyrou more than expected).
Fields of papers citing papers by Loukianos Spyrou
This network shows the impact of papers produced by Loukianos Spyrou. 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 Loukianos Spyrou. The network helps show where Loukianos Spyrou may publish in the future.
Co-authorship network of co-authors of Loukianos Spyrou
This figure shows the co-authorship network connecting the top 25 collaborators of Loukianos Spyrou. A scholar is included among the top collaborators of Loukianos Spyrou 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 Loukianos Spyrou. Loukianos Spyrou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 14 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on | 70 |
| 6 | 65 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 17 | |
| 10 | 95 | |
| 11 | 13 | |
| 12 | 6 | |
| 13 | 5 | |
| 14 | Singular spectrum analysis as a preprocessing filtering step for fNIRS brain computer interfaces | 1 |
| 15 | 64 | |
| 16 | 9 | |
| 17 | 24 | |
| 18 | 3 | |
| 19 | 3 | |
| 20 | 1 |
About Loukianos Spyrou
Loukianos Spyrou is a scholar working on Computational Mathematics, Signal Processing and Cognitive Neuroscience, having authored 30 papers that have together received 627 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (18 papers), Blind Source Separation Techniques (14 papers) and Neural dynamics and brain function (8 papers). The work is most often cited by research in Computational Mathematics (50 citations), Cognitive Neuroscience (464 citations) and Signal Processing (192 citations). Loukianos Spyrou has collaborated with scholars based in United Kingdom, Netherlands and Qatar. Frequent co-authors include Saeid Sanei, Javier Escudero, Clive Cheong Took, David Martín-López, Antonio Valentı́n, Eli Kinney‐Lang, Gonzalo Alarcón, Jason Farquhar, Jörgen Bruhn and Samaneh Kouchaki. Their work appears in journals such as Scientific Reports, IEEE Transactions on Signal Processing and IEEE Access.
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.