David Ayllón
Impact in
- Signal Processing top 10%
- Speech and Audio Processing
-
- EEG and Brain-Computer Interfaces
Papers in
-
- Speech and Audio Processing 22
- Music and Audio Processing 8
- Blind Source Separation Techniques 4
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- Advanced Adaptive Filtering Techniques 16
- Co-authors
- Roberto Gil‐Pita (24 shared papers)Fernando Seoane (5 shared papers)Manuel Rosa-Zurera (18 shared papers)Javier Ferreira (3 shared papers)Rubén Buendía (3 shared papers)Irene Dı́az (1 shared paper)P. Jarabo-Amores (2 shared papers)José Ranilla (1 shared paper)
- Journals
- Signal Processing (3 papers)Sensors (2 papers)Engineering Applications of Artificial Intelligence (1 paper)IEEE Transactions on Biomedical Engineering (1 paper)Applied Soft Computing (1 paper)
- Partner nations
- SpainSwedenUnited States
In The Last Decade
David Ayllón
27 papers receiving 318 citations
Peers
Comparison fields: 5 of 84
- Signal Processing 76
- Cognitive Neuroscience 61
- Biomedical Engineering 129
- Experimental and Cognitive Psychology 38
- Cardiology and Cardiovascular Medicine 58
Countries citing papers authored by David Ayllón
This map shows the geographic impact of David Ayllón'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 David Ayllón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Ayllón more than expected).
Fields of papers citing papers by David Ayllón
This network shows the impact of papers produced by David Ayllón. 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 David Ayllón. The network helps show where David Ayllón may publish in the future.
Co-authors
The 16 scholars most cited alongside David Ayllón, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 116 | |
| 2 | 2009 | 53 | |
| 3 | 2013 | 30 | |
| 4 | 2015 | 21 | |
| 5 | 2016 | 17 | |
| 6 | 2014 | 12 | |
| 7 | 2015 | 9 | |
| 8 | 2017 | 8 | |
| 9 | 2013 | 6 | |
| 10 | 2015 | 5 | |
| 11 | 2011 | 5 | |
| 12 | 2013 | 5 | |
| 13 | 2015 | 4 | |
| 14 | 2011 | 4 | |
| 15 | 2013 | 4 | |
| 16 | 2012 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2015 | 3 | |
| 19 | 2017 | 3 | |
| 20 | Optimum microphone array for hands-free devices in a car | 2011 | 2 |
About David Ayllón
David Ayllón is a scholar working on Signal Processing, Computational Mechanics, Electrical and Electronic Engineering, Biomedical Engineering and Cognitive Neuroscience, having authored 30 papers that have together received 326 indexed citations. Recurring topics across this work include Speech and Audio Processing (22 papers), Advanced Adaptive Filtering Techniques (16 papers), Music and Audio Processing (8 papers), Hearing Loss and Rehabilitation (4 papers), Indoor and Outdoor Localization Technologies (4 papers), Blind Source Separation Techniques (4 papers), Non-Invasive Vital Sign Monitoring (3 papers) and Body Composition Measurement Techniques (2 papers). The work is most often cited by research in Signal Processing (76 citations), Cognitive Neuroscience (61 citations), Biomedical Engineering (129 citations), Experimental and Cognitive Psychology (38 citations) and Cardiology and Cardiovascular Medicine (58 citations). David Ayllón has collaborated with scholars based in Spain, Sweden and United States. Frequent co-authors include Roberto Gil‐Pita, Fernando Seoane, Manuel Rosa-Zurera, Javier Ferreira, Rubén Buendía, Irene Dı́az, P. Jarabo-Amores, José Ranilla, Hamid Krim and Fernando Villavicencio. Their work appears in journals such as Signal Processing, Sensors, Engineering Applications of Artificial Intelligence, IEEE Transactions on Biomedical Engineering and Applied Soft Computing.
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.