Daniel Abásolo
- Cognitive Neuroscience top 0.5%
- EEG and Brain-Computer Interfaces 64
- Neural dynamics and brain function 46
- Functional Brain Connectivity Studies 34
- Signal Processing top 2%
- Blind Source Separation Techniques 12
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- Heart Rate Variability and Autonomic Control 27
- ECG Monitoring and Analysis 8
- Ophthalmology top 2%
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- Fractal and DNA sequence analysis 11
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- Complex Systems and Time Series Analysis 9
- Co-authors
- Roberto HorneroJavier EscuderoPedro EspinoCarlos GómezDaniel ÁlvarezJesús PozaAlberto FernándezMateo Aboy
- Journals
- Physiological Measurement (7 papers)IEEE Transactions on Biomedical Engineering (7 papers)Computer Methods and Programs in Biomedicine (4 papers)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Daniel Abásolo
106 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 138
- Cognitive Neuroscience 2.4k
- Signal Processing 445
- Cardiology and Cardiovascular Medicine 947
- Ophthalmology 192
- Endocrine and Autonomic Systems 134
Countries citing papers authored by Daniel Abásolo
This map shows the geographic impact of Daniel Abásolo'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 Daniel Abásolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Abásolo more than expected).
Fields of papers citing papers by Daniel Abásolo
This network shows the impact of papers produced by Daniel Abásolo. 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 Daniel Abásolo. The network helps show where Daniel Abásolo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Abásolo, 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 | 5 | |
| 2 | 2021 | 57 | |
| 3 | 2019 | 1 | |
| 4 | 2019 | 6 | |
| 5 | 2017 | 29 | |
| 6 | 2017 | 52 | |
| 7 | 2017 | 31 | |
| 8 | 2015 | 43 | |
| 9 | 2012 | 7 | |
| 10 | 2012 | 1 | |
| 11 | 2011 | 21 | |
| 12 | 2010 | 3 | |
| 13 | 2009 | 18 | |
| 14 | 2008 | 134 | |
| 15 | 2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16 | 2007 | 1 |
| 16 | 2007 | 26 | |
| 17 | 2007 | 57 | |
| 18 | 2006 | 6 | |
| 19 | 2006 | 90 | |
| 20 | 2005 | 205 |
About Daniel Abásolo
Daniel Abásolo is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Signal Processing, having authored 111 papers that have together received 4.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (64 papers), Neural dynamics and brain function (46 papers), Functional Brain Connectivity Studies (34 papers), Heart Rate Variability and Autonomic Control (27 papers), Blind Source Separation Techniques (12 papers), Fractal and DNA sequence analysis (11 papers), Complex Systems and Time Series Analysis (9 papers) and ECG Monitoring and Analysis (8 papers). The work is most often cited by research in Cognitive Neuroscience (2.4k citations), Signal Processing (445 citations) and Cardiology and Cardiovascular Medicine (947 citations). Daniel Abásolo has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Roberto Hornero, Javier Escudero, Pedro Espino, Carlos Gómez, Daniel Álvarez, Jesús Poza, Alberto Fernández, Mateo Aboy, Clara I. Sánchez and María García. Their work appears in journals such as Physiological Measurement, IEEE Transactions on Biomedical Engineering, Computer Methods and Programs in Biomedicine, Clinical Neurophysiology and Annals of Biomedical Engineering.
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.