F. Clariá
Impact in
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- Heart Rate Variability and Autonomic Control
- ECG Monitoring and Analysis
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
Papers in
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- Heart Rate Variability and Autonomic Control 13
- Cardiac electrophysiology and arrhythmias 5
- ECG Monitoring and Analysis 5
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- EEG and Brain-Computer Interfaces 7
- Co-authors
- Montserrat Vallverdú (27 shared papers)P. Caminal (26 shared papers)Rafał Baranowski (6 shared papers)Francesc Solsona (7 shared papers)J. Valencia (3 shared papers)Ewa Orłowska‐Baranowska (2 shared papers)Alberto Porta (2 shared papers)Álex Moreno (1 shared paper)
In The Last Decade
F. Clariá
34 papers receiving 455 citations
Peers
Comparison fields: 5 of 91
- Cardiology and Cardiovascular Medicine 174
- Cognitive Neuroscience 114
- Signal Processing 58
- Speech and Hearing 29
- Statistical and Nonlinear Physics 38
Countries citing papers authored by F. Clariá
This map shows the geographic impact of F. Clariá'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 F. Clariá with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Clariá more than expected).
Fields of papers citing papers by F. Clariá
This network shows the impact of papers produced by F. Clariá. 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 F. Clariá. The network helps show where F. Clariá may publish in the future.
Co-authors
The 25 scholars most cited alongside F. Clariá, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 172 | |
| 2 | 2017 | 59 | |
| 3 | 2021 | 57 | |
| 4 | 2008 | 17 | |
| 5 | 2013 | 17 | |
| 6 | 2021 | 15 | |
| 7 | 2014 | 13 | |
| 8 | 2022 | 12 | |
| 9 | 2000 | 10 | |
| 10 | 2022 | 10 | |
| 11 | 2011 | 10 | |
| 12 | 2002 | 9 | |
| 13 | 2002 | 8 | |
| 14 | 2013 | 7 | |
| 15 | 2008 | 6 | |
| 16 | 2006 | 5 | |
| 17 | 2015 | 5 | |
| 18 | 2012 | 4 | |
| 19 | 2008 | 4 | |
| 20 | 2002 | 4 |
About F. Clariá
F. Clariá is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Biomedical Engineering, Molecular Biology and Signal Processing, having authored 36 papers that have together received 465 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (13 papers), EEG and Brain-Computer Interfaces (7 papers), Non-Invasive Vital Sign Monitoring (6 papers), Cardiac electrophysiology and arrhythmias (5 papers), Complex Systems and Time Series Analysis (5 papers), ECG Monitoring and Analysis (5 papers), Advanced Chemical Sensor Technologies (4 papers) and Fractal and DNA sequence analysis (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (174 citations), Cognitive Neuroscience (114 citations), Signal Processing (58 citations), Speech and Hearing (29 citations) and Statistical and Nonlinear Physics (38 citations). F. Clariá has collaborated with scholars based in Spain, Poland and Germany. Frequent co-authors include Montserrat Vallverdú, P. Caminal, Rafał Baranowski, Francesc Solsona, J. Valencia, Ewa Orłowska‐Baranowska, Alberto Porta, Álex Moreno, Daniel Chemisana and Frederik Reitsma. Their work appears in journals such as Physiological Measurement, Sensors, Computer Methods and Programs in Biomedicine, IEEE Transactions on Biomedical Engineering and Biomedical Signal Processing and Control.
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.