J. Presedo
Impact in
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- ECG Monitoring and Analysis
- Heart Rate Variability and Autonomic Control
- Cardiac electrophysiology and arrhythmias
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
Papers in
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- ECG Monitoring and Analysis 16
- Heart Rate Variability and Autonomic Control 8
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- Non-Invasive Vital Sign Monitoring 9
- Advanced Chemical Sensor Technologies 3
- Co-authors
- Xosé A. Vila (17 shared papers)Senén Barro (24 shared papers)Paulo Félix (13 shared papers)Manuel Fernández-Delgado (9 shared papers)Tomás Teijeiro (5 shared papers)Constantino Antonio García Martínez (7 shared papers)Abraham Otero (9 shared papers)R. Ruı́z (12 shared papers)
In The Last Decade
J. Presedo
40 papers receiving 631 citations
Peers
Comparison fields: 5 of 105
- Cardiology and Cardiovascular Medicine 373
- Cognitive Neuroscience 192
- Endocrine and Autonomic Systems 35
- Biomedical Engineering 217
- Signal Processing 45
Countries citing papers authored by J. Presedo
This map shows the geographic impact of J. Presedo'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 J. Presedo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Presedo more than expected).
Fields of papers citing papers by J. Presedo
This network shows the impact of papers produced by J. Presedo. 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 J. Presedo. The network helps show where J. Presedo may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Presedo, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 87 | |
| 2 | 2016 | 81 | |
| 3 | 2000 | 80 | |
| 4 | 1997 | 77 | |
| 5 | 1999 | 48 | |
| 6 | 2015 | 40 | |
| 7 | 1997 | 36 | |
| 8 | 2012 | 26 | |
| 9 | 2017 | 23 | |
| 10 | 2005 | 17 | |
| 11 | 1996 | 17 | |
| 12 | 2015 | 12 | |
| 13 | 2012 | 11 | |
| 14 | 2010 | 10 | |
| 15 | 2009 | 10 | |
| 16 | 1991 | 9 | |
| 17 | 2002 | 8 | |
| 18 | A software toolkit for nonlinear Heart Rate Variability analysis | 2013 | 6 |
| 19 | 2005 | 5 | |
| 20 | 2005 | 5 |
About J. Presedo
J. Presedo is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering, Surgery, Cognitive Neuroscience and Artificial Intelligence, having authored 43 papers that have together received 656 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (16 papers), Non-Invasive Vital Sign Monitoring (9 papers), EEG and Brain-Computer Interfaces (8 papers), Heart Rate Variability and Autonomic Control (8 papers), Healthcare Technology and Patient Monitoring (6 papers), Context-Aware Activity Recognition Systems (5 papers), Neural Networks and Applications (4 papers) and Advanced Chemical Sensor Technologies (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (373 citations), Cognitive Neuroscience (192 citations), Endocrine and Autonomic Systems (35 citations), Biomedical Engineering (217 citations) and Signal Processing (45 citations). J. Presedo has collaborated with scholars based in Spain, Chile and Argentina. Frequent co-authors include Xosé A. Vila, Senén Barro, Paulo Félix, Manuel Fernández-Delgado, Tomás Teijeiro, Constantino Antonio García Martínez, Abraham Otero, R. Ruı́z, Marek Malík and Yi Gang. Their work appears in journals such as Expert Systems with Applications, International Journal of Medical Informatics, Artificial Organs, Clinical Nephrology and IEEE Journal of Biomedical and Health Informatics.
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.