David Cuesta–Frau
- Cardiology and Cardiovascular Medicine top 5%
- Cognitive Neuroscience top 5%
- Biomedical Engineering
- Signal Processing top 5%
- Economics and Econometrics top 5%
- Co-authors
- Mateo AboyPau Micó TormosDiego H. Peluffo-OrdóńezÁlvaro AraújoDaniel AustinDaniel NovákG. Castellanos-DomínguezEdilson Delgado‐Trejos
- Topics
- ECG Monitoring and Analysis (22 papers)Heart Rate Variability and Autonomic Control (20 papers)EEG and Brain-Computer Interfaces (18 papers)
- Partner nations
- SpainUnited StatesColombia
In The Last Decade
David Cuesta–Frau
72 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 126
- Cardiology and Cardiovascular Medicine 401
- Cognitive Neuroscience 351
- Biomedical Engineering 254
- Signal Processing 208
- Economics and Econometrics 181
Countries citing papers authored by David Cuesta–Frau
This map shows the geographic impact of David Cuesta–Frau'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 Cuesta–Frau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Cuesta–Frau more than expected).
Fields of papers citing papers by David Cuesta–Frau
This network shows the impact of papers produced by David Cuesta–Frau. 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 Cuesta–Frau. The network helps show where David Cuesta–Frau may publish in the future.
Co-authorship network of co-authors of David Cuesta–Frau
This figure shows the co-authorship network connecting the top 25 collaborators of David Cuesta–Frau. A scholar is included among the top collaborators of David Cuesta–Frau 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 David Cuesta–Frau. David Cuesta–Frau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 18 | |
| 4 | 23 | |
| 5 | 34 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 23 | |
| 9 | 11 | |
| 10 | 5 | |
| 11 | Atrial electrogram complex fractionated entropy study | 1 |
| 12 | 15 | |
| 13 | 6 | |
| 14 | 4 | |
| 15 | Nonparametric density-based clustering for cardiac arrhythmia analysis | 1 |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 65 | |
| 19 | A comparative study of local thresholding methods for document image binarization | 2 |
| 20 | 12 |
About David Cuesta–Frau
David Cuesta–Frau is a scholar working on Cardiology and Cardiovascular Medicine, Signal Processing and Cognitive Neuroscience, having authored 72 papers that have together received 1.1k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (22 papers), Heart Rate Variability and Autonomic Control (20 papers) and EEG and Brain-Computer Interfaces (18 papers). The work is most often cited by research in Signal Processing (208 citations), Cognitive Neuroscience (351 citations) and Cardiology and Cardiovascular Medicine (401 citations). David Cuesta–Frau has collaborated with scholars based in Spain, United States and Colombia. Frequent co-authors include Mateo Aboy, Pau Micó Tormos, Diego H. Peluffo-Ordóńez, Álvaro Araújo, Daniel Austin, Daniel Novák, G. Castellanos-Domínguez, Edilson Delgado‐Trejos, Alejandro Osorio-Forero and Cristina Crespo. Their work appears in journals such as PLoS ONE, IEEE Transactions on Biomedical Engineering and Sensors.
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.