David Cuesta–Frau

1.6k total citations
72 papers, 1.1k citations indexed

About

David Cuesta–Frau is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, David Cuesta–Frau has authored 72 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cardiology and Cardiovascular Medicine, 23 papers in Cognitive Neuroscience and 18 papers in Signal Processing. Recurrent topics in David Cuesta–Frau's work include ECG Monitoring and Analysis (22 papers), Heart Rate Variability and Autonomic Control (20 papers) and EEG and Brain-Computer Interfaces (18 papers). David Cuesta–Frau is often cited by papers focused on ECG Monitoring and Analysis (22 papers), Heart Rate Variability and Autonomic Control (20 papers) and EEG and Brain-Computer Interfaces (18 papers). David Cuesta–Frau collaborates with scholars based in Spain, United States and Colombia. David Cuesta–Frau's co-authors include Mateo Aboy, Pau Micó Tormos, Diego H. Peluffo-Ordóńez, Álvaro Araújo, Daniel Austin, Edilson Delgado‐Trejos, G. Castellanos-Domínguez, Daniel Novák, Alejandro Osorio-Forero and Cristina Crespo and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Biomedical Engineering and Sensors.

In The Last Decade

David Cuesta–Frau

72 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Cuesta–Frau Spain 19 401 351 254 208 181 72 1.1k
Wangxin Yu China 4 355 0.9× 455 1.3× 258 1.0× 142 0.7× 196 1.1× 7 1.4k
Mosabber Uddin Ahmed Bangladesh 14 202 0.5× 235 0.7× 158 0.6× 116 0.6× 180 1.0× 32 855
Qing Cai China 17 207 0.5× 641 1.8× 148 0.6× 156 0.8× 180 1.0× 41 1.3k
Fabio La Foresta Italy 18 306 0.8× 743 2.1× 203 0.8× 423 2.0× 87 0.5× 58 1.3k
Weidong Dang China 20 220 0.5× 807 2.3× 231 0.9× 178 0.9× 204 1.1× 47 1.6k
Wajid Aziz Pakistan 22 273 0.7× 192 0.5× 207 0.8× 102 0.5× 81 0.4× 66 1.4k
Jun Zhuang United States 6 165 0.4× 370 1.1× 196 0.8× 71 0.3× 100 0.6× 18 838
D. Narayana Dutt India 16 194 0.5× 412 1.2× 150 0.6× 177 0.9× 102 0.6× 64 829
Montserrat Vallverdú Spain 20 761 1.9× 450 1.3× 281 1.1× 99 0.5× 179 1.0× 112 1.4k
George Manis Greece 15 332 0.8× 204 0.6× 142 0.6× 127 0.6× 63 0.3× 44 759

Countries citing papers authored by David Cuesta–Frau

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Cuesta–Frau, David, et al.. (2024). Slope Entropy Characterisation: An Asymmetric Approach to Threshold Parameters Role Analysis. Entropy. 26(1). 82–82. 1 indexed citations
2.
Avendaño-Valencia, Luis David, et al.. (2023). State space model-based harmonic decomposition of pseudo-periodic non-stationary multivariate signals. Signal Processing. 213. 109192–109192. 1 indexed citations
3.
Avendaño-Valencia, Luis David, et al.. (2021). State-space modal representations for decomposition of multivariate non-stationary signals. IFAC-PapersOnLine. 54(7). 475–480. 1 indexed citations
4.
Delgado‐Trejos, Edilson, et al.. (2020). Muscle fatigue analysis during dynamic contractions based on biomechanical features and Permutation Entropy. Mathematical Biosciences & Engineering. 17(3). 2592–2615. 18 indexed citations
5.
Cuesta–Frau, David, et al.. (2019). Embedded Dimension and Time Series Length. Practical Influence on Permutation Entropy and Its Applications. Entropy. 21(4). 385–385. 34 indexed citations
6.
Cuesta–Frau, David, Daniel Novák, Daniel Abásolo, et al.. (2019). Influence of Duodenal–Jejunal Implantation on Glucose Dynamics: A Pilot Study Using Different Nonlinear Methods. Complexity. 2019(1). 1 indexed citations
7.
Cuesta–Frau, David, et al.. (2018). Classification of glucose records from patients at diabetes risk using a combined permutation entropy algorithm. Computer Methods and Programs in Biomedicine. 165. 197–204. 14 indexed citations
8.
Cuesta–Frau, David, et al.. (2017). Noisy EEG signals classification based on entropy metrics. Performance assessment using first and second generation statistics. Computers in Biology and Medicine. 87. 141–151. 23 indexed citations
9.
Cuesta–Frau, David, et al.. (2016). Statistical models for fever forecasting based on advanced body temperature monitoring. Journal of Critical Care. 37. 136–140. 11 indexed citations
10.
Cuesta–Frau, David, et al.. (2015). Development of a Novel Scheme for Long-Term Body Temperature Monitoring: A Review of Benefits and Applications. Journal of Medical Systems. 39(4). 209–209. 5 indexed citations
11.
Cuesta–Frau, David, et al.. (2014). A new algorithm for quadratic sample entropy optimization for very short biomedical signals: Application to blood pressure records. Computer Methods and Programs in Biomedicine. 114(3). 231–239. 15 indexed citations
12.
Cuesta–Frau, David, et al.. (2014). Atrial electrogram complex fractionated entropy study. 20(9). 5566–5574. 1 indexed citations
13.
Osorio-Forero, Alejandro, et al.. (2014). Automatic Sleep Stages Classification Using EEG Entropy Features and Unsupervised Pattern Analysis Techniques. Entropy. 16(12). 6573–6589. 89 indexed citations
14.
Peluffo-Ordóńez, Diego H., et al.. (2012). Unsupervised feature relevance analysis applied to improve ECG heartbeat clustering. Computer Methods and Programs in Biomedicine. 108(1). 250–261. 21 indexed citations
15.
Cuesta–Frau, David, et al.. (2012). Influence of QRS complex detection errors on entropy algorithms. Application to heart rate variability discrimination. Computer Methods and Programs in Biomedicine. 110(1). 2–11. 16 indexed citations
16.
Peluffo-Ordóńez, Diego H., et al.. (2009). Nonparametric density-based clustering for cardiac arrhythmia analysis. 569–572. 1 indexed citations
17.
Cuesta–Frau, David, Marcelo O. Biagetti, Pau Micó Tormos, Mateo Aboy, & Ricardo A. Quinteiro. (2007). T-wave Alternans Analysis Improvement by Means of Curve Alignment Prior to Distance Calculation. Conference proceedings. 2007. 690–693. 1 indexed citations
18.
Cuesta–Frau, David, et al.. (2006). A comparative study of local thresholding methods for document image binarization. 15(3). 439–450. 2 indexed citations
19.
Cuesta–Frau, David, et al.. (2004). A Microcontroller-Based Portable Electrocardiograph Recorder. IEEE Transactions on Biomedical Engineering. 51(9). 1686–1690. 42 indexed citations
20.
Cuesta–Frau, David, Juan-Carlos Pérez-Cortés, & Gabriela Andreu-Garcı́a. (2003). Clustering of electrocardiograph signals in computer-aided Holter analysis. Computer Methods and Programs in Biomedicine. 72(3). 179–196. 30 indexed citations

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.

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