David Cuesta–Frau

95 total papers · 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, Á. Molina, Pau Micó Tormos, Diego H. Peluffo-Ordóńez, Álvaro Araújo, Daniel Austin, G. Castellanos-Domínguez, Edilson Delgado‐Trejos, Daniel Novák and Alejandro Osorio-Forero 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Cuesta–Frau 401 347 254 208 181 72 1.1k
Qing Cai 207 0.5× 638 1.8× 147 0.6× 156 0.8× 182 1.0× 41 1.3k
Fabio La Foresta 305 0.8× 739 2.1× 202 0.8× 421 2.0× 85 0.5× 58 1.3k
Yisheng Zhu 398 1.0× 669 1.9× 189 0.7× 110 0.5× 80 0.4× 125 1.4k
Wajid Aziz 269 0.7× 189 0.5× 203 0.8× 102 0.5× 81 0.4× 66 1.4k
Montserrat Vallverdú 756 1.9× 448 1.3× 277 1.1× 99 0.5× 178 1.0× 112 1.4k
Sheng Lu 402 1.0× 156 0.4× 316 1.2× 58 0.3× 69 0.4× 79 1.2k
Chien-Hung Yeh 178 0.4× 415 1.2× 138 0.5× 108 0.5× 61 0.3× 62 1.2k
Jennifer M. Yentes 294 0.7× 302 0.9× 453 1.8× 79 0.4× 116 0.6× 54 1.5k
Zhenhu Liang 205 0.5× 872 2.5× 203 0.8× 99 0.5× 91 0.5× 76 1.4k
Pushpendra Singh 343 0.9× 515 1.5× 225 0.9× 270 1.3× 44 0.2× 49 1.2k

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

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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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