Óscar Barquero‐Pérez

1.0k total citations
73 papers, 729 citations indexed

About

Óscar Barquero‐Pérez is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Óscar Barquero‐Pérez has authored 73 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Cardiology and Cardiovascular Medicine, 15 papers in Biomedical Engineering and 10 papers in Cognitive Neuroscience. Recurrent topics in Óscar Barquero‐Pérez's work include Heart Rate Variability and Autonomic Control (27 papers), ECG Monitoring and Analysis (27 papers) and Cardiac electrophysiology and arrhythmias (17 papers). Óscar Barquero‐Pérez is often cited by papers focused on Heart Rate Variability and Autonomic Control (27 papers), ECG Monitoring and Analysis (27 papers) and Cardiac electrophysiology and arrhythmias (17 papers). Óscar Barquero‐Pérez collaborates with scholars based in Spain, United States and Portugal. Óscar Barquero‐Pérez's co-authors include Rebeca Goya–Esteban, José Luis Rojo‐Álvarez, Rafael García Carretero, Arcadi Garcı́a-Alberola, Javier Ramos, Luis Vigil, Inmaculada Mora-Jiménez, Cristina Soguero-Ruíz, Felipe Alonso‐Atienza and Antonio J. Caamaño and has published in prestigious journals such as The American Journal of Cardiology, IEEE Transactions on Biomedical Engineering and Frontiers in Psychology.

In The Last Decade

Óscar Barquero‐Pérez

69 papers receiving 703 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Óscar Barquero‐Pérez Spain 16 356 146 106 70 58 73 729
Matteo Gadaleta United States 13 146 0.4× 277 1.9× 38 0.4× 132 1.9× 25 0.4× 23 968
Paulo R. Gomes Brazil 9 668 1.9× 139 1.0× 241 2.3× 100 1.4× 53 0.9× 33 855
J. Weston Hughes United States 12 196 0.6× 70 0.5× 44 0.4× 70 1.0× 27 0.5× 21 486
Avesh Kumar Singh India 5 284 0.8× 129 0.9× 36 0.3× 77 1.1× 39 0.7× 8 516
Nimit S. Sohoni United States 5 283 0.8× 129 0.9× 36 0.3× 81 1.2× 35 0.6× 6 475
Inga Strümke Norway 9 96 0.3× 85 0.6× 53 0.5× 271 3.9× 56 1.0× 35 892
Vajira Thambawita Norway 10 91 0.3× 71 0.5× 63 0.6× 247 3.5× 42 0.7× 33 792
David A. Clifton United Kingdom 14 104 0.3× 81 0.6× 22 0.2× 97 1.4× 20 0.3× 36 510
Massimiliano Donati Italy 10 84 0.2× 122 0.8× 25 0.2× 36 0.5× 25 0.4× 41 452

Countries citing papers authored by Óscar Barquero‐Pérez

Since Specialization
Citations

This map shows the geographic impact of Óscar Barquero‐Pérez'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 Óscar Barquero‐Pérez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Óscar Barquero‐Pérez more than expected).

Fields of papers citing papers by Óscar Barquero‐Pérez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Óscar Barquero‐Pérez. 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 Óscar Barquero‐Pérez. The network helps show where Óscar Barquero‐Pérez may publish in the future.

Co-authorship network of co-authors of Óscar Barquero‐Pérez

This figure shows the co-authorship network connecting the top 25 collaborators of Óscar Barquero‐Pérez. A scholar is included among the top collaborators of Óscar Barquero‐Pérez 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 Óscar Barquero‐Pérez. Óscar Barquero‐Pérez 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.
Gómez, José, María Luisa Maestro de las Casas, María Luisa Gutiérrez García, et al.. (2025). Exploratory integration of near-infrared spectroscopy with clinical data: a machine learning approach for HCV detection in serum samples. Frontiers in Medicine. 12. 1596476–1596476.
2.
Rodríguez, Juan Manuel Alonso, et al.. (2024). Main causes of producing honey bee colony losses in southwestern Spain: a novel machine learning-based approach. Apidologie. 55(5). 3 indexed citations
3.
Carro‐Calvo, L., et al.. (2022). Deep Neural Network: An Alternative to Traditional Channel Estimators in Massive MIMO Systems. IEEE Transactions on Cognitive Communications and Networking. 8(2). 657–671. 15 indexed citations
4.
Carretero, Rafael García, Luis Vigil, Óscar Barquero‐Pérez, et al.. (2020). Logistic LASSO and Elastic Net to Characterize Vitamin D Deficiency in a Hypertensive Obese Population. Metabolic Syndrome and Related Disorders. 18(2). 79–85. 18 indexed citations
5.
Pastor‐Pérez, Francisco J., Arcadi Garcı́a-Alberola, Marina Navarro Peñalver, et al.. (2018). Lack of improvement in autonomic cardiac tone after sacubitril/valsartan at lower than target doses. Journal of Electrocardiology. 52. 99–100. 2 indexed citations
6.
Barquero‐Pérez, Óscar, et al.. (2017). Fetal Heart Rate Analysis for Automatic Detection of Perinatal Hypoxia Using Normalized Compression Distance and Machine Learning. Frontiers in Physiology. 8. 113–113. 17 indexed citations
7.
Lenis, Gustavo, Arcadi Garcı́a-Alberola, José Luis Rojo‐Álvarez, et al.. (2014). Post extrasystolic T wave change in subjectswith structural healthy ventricles - Measurement and simulation. Computing in Cardiology. 1069–1072. 4 indexed citations
8.
Goya–Esteban, Rebeca, et al.. (2013). A modified Hilbert-Huang algorithm to assess spectral parameters in intense exercise. Computing in Cardiology Conference. 409–412. 1 indexed citations
9.
Barquero‐Pérez, Óscar, et al.. (2013). eLab: A web-based platform to perform HRV and HRT analysis and store cardiac signals. Computing in Cardiology Conference. 21–24. 1 indexed citations
10.
Goya–Esteban, Rebeca, et al.. (2013). Heart rate variability and phantom pain in male amputees: Application of linear and nonlinear methods. The Journal of Rehabilitation Research and Development. 50(3). 449–449. 9 indexed citations
11.
González‐González, María, Óscar Barquero‐Pérez, Cristina Soguero-Ruíz, et al.. (2013). Nonlinear Characteristics of Ventricular FibrillationDepend on Myocardial Infarction Locations.. Computing in Cardiology Conference. 619–622. 1 indexed citations
12.
Barquero‐Pérez, Óscar, Carlos Figuera, Rebeca Goya–Esteban, et al.. (2012). Heart Rate Turbulence modulation with coupling interval and heart rate. Computing in Cardiology. 173–176. 2 indexed citations
13.
Goya–Esteban, Rebeca, et al.. (2012). Heart Rate Variability non linear dynamics in intense exercise. Computing in Cardiology. 177–180. 11 indexed citations
14.
Soguero-Ruíz, Cristina, Inmaculada Mora-Jiménez, Javier Ramos, et al.. (2012). Ontology for Heart Rate Turbulence domain applying the conceptual model of SNOMED-CT. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 89–92. 1 indexed citations
15.
Barquero‐Pérez, Óscar, Rebeca Goya–Esteban, Estrella Everss, et al.. (2011). Relationship between heart rate turbulence and local physiological variables in heart failure patients. Computing in Cardiology. 93–96. 1 indexed citations
16.
Goya–Esteban, Rebeca, Óscar Barquero‐Pérez, Antonio J. Caamaño, et al.. (2011). Usefulness of 7-day Holter monitoring for heart rate variability nonlinear dynamics evaluation. Computing in Cardiology. 105–108. 3 indexed citations
17.
Goya–Esteban, Rebeca, Inmaculada Mora-Jiménez, Manuel Blanco–Velasco, et al.. (2010). Signal processing subsystem validation for T-wave alternans estimation. Computing in Cardiology. 1035–1038. 1 indexed citations
18.
Barquero‐Pérez, Óscar, Inmaculada Mora-Jiménez, Rebeca Goya–Esteban, et al.. (2010). Effect of physiological changes in Heart Rate Turbulence using a lumped parameter model. Computing in Cardiology. 241–244.
19.
Goya–Esteban, Rebeca, Inmaculada Mora-Jiménez, José Luis Rojo‐Álvarez, et al.. (2009). Rhythmometric analysis of Heart Rate Variability indices during long term monitoring. 57–60. 1 indexed citations
20.
Barquero‐Pérez, Óscar, José Luis Rojo‐Álvarez, Jesús Requena Carrión, et al.. (2009). Cardiac arrhythmia spectral analysis of electrogram signals using Fourier Organization Analysis. 333–336. 1 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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