Alejandro Alcaine

518 total citations
31 papers, 333 citations indexed

About

Alejandro Alcaine is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Alejandro Alcaine has authored 31 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cardiology and Cardiovascular Medicine, 6 papers in Biomedical Engineering and 5 papers in Cognitive Neuroscience. Recurrent topics in Alejandro Alcaine's work include Cardiac electrophysiology and arrhythmias (18 papers), ECG Monitoring and Analysis (15 papers) and Cardiac Arrhythmias and Treatments (14 papers). Alejandro Alcaine is often cited by papers focused on Cardiac electrophysiology and arrhythmias (18 papers), ECG Monitoring and Analysis (15 papers) and Cardiac Arrhythmias and Treatments (14 papers). Alejandro Alcaine collaborates with scholars based in Spain, Netherlands and Italy. Alejandro Alcaine's co-authors include Óscar Cámara, Pablo Laguna, Antonio Berruezo, David Soto‐Iglesias, Raquel Bailón, Jesús Lázaro, Rubén Doste, Eduardo Gil, Rafael Sebastián and Esther Pueyo and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Biomedical Engineering and Frontiers in Physiology.

In The Last Decade

Alejandro Alcaine

28 papers receiving 328 citations

Peers

Alejandro Alcaine

CCM

RNMI

PRM

Nicolas Pilia Germany

Alba Martín-Yebra Spain

Lucie Maršánová Czechia

Julià Camps United Kingdom

M. Kania Poland

Aviv A. Rosenberg Israel

Fayzan Chaudhry United States

Remo Leber Switzerland

S. Suave Lobodziński United States

Walther H. W. Schulze Germany

Nicolas Pilia Germany

Alejandro Alcaine

244 ×0.8

CCM

79 ×0.7

82 ×1.1

19 ×0.7

RNMI

45 ×2.0

PRM

Citations per year, relative to Alejandro Alcaine Alejandro Alcaine (= 1×) peers Nicolas Pilia

Countries citing papers authored by Alejandro Alcaine

Since Specialization

Citations

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

Fields of papers citing papers by Alejandro Alcaine

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alejandro Alcaine. 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 Alejandro Alcaine. The network helps show where Alejandro Alcaine may publish in the future.

Co-authorship network of co-authors of Alejandro Alcaine

This figure shows the co-authorship network connecting the top 25 collaborators of Alejandro Alcaine. A scholar is included among the top collaborators of Alejandro Alcaine 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 Alejandro Alcaine. Alejandro Alcaine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Sánchez‐Marteles, Marta, et al.. (2025). VExUS Protocol Along Cardiorenal Syndrome: An Updated Review. Journal of Clinical Medicine. 14(4). 1334–1334.

Garcés‐Horna, Vanesa, Marta Sánchez‐Marteles, Juan Pablo Martínez, et al.. (2024). Automatic Segmentation of the Inferior Vena Cava from M-mode Ultrasound Images. Computing in cardiology. 51.

Acosta, Juan, et al.. (2024). Generalising electrocardiogram detection and delineation: training convolutional neural networks with synthetic data augmentation. Frontiers in Cardiovascular Medicine. 11. 1341786–1341786. 3 indexed citations

Alcaine, Alejandro, Laura Martínez-Mateu, Javier Sáiz, et al.. (2022). Atrial fibrosis identification with unipolar electrogram eigenvalue distribution analysis in multi-electrode arrays. Medical & Biological Engineering & Computing. 60(11). 3091–3112. 2 indexed citations

Alcaine, Alejandro, et al.. (2021). Delineation of the electrocardiogram with a mixed-quality-annotations dataset using convolutional neural networks. Scientific Reports. 11(1). 863–863. 45 indexed citations

Alcaine, Alejandro, Laura Martínez-Mateu, Sérgio Laranjo, et al.. (2021). Characterization of Atrial Propagation Patterns and Fibrotic Substrate With a Modified Omnipolar Electrogram Strategy in Multi-Electrode Arrays. Frontiers in Physiology. 12. 674223–674223. 7 indexed citations

Alcaine, Alejandro, Beatriz Jáuregui, David Soto‐Iglesias, et al.. (2020). Automatic Detection of Slow Conducting Channels during Substrate Ablation of Scar-Related Ventricular Arrhythmias. Journal of Interventional Cardiology. 2020. 1–13.

Alcaine, Alejandro, et al.. (2019). Characterization of Propagation Patterns With Omnipolar EGM in Epicardial Multi-Electrode Arrays. Zaguan (University of Zaragoza Repository). 1–4. 1 indexed citations

Alcaine, Alejandro, et al.. (2019). U-Net Architecture for the Automatic Detection and Delineation of the Electrocardiogram. Computing in Cardiology Conference. 1–4. 8 indexed citations

10.

Doste, Rubén, Miguel Lozano, Juan F. Gómez, et al.. (2019). Predicting the Origin of Outflow Tract Ventricular Arrhythmias Using Machine Learning Techniques Trained With Patient-Specific Electrophysiological Simulations. Computing in Cardiology Conference. 1–4. 2 indexed citations

11.

Alcaine, Alejandro, et al.. (2019). U-Net Architecture for the Automatic Detection and Delineation of the Electrocardiogram. Computing in cardiology. 45. 17 indexed citations

12.

Alcaine, Alejandro, et al.. (2019). Characterization of Propagation Patterns With Omnipolar EGM in Epicardial Multi-Electrode Arrays. Computing in cardiology. 1 indexed citations

13.

Doste, Rubén, David Soto‐Iglesias, Alejandro Alcaine, et al.. (2018). A rule-based method to model myocardial fiber orientation in cardiac biventricular geometries with outflow tracts. Repositori digital de la UPF (Universitat Pompeu Fabra). 84 indexed citations

14.

Soto‐Iglesias, David, Juan Acosta, Diego Penela, et al.. (2018). Image-based criteria to identify the presence of epicardial arrhythmogenic substrate in patients with transmural myocardial infarction. Heart Rhythm. 15(6). 814–821. 20 indexed citations

15.

Acosta, Juan, David Soto‐Iglesias, Juan Fernández‐Armenta, et al.. (2017). Clinical validation of automatic local activation time annotation during focal premature ventricular complex ablation procedures. EP Europace. 20(FI2). f171–f178. 9 indexed citations

16.

Alcaine, Alejandro, Natasja M.S. de Groot, Pablo Laguna, Juan Pablo Martínez, & Richard Houben. (2015). Estimation of high-density activation maps during atrial fibrillation. 87. 825–828. 1 indexed citations

17.

Lázaro, Jesús, Alejandro Alcaine, Daniel Romero, et al.. (2014). Electrocardiogram Derived Respiratory Rate from QRS Slopes and R-Wave Angle. Annals of Biomedical Engineering. 42(10). 2072–2083. 58 indexed citations

18.

Hernando, David, Alejandro Alcaine, Pablo Laguna, Esther Pueyo, & Raquel Bailón. (2013). Very low frequency modulation in QRS slopes and its relation with respiration and heart rate variability during hemodialysis. PubMed. 229. 5365–5368. 1 indexed citations

19.

Alcaine, Alejandro, Fernando Simón, Ángel Arenal, Pablo Laguna, & Juan Pablo Martínez. (2012). A wavelet-based activation detector for bipolar electrogram analysis during atrial fibrillation. Computing in Cardiology. 717–720. 4 indexed citations

20.

Alcaine, Alejandro, Raquel Bailón, Daniel Romero, Esther Pueyo, & Pablo Laguna. (2011). Very-low-frequency modulation of QRS slopes in patients with angina pectoris. Computing in Cardiology. 757–760. 3 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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