Francisco Castells

2.5k total citations
80 papers, 1.1k citations indexed

About

Francisco Castells is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, Francisco Castells has authored 80 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Cardiology and Cardiovascular Medicine, 21 papers in Cognitive Neuroscience and 17 papers in Signal Processing. Recurrent topics in Francisco Castells's work include Cardiac electrophysiology and arrhythmias (48 papers), ECG Monitoring and Analysis (45 papers) and Cardiac Arrhythmias and Treatments (20 papers). Francisco Castells is often cited by papers focused on Cardiac electrophysiology and arrhythmias (48 papers), ECG Monitoring and Analysis (45 papers) and Cardiac Arrhythmias and Treatments (20 papers). Francisco Castells collaborates with scholars based in Spain, Germany and United States. Francisco Castells's co-authors include José Millet, J.J. Rieta, Andreas Bollmann, Vicente Zarzoso, C. Sánchez, Pablo Laguna, Leif Sörnmo, Andreu M. Climent, María S. Guillem and Julián Pérez‐Villacastín and has published in prestigious journals such as European Heart Journal, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Francisco Castells

72 papers receiving 1.0k citations

Peers

Francisco Castells

CCM

M.P.S. Chawla India

Felipe Alonso‐Atienza Spain

T. Stamkopoulos Greece

Omid Sayadi Iran

S. S. Mehta India

S.N. Tandon India

Chong-Xun Zheng China

Edward J. Berbari United States

Robin L. Murray United States

M.P.S. Chawla India

Francisco Castells

189 ×0.2

CCM

139 ×0.5

102 ×0.4

85 ×0.6

26 ×0.6

Citations per year, relative to Francisco Castells Francisco Castells (= 1×) peers M.P.S. Chawla

Countries citing papers authored by Francisco Castells

Since Specialization

Citations

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

Fields of papers citing papers by Francisco Castells

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francisco Castells

This figure shows the co-authorship network connecting the top 25 collaborators of Francisco Castells. A scholar is included among the top collaborators of Francisco Castells 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 Francisco Castells. Francisco Castells 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

Ramírez, Elisa, Javier Moreno, Juan Jiménez‐Jáimez, et al.. (2025). Endo–epicardial electrical disarray in arrhythmogenic cardiomyopathy with ventricular arrhythmias. Heart Rhythm. 23(3). 654–664. 1 indexed citations

Ramírez, Elisa, et al.. (2024). Quantifying ECG Redundancy through Mutual Information Analysis among Leads and Its Application in CNNs. Computing in cardiology. 51. 1 indexed citations

Ramírez, Elisa, et al.. (2024). Novel synchronization method for vectorcardiogram reconstruction from ECG printouts: A comprehensive validation approach. Biomedical Signal Processing and Control. 91. 106027–106027. 2 indexed citations

Jiménez-Serrano, Santiago, Jorge Sanz‐Sánchez, Yolanda Vives‐Gilabert, et al.. (2024). New ECG biomarkers and sex-stratified models for the detection of Arrhythmogenic Cardiomyopathy with left ventricular involvement. Biomedical Signal Processing and Control. 101. 107224–107224.

Castells, Francisco, Miguel Crespo, Francisco J. Chorro, et al.. (2023). Study of the omnipolar EGM reconstruction for robustness against wavefront propagation in epicardial signals. EP Europace. 25(Supplement_1). 1 indexed citations

Alberola, Antonio, et al.. (2023). Evaluation and assessment of clique arrangements for the estimation of omnipolar electrograms in high density electrode arrays: an experimental animal model study. Physical and Engineering Sciences in Medicine. 46(3). 1193–1204. 4 indexed citations

Alberola, Antonio, et al.. (2023). Vector Field Heterogeneity for the Assessment of Locally Disorganised Cardiac Electrical Propagation Wavefronts From High-Density Multielectrodes. IEEE Open Journal of Engineering in Medicine and Biology. 5. 32–44. 3 indexed citations

Castells, Francisco, et al.. (2023). Performance assessment of electrode configurations for the estimation of omnipolar electrograms from high density arrays. Computers in Biology and Medicine. 154. 106604–106604. 6 indexed citations

Kotas, Marian, et al.. (2021). Estimation of PQ distance dispersion for atrial fibrillation detection. Computer Methods and Programs in Biomedicine. 208. 106167–106167. 6 indexed citations

10.

Contreras-Ortiz, Sonia H., et al.. (2021). Automated Atrial Fibrillation Detection by ECG Signal Processing: A Review. Critical Reviews in Biomedical Engineering. 49(3). 31–50. 2 indexed citations

11.

Meste, Olivier, et al.. (2021). Non-invasive characterisation of macroreentrant atrial tachycardia types from a vectorcardiographic approach with the slow conduction region as a cornerstone. Computer Methods and Programs in Biomedicine. 200. 105932–105932. 6 indexed citations

12.

Vives‐Gilabert, Yolanda, Jorge Sanz‐Sánchez, Pilar Molina, et al.. (2018). Left ventricular myocardial dysfunction in arrhythmogenic cardiomyopathy with left ventricular involvement: A door to improving diagnosis. International Journal of Cardiology. 274. 237–244. 9 indexed citations

13.

Jiménez-Serrano, Santiago, et al.. (2017). Atrial Fibrillation Detection Using Feedforward Neural Networks and Automatically Extracted Signal Features. Computing in cardiology. 44. 19 indexed citations

14.

Filgueiras‐Rama, David, Conrado J. Calvo, Eduardo Armada, et al.. (2015). Spectral analysis-based risk score enables early prediction of mortality and cerebral performance in patients undergoing therapeutic hypothermia for ventricular fibrillation and comatose status. International Journal of Cardiology. 186. 250–258. 9 indexed citations

15.

Moreno, Javier, et al.. (2014). Frequency spectrum correlation along atria to study atrial fibrillation recurrence. Computing in Cardiology. 1125–1128. 3 indexed citations

16.

Moreno, Javier, et al.. (2013). Hurst exponent for the analysis of atrial fibrillation recurrence after ablation procedures. Computing in Cardiology Conference. 1115–1118. 1 indexed citations

17.

Moreno, Javier, et al.. (2012). Quantification of anaesthetic effects on atrial fibrillation rate by partial least-squares. Physiological Measurement. 33(10). 1757–1768. 3 indexed citations

18.

Guillem, María S., Andreas Bollmann, Andreu M. Climent, et al.. (2009). How Many Leads Are Necessary for a Reliable Reconstruction of Surface Potentials During Atrial Fibrillation?. IEEE Transactions on Information Technology in Biomedicine. 13(3). 330–340. 17 indexed citations

19.

Castells, Francisco, J.J. Rieta, José Millet, & Vicente Zarzoso. (2005). Spatiotemporal Blind Source Separation Approach to Atrial Activity Estimation in Atrial Tachyarrhythmias. IEEE Transactions on Biomedical Engineering. 52(2). 258–267. 102 indexed citations

20.

Rieta, J.J., Francisco Castells, C. Sánchez, Vicente Zarzoso, & José Millet. (2004). Atrial Activity Extraction for Atrial Fibrillation Analysis Using Blind Source Separation. IEEE Transactions on Biomedical Engineering. 51(7). 1176–1186. 182 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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