J.J. Rieta

3.7k total citations
167 papers, 2.4k citations indexed

About

J.J. Rieta is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, J.J. Rieta has authored 167 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Cardiology and Cardiovascular Medicine, 31 papers in Cognitive Neuroscience and 26 papers in Signal Processing. Recurrent topics in J.J. Rieta's work include ECG Monitoring and Analysis (118 papers), Cardiac electrophysiology and arrhythmias (101 papers) and Atrial Fibrillation Management and Outcomes (70 papers). J.J. Rieta is often cited by papers focused on ECG Monitoring and Analysis (118 papers), Cardiac electrophysiology and arrhythmias (101 papers) and Atrial Fibrillation Management and Outcomes (70 papers). J.J. Rieta collaborates with scholars based in Spain, United Kingdom and Russia. J.J. Rieta's co-authors include Raúl Alcaraz, José Millet, Arturo Martínez‐Rodrigo, Francisco Castells, Vicente Zarzoso, C. Sánchez, Fernando Hornero, Leif Sörnmo, Philip Langley and Alan Murray and has published in prestigious journals such as IEEE Access, IEEE Transactions on Biomedical Engineering and Sensors.

In The Last Decade

J.J. Rieta

151 papers receiving 2.3k citations

Peers

Countries citing papers authored by J.J. Rieta

Since Specialization

Citations

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

Fields of papers citing papers by J.J. Rieta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.J. Rieta

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

#	Work	Indexed citations
1	Deep Learning and Recurrence Information Analysis for the Automatic Detection of Obstructive Sleep Apnea 2025 ·Applied Sciences ·(unknown), Arturo Martínez‐Rodrigo, J.M. Pastor, J.J. Rieta, Raúl Alcaraz	1
2	Peakwise Correlation Pulse Detector: A Novel Method for Noise-Resilient Peak Detection in PPG signals 2025 ·Computing in cardiology ·(unknown), Daniel Suárez, Vicente Bertomeu‐González, Arturo Martínez‐Rodrigo, Raúl Alcaraz, J.J. Rieta	0
3	Combination of frequency- and time-domain characteristics of the fibrillatory waves for enhanced prediction of persistent atrial fibrillation recurrence after catheter ablation 2024 ·Heliyon ·(unknown), (unknown), (unknown), Miguel Á. Arias, (unknown), Sofı́a Calero, J.J. Rieta, Raúl Alcaraz	1
4	A Novel Signal Restoration Method of Noisy Photoplethysmograms for Uninterrupted Health Monitoring 2023 ·Sensors ·(unknown), Roberto Zangróniz, Aurelio Quesada, Fernando Hornero, Raúl Alcaraz, J.J. Rieta	3
5	Novel Entropy-Based Metrics for Long-Term Atrial Fibrillation Recurrence Prediction Following Surgical Ablation: Insights from Preoperative Electrocardiographic Analysis 2023 ·Entropy ·(unknown), (unknown), (unknown), Fernando Hornero, (unknown), Raúl Alcaraz, J.J. Rieta	1
6	Improved Hypertension Risk Assessment with Photoplethysmographic Recordings Combining Deep Learning and Calibration 2023 ·Bioengineering ·(unknown), Vicente Bertomeu‐González, Lorenzo Fácila, Fernando Hornero, Raúl Alcaraz, J.J. Rieta	2
7	Hidden Hazards Beneath Cross-Validation Methods in Machine Learning-Based Sleep Apnea Detection 2022 ·Computing in cardiology ·(unknown), Arturo Martínez‐Rodrigo, J.M. Pastor, J.J. Rieta, (unknown)	2
8	An Efficient Hybrid Methodology for Local Activation Waves Detection under Complex Fractionated Atrial Electrograms of Atrial Fibrillation 2022 ·Sensors ·(unknown), (unknown), Aurelio Quesada, Fernando Hornero, Raúl Alcaraz, J.J. Rieta	4
9	The Relevance of Heart Rate Fluctuation When Evaluating Atrial Substrate Electrical Features in Catheter Ablation of Paroxysmal Atrial Fibrillation 2022 ·Journal of Cardiovascular Development and Disease ·(unknown), José Moreno‐Arribas, (unknown), Fernando Hornero, Raúl Alcaraz, J.J. Rieta	0
10	On the Generalization of Sleep Apnea Detection Methods Based on Heart Rate Variability and Machine Learning 2022 ·IEEE Access ·(unknown), Arturo Martínez‐Rodrigo, J.M. Pastor, J.J. Rieta, Raúl Alcaraz	11
11	The Dissimilar Impact in Atrial Substrate Modificationof Left and Right Pulmonary Veins Isolation after Catheter Ablation of Paroxysmal Atrial Fibrillation 2022 ·Journal of Personalized Medicine ·(unknown), Vicente Bertomeu‐González, Lorenzo Fácila, José Moreno‐Arribas, Raúl Alcaraz, J.J. Rieta	2
12	Comparative Study of Methods for Cycle Length Estimation in Fractionated Electrograms of Atrial Fibrillation 2022 ·Journal of Personalized Medicine ·(unknown), (unknown), José Moreno‐Arribas, Vicente Bertomeu‐González, Raúl Alcaraz, J.J. Rieta	1
13	Preoperative Prediction of Catheter Ablation Outcome in Persistent Atrial Fibrillation Patients through Spectral Organization Analysis of the Surface Fibrillatory Waves 2022 ·Journal of Personalized Medicine ·(unknown), (unknown), (unknown), Miguel Á. Arias, (unknown), Sofı́a Calero, J.J. Rieta, Raúl Alcaraz	3
14	Splitting the P-Wave: Improved Evaluation of Left Atrial Substrate Modification after Pulmonary Vein Isolation of Paroxysmal Atrial Fibrillation 2021 ·Sensors ·(unknown), Vicente Bertomeu‐González, Fernando Hornero, Aurelio Quesada, Raúl Alcaraz, J.J. Rieta	3
15	The stationary wavelet transform as an efficient reductor of powerline interference for atrial bipolar electrograms in cardiac electrophysiology 2019 ·Physiological Measurement ·(unknown), (unknown), J.J. Rieta, Raúl Alcaraz	7
16	Combined Nonlinear Analysis of Atrial and Ventricular Series for Automated Screening of Atrial Fibrillation 2017 ·Complexity ·(unknown), (unknown), Raúl Alcaraz, J.J. Rieta	11
17	Preoperative study of the surface ECG for the prognosis of atrial fibrillation maze surgery outcome at discharge 2014 ·Physiological Measurement ·Antonio Hernández, Raúl Alcaraz, Fernando Hornero, J.J. Rieta	3
18	Convolutive Multiband Blind Separation to dissociate atrial from ventricular activity in atrial fibrillation 2009 ·(unknown), J.J. Rieta, Raúl Alcaraz	0
19	Prediction of Atrial Fibrillation termination by approximate entropy in the time-frequency domain 2006 ·Computing in Cardiology Conference ·(unknown), J.J. Rieta, Raúl Alcaraz, C. Sánchez, (unknown)	6
20	Wavelet sample entropy: A new approach to predict termination of atrial fibrillation 2006 ·Computing in Cardiology Conference ·Raúl Alcaraz, (unknown), (unknown), C. Sánchez, J.J. Rieta	25

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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