Raúl Alcaraz
- Cardiology and Cardiovascular Medicine top 1%
- Cognitive Neuroscience top 5%
- Statistical and Nonlinear Physics top 2%
- Computer Networks and Communications top 5%
- Biomedical Engineering top 10%
- Co-authors
- J.J. RietaArturo Martínez‐RodrigoHadi JahanshahiBeatriz García-MartínezAntonio Fernández‐CaballeroStelios BekirosFernando HorneroYu‐Ming Chu
- Topics
- Cardiac electrophysiology and arrhythmias (92 papers)ECG Monitoring and Analysis (90 papers)Atrial Fibrillation Management and Outcomes (68 papers)
In The Last Decade
Raúl Alcaraz
160 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 128
- Cardiology and Cardiovascular Medicine 1.4k
- Cognitive Neuroscience 662
- Statistical and Nonlinear Physics 340
- Computer Networks and Communications 276
- Biomedical Engineering 275
Countries citing papers authored by Raúl Alcaraz
This map shows the geographic impact of Raúl Alcaraz'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 Raúl Alcaraz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raúl Alcaraz more than expected).
Fields of papers citing papers by Raúl Alcaraz
This network shows the impact of papers produced by Raúl Alcaraz. 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 Raúl Alcaraz. The network helps show where Raúl Alcaraz may publish in the future.
Co-authorship network of co-authors of Raúl Alcaraz
This figure shows the co-authorship network connecting the top 25 collaborators of Raúl Alcaraz. A scholar is included among the top collaborators of Raúl Alcaraz 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 Raúl Alcaraz. Raúl Alcaraz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 11 | |
| 10 | 3 | |
| 11 | 58 | |
| 12 | 7 | |
| 13 | 117 | |
| 14 | 1 | |
| 15 | 11 | |
| 16 | 32 | |
| 17 | 44 | |
| 18 | Convolutive Multiband Blind Separation to dissociate atrial from ventricular activity in atrial fibrillation | 0 |
| 19 | Prediction of Atrial Fibrillation termination by approximate entropy in the time-frequency domain | 6 |
| 20 | Wavelet sample entropy: A new approach to predict termination of atrial fibrillation | 25 |
About Raúl Alcaraz
Raúl Alcaraz is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Hardware and Architecture, having authored 177 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (92 papers), ECG Monitoring and Analysis (90 papers) and Atrial Fibrillation Management and Outcomes (68 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.4k citations), Cognitive Neuroscience (662 citations) and Modeling and Simulation (137 citations). Raúl Alcaraz has collaborated with scholars based in Spain, Canada and China. Frequent co-authors include J.J. Rieta, Arturo Martínez‐Rodrigo, Hadi Jahanshahi, Beatriz García-Martínez, Antonio Fernández‐Caballero, Stelios Bekiros, Fernando Hornero, Yu‐Ming Chu, Amin Yousefpour and J. F. Gómez‐Aguilar. Their work appears in journals such as IEEE Access, IEEE Transactions on Biomedical Engineering and Sensors.
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.