Andreu M. Climent

2.4k total citations
115 papers, 1.1k citations indexed

About

Andreu M. Climent is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Andreu M. Climent has authored 115 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Cardiology and Cardiovascular Medicine, 13 papers in Molecular Biology and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Andreu M. Climent's work include Cardiac electrophysiology and arrhythmias (84 papers), Cardiac Arrhythmias and Treatments (53 papers) and Atrial Fibrillation Management and Outcomes (47 papers). Andreu M. Climent is often cited by papers focused on Cardiac electrophysiology and arrhythmias (84 papers), Cardiac Arrhythmias and Treatments (53 papers) and Atrial Fibrillation Management and Outcomes (47 papers). Andreu M. Climent collaborates with scholars based in Spain, United States and Germany. Andreu M. Climent's co-authors include María S. Guillem, Francisco Fernández‐Avilés, Felipe Atienza, José Millet, Miguel Rodrigo, Alejandro Liberos, Omer Berenfeld, Ismael Hernández‐Romero, Francisco Castells and Ángel Arenal and has published in prestigious journals such as PLoS ONE, Biomaterials and Circulation Research.

In The Last Decade

Andreu M. Climent

96 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreu M. Climent Spain 21 915 148 121 116 84 115 1.1k
Robert Blake United States 8 835 0.9× 155 1.0× 93 0.8× 53 0.5× 156 1.9× 19 999
Shahriar Iravanian United States 13 447 0.5× 30 0.2× 229 1.9× 152 1.3× 154 1.8× 43 745
Sohail Zahid United States 16 1.1k 1.2× 130 0.9× 78 0.6× 49 0.4× 52 0.6× 33 1.2k
Roy C. P. Kerckhoffs United States 18 1.1k 1.2× 142 1.0× 122 1.0× 282 2.4× 518 6.2× 29 1.3k
Jonathan W. Valvano United States 16 245 0.3× 203 1.4× 48 0.4× 153 1.3× 388 4.6× 56 842
Jacob I. Laughner United States 13 494 0.5× 46 0.3× 86 0.7× 35 0.3× 73 0.9× 25 729
Frederick J. Vetter United States 9 432 0.5× 113 0.8× 139 1.1× 74 0.6× 154 1.8× 18 549
Vicky Y. Wang United States 12 392 0.4× 122 0.8× 114 0.9× 136 1.2× 254 3.0× 36 605
Evelien Hermeling Netherlands 15 640 0.7× 179 1.2× 34 0.3× 175 1.5× 321 3.8× 48 824
Guihua Yao China 10 212 0.2× 82 0.6× 76 0.6× 74 0.6× 49 0.6× 31 423

Countries citing papers authored by Andreu M. Climent

Since Specialization
Citations

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

Fields of papers citing papers by Andreu M. Climent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andreu M. Climent. 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 Andreu M. Climent. The network helps show where Andreu M. Climent may publish in the future.

Co-authorship network of co-authors of Andreu M. Climent

This figure shows the co-authorship network connecting the top 25 collaborators of Andreu M. Climent. A scholar is included among the top collaborators of Andreu M. Climent 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 Andreu M. Climent. Andreu M. Climent 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.
Sánchez, Jorge, Axel Loewe, Ismael Hernández‐Romero, et al.. (2025). Enhancing premature ventricular contraction localization through electrocardiographic imaging and cardiac digital twins. Computers in Biology and Medicine. 190. 109994–109994.
2.
Sánchez, Jorge, Jean-Baptiste Guichard, Till Althoff, et al.. (2025). DYNAMO Framework: Advancing non-invasive, rapid calibration in cardiac digital twin technology. Computers in Biology and Medicine. 197(Pt B). 110974–110974.
3.
Hernández‐Romero, Ismael, Jean-Baptiste Guichard, Roger Borràs, et al.. (2024). Regional conduction velocities determined by noninvasive mapping are associated with arrhythmia-free survival after atrial fibrillation ablation. Heart Rhythm. 21(9). 1570–1580. 5 indexed citations
4.
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6.
Hernández‐Romero, Ismael, et al.. (2023). AF driver detection in pulmonary vein area by electropcardiographic imaging: Relation with a favorable outcome of pulmonary vein isolation. Frontiers in Physiology. 14. 1057700–1057700. 5 indexed citations
7.
Climent, Andreu M., et al.. (2022). Local Conduction Velocity Estimation during Wavefront Collisions and Reentrant Scenarios. Computing in cardiology. 1 indexed citations
8.
9.
Rodrigo, Miguel, Andreu M. Climent, Ismael Hernández‐Romero, et al.. (2020). Noninvasive Assessment of Complexity of Atrial Fibrillation. Circulation Arrhythmia and Electrophysiology. 13(3). e007700–e007700. 25 indexed citations
10.
Climent, Andreu M., Ismael Hernández‐Romero, Alejandro Liberos, et al.. (2019). Effects of Geometry in Atrial Fibrillation Markers Obtained With Electrocardiographic Imaging. Computing in Cardiology Conference. 1–4. 1 indexed citations
11.
Climent, Andreu M., Alejandro Liberos, Miguel Rodrigo, et al.. (2014). Accuracy of inverse solution computation of dominant frequencies and phases during atrial fibrillation. Computing in Cardiology. 41. 537–540. 2 indexed citations
12.
Rodrigo, Miguel, Andreu M. Climent, Alejandro Liberos, et al.. (2014). Non-invasive detection of reentrant drivers during atrial fibrillation: A clinical-computational study. Computing in Cardiology Conference. 41. 9–12. 1 indexed citations
13.
Liberos, Alejandro, et al.. (2013). Accuracy of non-invasive frequency estimation during atrial fibrillation. Computing in Cardiology Conference. 1183–1186.
14.
Liberos, Alejandro, et al.. (2013). Body surface potential propagation maps during macroreentrant atrial arrhythmias. A simulation study. Computing in Cardiology. 915–918. 1 indexed citations
15.
Rodrigo, Miguel, Andreu M. Climent, Alejandro Liberos, et al.. (2013). Non-invasive location of re-entrant propagation patterns during atrial fibrillation. Computing in Cardiology Conference. 1235–1238. 1 indexed citations
16.
Rodrigo, Miguel, Alejandro Liberos, Andreu M. Climent, & María S. Guillem. (2013). Identification of ablation sites in atrial flutter by causal method. Computing in Cardiology. 707–710. 1 indexed citations
17.
Climent, Andreu M., Alejandro Liberos, Esther Pérez David, et al.. (2012). Non-invasive estimation of the activation sequence in the atria during sinus rhythm and atrial tachyarrhythmia. Computing in Cardiology. 901–904. 4 indexed citations
18.
Rodrigo, Miguel, Alejandro Liberos, María S. Guillem, José Millet, & Andreu M. Climent. (2011). Causality relation map: A novel methodology for the identification of hierarchical fibrillatory processes. Computing in Cardiology. 173–176. 5 indexed citations
19.
Climent, Andreu M., José Millet, Paola Berne, et al.. (2011). Fragmentation in Body Surface Potential Mapping recordings from patients with Brugada syndrome. Computing in Cardiology. 637–640. 2 indexed citations
20.
Climent, Andreu M., et al.. (2010). An iterative method for indirectly solving the inverse problem of electrocardiography. Computing in Cardiology. 89–92. 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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