Óscar Cámara

8.1k total citations · 1 hit paper
154 papers, 3.0k citations indexed

About

Óscar Cámara is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Óscar Cámara has authored 154 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Cardiology and Cardiovascular Medicine, 39 papers in Radiology, Nuclear Medicine and Imaging and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Óscar Cámara's work include Cardiac Arrhythmias and Treatments (43 papers), Cardiac electrophysiology and arrhythmias (35 papers) and Atrial Fibrillation Management and Outcomes (34 papers). Óscar Cámara is often cited by papers focused on Cardiac Arrhythmias and Treatments (43 papers), Cardiac electrophysiology and arrhythmias (35 papers) and Atrial Fibrillation Management and Outcomes (34 papers). Óscar Cámara collaborates with scholars based in Spain, France and United Kingdom. Óscar Cámara's co-authors include David Hill, William R. Crum, Maxime Sermesant, Olivier Colliot, Isabelle Bloch, Alejandro Alcaine, Alejandro F. Frangi, Antonio Berruezo, Etelvino Silva and Marta Nuñez‐Garcia and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Óscar Cámara

145 papers receiving 3.0k citations

Hit Papers

Generalized Overlap Measu... 2006 2026 2012 2019 2006 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Óscar Cámara Spain 28 1.4k 1.1k 606 497 245 154 3.0k
Vicente Grau United Kingdom 30 1.0k 0.7× 1.2k 1.2× 943 1.6× 669 1.3× 283 1.2× 144 3.5k
Wenjia Bai United Kingdom 26 801 0.6× 1.3k 1.2× 1.1k 1.8× 534 1.1× 180 0.7× 91 2.9k
Tommaso Mansi United States 24 649 0.5× 646 0.6× 481 0.8× 442 0.9× 135 0.6× 80 1.8k
Maxime Sermesant France 37 2.6k 1.8× 1.6k 1.5× 636 1.0× 979 2.0× 352 1.4× 171 4.4k
Declan P. O’Regan United Kingdom 32 1.7k 1.1× 1.4k 1.3× 687 1.1× 420 0.8× 717 2.9× 150 3.5k
Zhifan Gao China 31 645 0.4× 1.1k 1.0× 818 1.3× 630 1.3× 298 1.2× 111 2.5k
Elsa D. Angelini France 24 359 0.2× 1.3k 1.2× 1.1k 1.9× 628 1.3× 623 2.5× 166 3.1k
Martin Rajchl Canada 22 311 0.2× 640 0.6× 584 1.0× 264 0.5× 186 0.8× 61 1.6k
Gemma Piella Spain 25 422 0.3× 576 0.5× 1.1k 1.8× 322 0.6× 119 0.5× 122 2.7k
Alain Lalande France 27 696 0.5× 1.0k 0.9× 392 0.6× 420 0.8× 607 2.5× 146 2.7k

Countries citing papers authored by Óscar Cámara

Since Specialization
Citations

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

Fields of papers citing papers by Óscar Cámara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Óscar Cámara

This figure shows the co-authorship network connecting the top 25 collaborators of Óscar Cámara. A scholar is included among the top collaborators of Óscar Cámara 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 Óscar Cámara. Óscar Cámara 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
2.
Comte, Valentin, F. Crovetto, Óscar Cámara, et al.. (2024). Deep cascaded registration and weakly-supervised segmentation of fetal brain MRI. Heliyon. 11(1). e40148–e40148.
3.
Olivares, Andy L., Óscar Cámara, Wolfgang M. Kuebler, et al.. (2024). Inference of alveolar capillary network connectivity from blood flow dynamics. American Journal of Physiology-Lung Cellular and Molecular Physiology. 327(6). L852–L866.
4.
Falasconi, Giulio, Diego Penela, David Soto‐Iglesias, et al.. (2024). Personalized pulmonary vein isolation with very high-power short-duration lesions guided by left atrial wall thickness: the QDOT-by-LAWT randomized trial. EP Europace. 26(4). 12 indexed citations
5.
Mill, Jordi, Andy L. Olivares, Mario Ceresa, et al.. (2022). Domain expert evaluation of advanced visual computing solutions and 3D printing for the planning of the left atrial appendage occluder interventions. International Journal of Bioprinting. 9(1). 640–640. 6 indexed citations
6.
Cresti, Alberto & Óscar Cámara. (2022). Left Atrial Thrombus—Are All Atria and Appendages Equal?. Interventional Cardiology Clinics. 11(2). 121–134. 1 indexed citations
7.
Lorenzi, Marco, et al.. (2021). Biophysics-based statistical learning: Application to heart and brain interactions. Medical Image Analysis. 72. 102089–102089. 7 indexed citations
8.
Langet, Hélène, et al.. (2021). Decision Tree Learning for Uncertain Clinical Measurements. Lirias (KU Leuven). 4 indexed citations
9.
Bragard, J., Óscar Cámara, Blas Echebarria, et al.. (2020). Modelización computacional cardiaca. Revista Española de Cardiología. 74(1). 65–71. 7 indexed citations
10.
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.
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.
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.
Brugaletta, Salvatore, David Andreu, Ana Paula Dantas, et al.. (2016). Three-dimensional printing of an aortic model for transcatheter aortic valve implantation: possible clinical applications. International journal of cardiac imaging. 33(2). 283–285. 14 indexed citations
15.
Cámara, Óscar, Tommaso Mansi, & Mihaela Pop. (2015). Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges: 5th International Workshop, STACOM 2014, Held in ... September 18, 2014, Revised Selected Papers. Springer eBooks. 2 indexed citations
16.
Soto‐Iglesias, David, Nicolás Duchateau, Constantine Butakoff, et al.. (2014). Quantitative analysis of CRT leads position against activation time recovery in an experimental swine model. European Heart Journal. 35. 85–85. 1 indexed citations
17.
Cámara, Óscar, Tommaso Mansi, Mihaela Pop, et al.. (2013). Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges Third International Workshop, STACOM 2012, Held in ... Vision, Pattern Recognition, and Graphics). Springer eBooks. 1 indexed citations
18.
Craene, Mathieu De, Gemma Piella, Óscar Cámara, et al.. (2011). Temporal diffeomorphic free-form deformation: Application to motion and strain estimation from 3D echocardiography. Medical Image Analysis. 16(2). 427–450. 90 indexed citations
19.
Craene, Mathieu De, Óscar Cámara, Bart Bijnens, & Alejandro F. Frangi. (2009). Large Diffeomorphic FFD Registration for Motion and Strain Quantification from 3D-US Sequences. Lecture notes in computer science. 5528. 437–446.
20.
Cámara, Óscar, Rachael I. Scahill, Julia A. Schnabel, et al.. (2007). Accuracy assessment of global and local atrophy measurement techniques with realistic simulated longitudinal data. Lecture notes in computer science. 785–792. 2 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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