Gregorio Bernabé

481 total citations
43 papers, 314 citations indexed

About

Gregorio Bernabé is a scholar working on Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Hardware and Architecture. According to data from OpenAlex, Gregorio Bernabé has authored 43 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 10 papers in Cardiology and Cardiovascular Medicine and 7 papers in Hardware and Architecture. Recurrent topics in Gregorio Bernabé's work include Advanced Data Compression Techniques (16 papers), Image and Signal Denoising Methods (15 papers) and Cardiomyopathy and Myosin Studies (10 papers). Gregorio Bernabé is often cited by papers focused on Advanced Data Compression Techniques (16 papers), Image and Signal Denoising Methods (15 papers) and Cardiomyopathy and Myosin Studies (10 papers). Gregorio Bernabé collaborates with scholars based in Spain, Colombia and Italy. Gregorio Bernabé's co-authors include Juan Fernández, José M. Garcı́a, Manuel E. Acacio, Javier Cuenca, Domingo Giménez, Manuel Ujaldón, Jesús González, José González, Josefa González‐Carrillo and J. Duato and has published in prestigious journals such as IEEE Access, Computer Methods and Programs in Biomedicine and Journal of Clinical Medicine.

In The Last Decade

Gregorio Bernabé

37 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregorio Bernabé Spain 10 170 68 42 35 35 43 314
Alina Mirza Pakistan 9 37 0.2× 89 1.3× 23 0.5× 41 1.2× 27 0.8× 35 268
Karri Chiranjeevi India 10 185 1.1× 21 0.3× 4 0.1× 22 0.6× 67 1.9× 21 287
M. P. Pavan Kumar India 7 222 1.3× 10 0.1× 6 0.1× 12 0.3× 53 1.5× 16 268
Jianyi Liu China 5 194 1.1× 66 1.0× 3 0.1× 38 1.1× 50 1.4× 19 314
Prince Priya Malla India 10 51 0.3× 13 0.2× 6 0.1× 110 3.1× 50 1.4× 13 287
Altaf O. Mulani India 10 72 0.4× 26 0.4× 16 0.4× 26 0.7× 88 2.5× 25 319
Lining Zhang Singapore 8 244 1.4× 22 0.3× 4 0.1× 9 0.3× 64 1.8× 23 334
Marcin Gabryel Poland 5 41 0.2× 13 0.2× 6 0.1× 18 0.5× 59 1.7× 13 148
Jamil Al-Azzeh Jordan 7 121 0.7× 24 0.4× 2 0.0× 21 0.6× 22 0.6× 31 210

Countries citing papers authored by Gregorio Bernabé

Since Specialization
Citations

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

Fields of papers citing papers by Gregorio Bernabé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregorio Bernabé

This figure shows the co-authorship network connecting the top 25 collaborators of Gregorio Bernabé. A scholar is included among the top collaborators of Gregorio Bernabé 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 Gregorio Bernabé. Gregorio Bernabé 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.
Bernabé, Gregorio, et al.. (2024). Expanding the deep-learning model to diagnosis LVNC: limitations and trade-offs. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 12(1). 1 indexed citations
2.
Bernabé, Gregorio, et al.. (2023). Improving a Deep Learning Model to Accurately Diagnose LVNC. Journal of Clinical Medicine. 12(24). 7633–7633. 1 indexed citations
3.
Gómez, Ángel Luis Perales, et al.. (2022). FARMIT: continuous assessment of crop quality using machine learning and deep learning techniques for IoT-based smart farming. Cluster Computing. 25(3). 2163–2178. 27 indexed citations
4.
Bartolini, Sandro, et al.. (2022). Performance portability in a real world application: PHAST applied to Caffe. The International Journal of High Performance Computing Applications. 36(3). 419–439. 1 indexed citations
5.
Bernabé, Gregorio, et al.. (2022). HDNN: a cross-platform MLIR dialect for deep neural networks. The Journal of Supercomputing. 78(11). 13814–13830.
6.
Bernabé, Gregorio, et al.. (2021). Left ventricular non-compaction cardiomyopathy automatic diagnosis using a deep learning approach. Computer Methods and Programs in Biomedicine. 214. 106548–106548. 9 indexed citations
7.
Bernabé, Gregorio, et al.. (2021). Towards an Enhanced Tool for Quantifying the Degree of LV Hyper-Trabeculation. Journal of Clinical Medicine. 10(3). 503–503. 4 indexed citations
8.
Bernabé, Gregorio, et al.. (2017). Exploiting Hybrid Parallelism in the Kinematic Analysis of Multibody Systems Based on Group Equations. Procedia Computer Science. 108. 576–585. 1 indexed citations
9.
Bernabé, Gregorio. (2016). Teaching experience in advanced computer structure. 7. 1–6.
10.
Bernabé, Gregorio, Javier Cuenca, Domingo Giménez, & Josefa González‐Carrillo. (2016). A Training Engine for Automatic Quantification of Left Ventricular Trabeculation from Cardiac MRI. Procedia Computer Science. 80. 2246–2250. 1 indexed citations
11.
Bernabé, Gregorio, et al.. (2015). Auto-tuning techniques for linear algebra routines on hybrid platforms. Journal of Computational Science. 10. 299–310. 7 indexed citations
12.
Bernabé, Gregorio, et al.. (2014). A High Performance Computing Course Guided by the LU Factorization. Procedia Computer Science. 29. 1446–1457. 4 indexed citations
13.
Bernabé, Gregorio, et al.. (2011). The 2D wavelet transform on emerging architectures: GPUs and multicores. Journal of Real-Time Image Processing. 7(3). 145–152. 19 indexed citations
14.
Bernabé, Gregorio, et al.. (2009). A Parallel Implementation of the 2D Wavelet Transform Using CUDA. 111–118. 59 indexed citations
15.
Bernabé, Gregorio, José M. Garcı́a, & José González. (2008). A lossy 3D wavelet transform for high-quality compression of medical video. Journal of Systems and Software. 82(3). 526–534. 13 indexed citations
16.
Bernabé, Gregorio, et al.. (2006). Arquitectura de software basada en la Internet para la simulación virtual de cirugía endoscópica otorrinolaringológica. 35–45.
17.
Bernabé, Gregorio, et al.. (2006). Internet Based Software Architecture for Virtual Simulation of Endoscopic Surgery in Otolaryngology. 1(1). 35–35. 1 indexed citations
18.
Bernabé, Gregorio, Jesús González, José M. Garcı́a, & J. Duato. (2003). Memory conscious 3D wavelet transform. 108–113. 10 indexed citations
19.
Bernabé, Gregorio, et al.. (2003). Virtual surgical tele-simulations in ophthalmology. International Congress Series. 1256. 145–150. 6 indexed citations
20.
Bernabé, Gregorio, Jesús González, José M. Garcı́a, & J. Duato. (2002). A new lossy 3-D wavelet transform for high-quality compression of medical video. 11. 226–231. 21 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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