V.M. Brea

1.5k total citations
102 papers, 930 citations indexed

About

V.M. Brea is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, V.M. Brea has authored 102 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Electrical and Electronic Engineering, 35 papers in Computer Vision and Pattern Recognition and 21 papers in Computer Networks and Communications. Recurrent topics in V.M. Brea's work include CCD and CMOS Imaging Sensors (38 papers), Advanced Memory and Neural Computing (26 papers) and Video Surveillance and Tracking Methods (16 papers). V.M. Brea is often cited by papers focused on CCD and CMOS Imaging Sensors (38 papers), Advanced Memory and Neural Computing (26 papers) and Video Surveillance and Tracking Methods (16 papers). V.M. Brea collaborates with scholars based in Spain, Finland and Chile. V.M. Brea's co-authors include Manuel Mucientes, D. Cabello, P. López, D.L. Vilariño, Alberto Del Bimbo, Lorenzo Seidenari, Ricardo Carmona‐Galán, Á. Rodríguez‐Vázquez, A.J. Nieto and Juan M. Carrillo and has published in prestigious journals such as IEEE Transactions on Power Electronics, Sensors and IEEE Journal of Solid-State Circuits.

In The Last Decade

V.M. Brea

94 papers receiving 898 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V.M. Brea Spain 16 427 338 144 136 132 102 930
Hongshan Yu China 19 491 1.1× 257 0.8× 106 0.7× 250 1.8× 314 2.4× 52 1.1k
Alfredo Gardel Spain 20 536 1.3× 417 1.2× 148 1.0× 166 1.2× 142 1.1× 104 1.2k
Hyunchul Shin South Korea 16 466 1.1× 338 1.0× 128 0.9× 88 0.6× 99 0.8× 93 970
Christos Kyrkou Cyprus 15 467 1.1× 229 0.7× 134 0.9× 159 1.2× 190 1.4× 53 851
Hongpeng Wang China 18 484 1.1× 128 0.4× 74 0.5× 178 1.3× 149 1.1× 77 1.0k
Guanghui He China 17 468 1.1× 461 1.4× 218 1.5× 73 0.5× 116 0.9× 126 1.1k
Anhong Wang China 19 749 1.8× 257 0.8× 91 0.6× 58 0.4× 99 0.8× 170 1.2k
Lei Yu China 22 507 1.2× 149 0.4× 76 0.5× 370 2.7× 71 0.5× 114 1.2k
Ruihang Ji Singapore 15 159 0.4× 104 0.3× 133 0.9× 118 0.9× 121 0.9× 47 1.1k

Countries citing papers authored by V.M. Brea

Since Specialization
Citations

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

Fields of papers citing papers by V.M. Brea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V.M. Brea

This figure shows the co-authorship network connecting the top 25 collaborators of V.M. Brea. A scholar is included among the top collaborators of V.M. Brea 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 V.M. Brea. V.M. Brea 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.
Seidenari, Lorenzo, et al.. (2025). A fine-tuning approach based on spatio-temporal features for few-shot video object detection. Engineering Applications of Artificial Intelligence. 146. 110198–110198. 1 indexed citations
2.
López, P., et al.. (2024). Live Demonstration: 5-bit signed SRAM-based DNN CIM for Image Recognition. 1–1. 1 indexed citations
3.
López, P., et al.. (2024). Global shutter CMOS vision sensors and event cameras for on‐chip dynamic information. International Journal of Circuit Theory and Applications. 52(6). 3052–3065. 2 indexed citations
5.
Mucientes, Manuel, et al.. (2023). Depth Estimation and Image Restoration by Deep Learning From Defocused Images. IEEE Transactions on Computational Imaging. 9. 607–619. 13 indexed citations
6.
Brea, V.M., et al.. (2022). Real-time siamese multiple object tracker with enhanced proposals. Pattern Recognition. 135. 109141–109141. 2 indexed citations
7.
Brea, V.M., et al.. (2022). Design of a 5-bit Signed SRAM-based In-Memory Computing Cell for Deep Learning Models. 2022 IEEE International Symposium on Circuits and Systems (ISCAS). 702–706. 3 indexed citations
9.
Brea, V.M., et al.. (2021). HDR 4T-APS Pixel for Event Generation by Frame Differencing. Zenodo (CERN European Organization for Nuclear Research). 921–924. 5 indexed citations
10.
Brea, V.M., et al.. (2021). Tracking more than 100 arbitrary objects at 25 FPS through deep learning. Pattern Recognition. 121. 108205–108205. 10 indexed citations
11.
López, P., et al.. (2019). Ultralow power voltage reference circuit for implantable devices in standard CMOS technology. International Journal of Circuit Theory and Applications. 47(7). 991–1005. 6 indexed citations
12.
Mucientes, Manuel, et al.. (2018). STDnet: A ConvNet for Small Target Detection.. British Machine Vision Conference. 253. 13 indexed citations
14.
Rodríguez‐Vázquez, Á., Ricardo Carmona‐Galán, Jorge Fernández‐Berni, V.M. Brea, & Juan A. Leñero‐Bardallo. (2017). In the quest of vision-sensors-on-chip: Pre-processing sensors for data reduction. Electronic Imaging. 29(11). 96–101. 8 indexed citations
15.
Doménech‐Asensi, Ginés, et al.. (2014). Simplification and hardware implementation of the feature descriptor vector calculation in the SIFT algorithm. 1–4. 3 indexed citations
16.
Brea, V.M., et al.. (2014). Gaussian pyramid extraction with a CMOS vision sensor. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 1–2. 1 indexed citations
17.
Brea, V.M., et al.. (2013). A 176×120 pixel CMOS vision chip for Gaussian filtering with massivelly Parallel CDS and A/D-conversion. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 1–4. 1 indexed citations
18.
Brea, V.M., et al.. (2010). In-pixel ADC for a vision architecture on CMOS-3D technology. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 1–7. 4 indexed citations
19.
Brea, V.M., et al.. (2010). Offset-compensated comparator with full-input range in 150nm FDSOI CMOS-3D technology. 164–167. 1 indexed citations
20.
Nieto, A.J., V.M. Brea, & D.L. Vilariño. (2008). SIMD array on FPGA for B/W image processing. 202–207. 6 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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