V.M. Brea
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Face recognition and analysis
- Medical Image Segmentation Techniques
Papers in
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- Video Surveillance and Tracking Methods 20
- Advanced Neural Network Applications 16
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- CCD and CMOS Imaging Sensors 23
- Advanced Memory and Neural Computing 15
- Co-authors
- Manuel Mucientes (24 shared papers)Diego Cabello (55 shared papers)Paula Lopez (41 shared papers)D.L. Vilariño (23 shared papers)Alberto Del Bimbo (2 shared papers)Lorenzo Seidenari (2 shared papers)Ricardo Carmona‐Galán (14 shared papers)Angel Rodriguez-Vazquez (14 shared papers)
In The Last Decade
V.M. Brea
106 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 578
- Instrumentation 39
- Hardware and Architecture 54
- Electrical and Electronic Engineering 235
- Biomedical Engineering 145
Countries citing papers authored by V.M. Brea
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
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-authors
The 25 scholars most cited alongside V.M. Brea, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 147 | |
| 2 | 2019 | 88 | |
| 3 | 2015 | 70 | |
| 4 | 2020 | 66 | |
| 5 | 2019 | 61 | |
| 6 | 2021 | 46 | |
| 7 | 2003 | 33 | |
| 8 | 1998 | 29 | |
| 9 | 2021 | 29 | |
| 10 | 2015 | 28 | |
| 11 | 2018 | 26 | |
| 12 | 2019 | 25 | |
| 13 | 2017 | 23 | |
| 14 | 2004 | 21 | |
| 15 | 2023 | 21 | |
| 16 | 2016 | 20 | |
| 17 | 2021 | 20 | |
| 18 | 2012 | 19 | |
| 19 | 2022 | 16 | |
| 20 | STDnet: A ConvNet for Small Target Detection. | 2018 | 15 |
About V.M. Brea
V.M. Brea is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Instrumentation, Biomedical Engineering and Hardware and Architecture, having authored 116 papers that have together received 1.2k indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (29 papers), CCD and CMOS Imaging Sensors (23 papers), Video Surveillance and Tracking Methods (20 papers), Advanced Neural Network Applications (16 papers), Advanced Memory and Neural Computing (15 papers), Embedded Systems Design Techniques (10 papers), Advanced Optical Sensing Technologies (10 papers) and Neural Networks and Applications (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (578 citations), Instrumentation (39 citations), Hardware and Architecture (54 citations), Electrical and Electronic Engineering (235 citations) and Biomedical Engineering (145 citations). V.M. Brea has collaborated with scholars based in Spain, Finland and Germany. Frequent co-authors include Manuel Mucientes, Diego Cabello, Paula Lopez, D.L. Vilariño, Alberto Del Bimbo, Lorenzo Seidenari, Ricardo Carmona‐Galán, Angel Rodriguez-Vazquez, Juan M. Carrillo and A. Paasio. Their work appears in journals such as International Journal of Circuit Theory and Applications, Pattern Recognition, Engineering Applications of Artificial Intelligence, Image and Vision Computing and IEEE Internet of Things Journal.
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.