V.M. Brea
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Instrumentation top 10%
Papers in
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- CCD and CMOS Imaging Sensors 38
- Advanced Memory and Neural Computing 26
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- Video Surveillance and Tracking Methods 16
- Advanced Image and Video Retrieval Techniques 13
- Advanced Neural Network Applications 10
- Co-authors
- Manuel Mucientes (16 shared papers)D. Cabello (52 shared papers)P. López (40 shared papers)D.L. Vilariño (21 shared papers)Lorenzo Seidenari (2 shared papers)Alberto Del Bimbo (2 shared papers)Á. Rodríguez‐Vázquez (13 shared papers)Ricardo Carmona‐Galán (13 shared papers)
In The Last Decade
V.M. Brea
94 papers receiving 898 citations
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 427
- Instrumentation 35
- Media Technology 88
- Computer Networks and Communications 144
- Electrical and Electronic Engineering 338
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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 113 | |
| 2 | 2019 | 77 | |
| 3 | 2020 | 61 | |
| 4 | 2019 | 56 | |
| 5 | 2021 | 43 | |
| 6 | 2003 | 26 | |
| 7 | 2018 | 25 | |
| 8 | 1998 | 23 | |
| 9 | 2019 | 23 | |
| 10 | 2015 | 23 | |
| 11 | 2021 | 22 | |
| 12 | 2017 | 21 | |
| 13 | 2004 | 19 | |
| 14 | 2012 | 19 | |
| 15 | 2016 | 18 | |
| 16 | 2021 | 18 | |
| 17 | 2009 | 14 | |
| 18 | 2022 | 14 | |
| 19 | STDnet: A ConvNet for Small Target Detection. | 2018 | 13 |
| 20 | 2023 | 13 |
About V.M. Brea
V.M. Brea is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence and Media Technology, having authored 102 papers that have together received 930 indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (38 papers), Advanced Memory and Neural Computing (26 papers), Video Surveillance and Tracking Methods (16 papers), Neural Networks Stability and Synchronization (16 papers), Advanced Image and Video Retrieval Techniques (13 papers), Image Processing Techniques and Applications (11 papers), Neural Networks and Applications (11 papers) and Advanced Neural Network Applications (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (427 citations), Instrumentation (35 citations), Media Technology (88 citations), Computer Networks and Communications (144 citations) and Electrical and Electronic Engineering (338 citations). V.M. Brea has collaborated with scholars based in Spain, Finland and Chile. Frequent co-authors include Manuel Mucientes, D. Cabello, P. López, D.L. Vilariño, Lorenzo Seidenari, Alberto Del Bimbo, Á. Rodríguez‐Vázquez, Ricardo Carmona‐Galán, A.J. Nieto and A. Paasio. Their work appears in journals such as International Journal of Circuit Theory and Applications, Pattern Recognition, Engineering Applications of Artificial Intelligence, IEEE Internet of Things Journal and IEEE Sensors 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.