Luis A. Camuñas-Mesa
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- Neuroscience and Neural Engineering 17
- Photoreceptor and optogenetics research 3
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 11
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- Advanced Memory and Neural Computing 28
- CCD and CMOS Imaging Sensors 19
- Ferroelectric and Negative Capacitance Devices 7
- Energy Harvesting in Wireless Networks 3
- Artificial Intelligence top 10%
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- Cognitive Radio Networks and Spectrum Sensing 5
- Co-authors
- B. Linares-BarrancoTeresa Serrano‐GotarredonaCarlos Zamarreño-RamosJ. A. Pérez‐CarrascoTimothée MasquelierAntonio J. AcostaAlejandro Linares-BarrancoRodrigo Quian Quiroga
- Cited by
- Cellular and Molecular NeuroscienceCognitive NeuroscienceElectrical and Electronic Engineering
In The Last Decade
Luis A. Camuñas-Mesa
34 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 53
- Cellular and Molecular Neuroscience 641
- Cognitive Neuroscience 455
- Electrical and Electronic Engineering 1.1k
- Artificial Intelligence 159
- Computer Vision and Pattern Recognition 80
Countries citing papers authored by Luis A. Camuñas-Mesa
This map shows the geographic impact of Luis A. Camuñas-Mesa'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 Luis A. Camuñas-Mesa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luis A. Camuñas-Mesa more than expected).
Fields of papers citing papers by Luis A. Camuñas-Mesa
This network shows the impact of papers produced by Luis A. Camuñas-Mesa. 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 Luis A. Camuñas-Mesa. The network helps show where Luis A. Camuñas-Mesa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Luis A. Camuñas-Mesa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 12 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 13 | |
| 9 | 2021 | 1 | |
| 10 | 2019 | 83 | |
| 11 | 2018 | 21 | |
| 12 | 2017 | 44 | |
| 13 | 2014 | 44 | |
| 14 | 2014 | 5 | |
| 15 | 2014 | 19 | |
| 16 | 2011 | 397 | |
| 17 | 2010 | 26 | |
| 18 | 2010 | 6 | |
| 19 | 2009 | 236 | |
| 20 | 2007 | 14 |
About Luis A. Camuñas-Mesa
Luis A. Camuñas-Mesa is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (28 papers), CCD and CMOS Imaging Sensors (19 papers), Neuroscience and Neural Engineering (17 papers), Neural dynamics and brain function (11 papers), Ferroelectric and Negative Capacitance Devices (7 papers), Cognitive Radio Networks and Spectrum Sensing (5 papers), Energy Harvesting in Wireless Networks (3 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (641 citations), Cognitive Neuroscience (455 citations) and Electrical and Electronic Engineering (1.1k citations). Luis A. Camuñas-Mesa has collaborated with scholars based in Spain, France and Egypt. Frequent co-authors include B. Linares-Barranco, Teresa Serrano‐Gotarredona, Carlos Zamarreño-Ramos, J. A. Pérez‐Carrasco, Timothée Masquelier, Antonio J. Acosta, Alejandro Linares-Barranco, Rodrigo Quian Quiroga, Ryad Benosman and R. Serrano-Gotarredona. Their work appears in journals such as IEEE Access, IEEE Journal of Solid-State Circuits and Neural Computation.
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.