R. Paz-Vicente
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- Neuroscience and Neural Engineering 14
- Photoreceptor and optogenetics research 1
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function 9
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- Advanced Memory and Neural Computing 21
- CCD and CMOS Imaging Sensors 14
- Radiation Effects in Electronics 1
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- Neural Networks and Applications 1
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- Radiation Detection and Scintillator Technologies 1
- Co-authors
- Alejandro Linares-BarrancoG. JiménezA BalcellsÁngel Jiménez-FernándezF. Gómez-RodríguezR. Serrano-GotarredonaTeresa Serrano‐GotarredonaB. Linares-Barranco
- Cited by
- Cellular and Molecular NeuroscienceCognitive NeuroscienceElectrical and Electronic Engineering
- Partner nations
- SpainSwitzerlandNorway
In The Last Decade
R. Paz-Vicente
21 papers receiving 462 citations
Peers
Comparison fields: 5 of 32
- Cellular and Molecular Neuroscience 262
- Cognitive Neuroscience 211
- Electrical and Electronic Engineering 430
- Artificial Intelligence 62
- Computer Vision and Pattern Recognition 26
Countries citing papers authored by R. Paz-Vicente
This map shows the geographic impact of R. Paz-Vicente'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 R. Paz-Vicente with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Paz-Vicente more than expected).
Fields of papers citing papers by R. Paz-Vicente
This network shows the impact of papers produced by R. Paz-Vicente. 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 R. Paz-Vicente. The network helps show where R. Paz-Vicente may publish in the future.
Co-authorship network
The 24 scholars most cited alongside R. Paz-Vicente, 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 | 2015 | 6 | |
| 2 | 2012 | 5 | |
| 3 | 2012 | 57 | |
| 4 | A perfomance comparison study between synchronous and asynchronous FPGA for spike based systems. Under the AER synthetic generation | 2011 | 2 |
| 5 | 2011 | 6 | |
| 6 | 2010 | 7 | |
| 7 | 2010 | 15 | |
| 8 | 2010 | 1 | |
| 9 | 2009 | 236 | |
| 10 | 2009 | 5 | |
| 11 | 2009 | 2 | |
| 12 | 2008 | 1 | |
| 13 | 2008 | 3 | |
| 14 | 2008 | 10 | |
| 15 | 2006 | 20 | |
| 16 | PCI-AERinterface forNeuro-inspired Spiking Systems | 2006 | 1 |
| 17 | 2006 | 3 | |
| 18 | 2006 | 12 | |
| 19 | AER Building Blocks for Multi-Layer Multi-Chip Neuromorphic Vision Systems | 2005 | 56 |
| 20 | 2005 | 2 |
About R. Paz-Vicente
R. Paz-Vicente is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 21 papers that have together received 469 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (21 papers), CCD and CMOS Imaging Sensors (14 papers), Neuroscience and Neural Engineering (14 papers), Neural dynamics and brain function (9 papers), Radiation Effects in Electronics (1 paper), Photoreceptor and optogenetics research (1 paper), Neural Networks and Applications (1 paper) and Radiation Detection and Scintillator Technologies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (262 citations), Cognitive Neuroscience (211 citations) and Electrical and Electronic Engineering (430 citations). R. Paz-Vicente has collaborated with scholars based in Spain, Switzerland and Norway. Frequent co-authors include Alejandro Linares-Barranco, G. Jiménez, A Balcells, Ángel Jiménez-Fernández, F. Gómez-Rodríguez, R. Serrano-Gotarredona, Teresa Serrano‐Gotarredona, B. Linares-Barranco, Matthias Oster and P. Lichtsteiner.
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.