R. Paz-Vicente
- Electrical and Electronic Engineering top 10%
- Cellular and Molecular Neuroscience top 10%
- Cognitive Neuroscience top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Co-authors
- Alejandro Linares-BarrancoG. JiménezA BalcellsÁngel Jiménez-FernándezF. Gómez-RodríguezR. Serrano-GotarredonaTeresa Serrano‐GotarredonaB. Linares-Barranco
- Topics
- Advanced Memory and Neural Computing (21 papers)CCD and CMOS Imaging Sensors (14 papers)Neuroscience and Neural Engineering (14 papers)
- Cited by
- Cellular and Molecular NeuroscienceCognitive NeuroscienceElectrical and Electronic Engineering
- Journals
- SensorsIEEE Transactions on Neural NetworksDIGITAL.CSIC (Spanish National Research Council (CSIC))
- Partner nations
- SpainSwitzerlandNorway
In The Last Decade
R. Paz-Vicente
21 papers receiving 462 citations
Peers
Comparison fields: 5 of 32
- Electrical and Electronic Engineering 430
- Cellular and Molecular Neuroscience 262
- Cognitive Neuroscience 211
- 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 of co-authors of R. Paz-Vicente
This figure shows the co-authorship network connecting the top 25 collaborators of R. Paz-Vicente. A scholar is included among the top collaborators of R. Paz-Vicente 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 R. Paz-Vicente. R. Paz-Vicente is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 5 | |
| 3 | 57 | |
| 4 | A perfomance comparison study between synchronous and asynchronous FPGA for spike based systems. Under the AER synthetic generation | 2 |
| 5 | 6 | |
| 6 | 7 | |
| 7 | 15 | |
| 8 | 1 | |
| 9 | 236 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 10 | |
| 15 | 20 | |
| 16 | PCI-AERinterface forNeuro-inspired Spiking Systems | 1 |
| 17 | 3 | |
| 18 | 12 | |
| 19 | AER Building Blocks for Multi-Layer Multi-Chip Neuromorphic Vision Systems | 56 |
| 20 | 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) and Neuroscience and Neural Engineering (14 papers). 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. Their work appears in journals such as Sensors, IEEE Transactions on Neural Networks and DIGITAL.CSIC (Spanish National Research Council (CSIC)).
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.