Antonio Ríos-Navarro
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Cognitive Neuroscience
- Co-authors
- Alejandro Linares-BarrancoRicardo Tapiador-MoralesTobi DelbrückShih‐Chii LiuÁngel Jiménez-FernándezJuan P. Dominguez‐MoralesDaniel Gutiérrez-GalánManuel Domínguez-Morales
- Topics
- Advanced Memory and Neural Computing (23 papers)CCD and CMOS Imaging Sensors (18 papers)Neuroscience and Neural Engineering (15 papers)
- Partner nations
- SpainSwitzerlandTunisia
In The Last Decade
Antonio Ríos-Navarro
35 papers receiving 503 citations
Peers
Comparison fields: 5 of 80
- Electrical and Electronic Engineering 271
- Computer Vision and Pattern Recognition 171
- Artificial Intelligence 122
- Computer Networks and Communications 64
- Cognitive Neuroscience 50
Countries citing papers authored by Antonio Ríos-Navarro
This map shows the geographic impact of Antonio Ríos-Navarro'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 Antonio Ríos-Navarro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Ríos-Navarro more than expected).
Fields of papers citing papers by Antonio Ríos-Navarro
This network shows the impact of papers produced by Antonio Ríos-Navarro. 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 Antonio Ríos-Navarro. The network helps show where Antonio Ríos-Navarro may publish in the future.
Co-authorship network of co-authors of Antonio Ríos-Navarro
This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Ríos-Navarro. A scholar is included among the top collaborators of Antonio Ríos-Navarro 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 Antonio Ríos-Navarro. Antonio Ríos-Navarro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 26 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 25 | |
| 9 | 17 | |
| 10 | 14 | |
| 11 | 17 | |
| 12 | 2 | |
| 13 | 35 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 205 | |
| 18 | 3 | |
| 19 | 43 | |
| 20 | 3 |
About Antonio Ríos-Navarro
Antonio Ríos-Navarro is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 38 papers that have together received 517 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (23 papers), CCD and CMOS Imaging Sensors (18 papers) and Neuroscience and Neural Engineering (15 papers). The work is most often cited by research in Computational Mathematics (5 citations), Computer Vision and Pattern Recognition (171 citations) and Hardware and Architecture (34 citations). Antonio Ríos-Navarro has collaborated with scholars based in Spain, Switzerland and Tunisia. Frequent co-authors include Alejandro Linares-Barranco, Ricardo Tapiador-Morales, Tobi Delbrück, Shih‐Chii Liu, Ángel Jiménez-Fernández, Juan P. Dominguez‐Morales, Daniel Gutiérrez-Galán, Manuel Domínguez-Morales, Hesham Mostafa and Federico Corradi. Their work appears in journals such as Sensors, Information Sciences and IEEE Transactions on Neural Networks and Learning Systems.
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.