Antonio Ríos-Navarro

873 total citations
38 papers, 517 citations indexed

About

Antonio Ríos-Navarro is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Antonio Ríos-Navarro has authored 38 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 15 papers in Cellular and Molecular Neuroscience and 7 papers in Cognitive Neuroscience. Recurrent topics in Antonio Ríos-Navarro's work include Advanced Memory and Neural Computing (23 papers), CCD and CMOS Imaging Sensors (18 papers) and Neuroscience and Neural Engineering (15 papers). Antonio Ríos-Navarro is often cited by papers focused on Advanced Memory and Neural Computing (23 papers), CCD and CMOS Imaging Sensors (18 papers) and Neuroscience and Neural Engineering (15 papers). Antonio Ríos-Navarro collaborates with scholars based in Spain, Switzerland and Tunisia. Antonio Ríos-Navarro's 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 and has published in prestigious journals such as Sensors, Information Sciences and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Antonio Ríos-Navarro

35 papers receiving 503 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Antonio Ríos-Navarro Spain 10 271 171 122 64 50 38 517
Ricardo Tapiador-Morales Spain 6 198 0.7× 140 0.8× 82 0.7× 39 0.6× 33 0.7× 16 353
Juan P. Dominguez‐Morales Spain 13 223 0.8× 85 0.5× 218 1.8× 36 0.6× 123 2.5× 60 684
Daniel Gutiérrez-Galán Spain 10 166 0.6× 42 0.2× 80 0.7× 33 0.5× 90 1.8× 27 324
Ángel Jiménez-Fernández Spain 18 595 2.2× 83 0.5× 166 1.4× 56 0.9× 301 6.0× 76 944
Michel Paindavoine France 13 199 0.7× 295 1.7× 86 0.7× 37 0.6× 29 0.6× 102 677
Benoît Miramond France 11 248 0.9× 94 0.5× 127 1.0× 84 1.3× 100 2.0× 39 436
Kofi Appiah United Kingdom 14 136 0.5× 320 1.9× 149 1.2× 53 0.8× 49 1.0× 52 572
Sungbum Pan South Korea 13 101 0.4× 92 0.5× 58 0.5× 131 2.0× 119 2.4× 45 517
Ahmed Nabil Belbachir Austria 16 477 1.8× 308 1.8× 81 0.7× 55 0.9× 131 2.6× 72 788
Sakyasingha Dasgupta Germany 11 138 0.5× 123 0.7× 154 1.3× 32 0.5× 85 1.7× 21 408

Countries citing papers authored by Antonio Ríos-Navarro

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Díaz-del-Río, Fernando, et al.. (2024). Competitive cost-effective memory access predictor through short-term online SVM and dynamic vocabularies. Future Generation Computer Systems. 164. 107592–107592.
2.
Ríos-Navarro, Antonio, et al.. (2023). Within-Camera Multilayer Perceptron DVS Denoising. Zurich Open Repository and Archive (University of Zurich). 3933–3942. 4 indexed citations
3.
Ríos-Navarro, Antonio, et al.. (2023). LIPSFUS: A neuromorphic dataset for audio-visual sensory fusion of lip reading. Ulster University Research Portal (Ulster University). 1–5. 1 indexed citations
4.
Ríos-Navarro, Antonio, et al.. (2022). An MPSoC-based on-line Edge Infrastructure for Embedded Neuromorphic Robotic Controllers. 2022 IEEE International Symposium on Circuits and Systems (ISCAS). 2343–2347. 1 indexed citations
5.
Gutiérrez-Galán, Daniel, Antonio Ríos-Navarro, Juan P. Dominguez‐Morales, et al.. (2022). Interfacing PDM MEMS Microphones with PFM Spiking Systems: Application for Neuromorphic Auditory Sensors. Neural Processing Letters. 55(2). 1281–1292. 1 indexed citations
6.
Durán-López, Lourdes, Juan P. Dominguez‐Morales, Antonio Ríos-Navarro, et al.. (2021). Performance Evaluation of Deep Learning-Based Prostate Cancer Screening Methods in Histopathological Images: Measuring the Impact of the Model’s Complexity on Its Processing Speed. Sensors. 21(4). 1122–1122. 17 indexed citations
7.
Ríos-Navarro, Antonio, et al.. (2021). A Deep-Learning Based Posture Detection System for Preventing Telework-Related Musculoskeletal Disorders. Sensors. 21(15). 5236–5236. 25 indexed citations
8.
Dominguez‐Morales, Juan P., Lourdes Durán-López, Daniel Gutiérrez-Galán, et al.. (2021). Wildlife Monitoring on the Edge: A Performance Evaluation of Embedded Neural Networks on Microcontrollers for Animal Behavior Classification. Sensors. 21(9). 2975–2975. 17 indexed citations
9.
Durán-López, Lourdes, Juan P. Dominguez‐Morales, Daniel Gutiérrez-Galán, et al.. (2021). Wide & Deep neural network model for patch aggregation in CNN-based prostate cancer detection systems. Computers in Biology and Medicine. 136. 104743–104743. 14 indexed citations
10.
Ríos-Navarro, Antonio, Daniel Gutiérrez-Galán, Juan P. Dominguez‐Morales, et al.. (2021). Efficient Memory Organization for DNN Hardware Accelerator Implementation on PSoC. Electronics. 10(1). 94–94. 2 indexed citations
11.
Gao, Chang, et al.. (2020). EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 10(4). 419–432. 35 indexed citations
12.
Domínguez-Morales, Manuel, et al.. (2019). Neuronal Specialization for Fine-Grained Distance Estimation Using a Real-Time Bio-Inspired Stereo Vision System. Electronics. 8(12). 1502–1502.
13.
Gutiérrez-Galán, Daniel, Juan P. Dominguez‐Morales, Ángel Jiménez-Fernández, et al.. (2019). A neuromorphic approach of the sound source localization task in real-time embedded systems. idUS (Universidad de Sevilla). 1–2. 1 indexed citations
14.
Ríos-Navarro, Antonio, Ricardo Tapiador-Morales, G. Jiménez, & Alejandro Linares-Barranco. (2019). Efficient DMA transfers management on embedded Linux PSoC for Deep-Learning gestures recognition. 1–2. 1 indexed citations
15.
Tapiador-Morales, Ricardo, Juan P. Dominguez‐Morales, Daniel Gutiérrez-Galán, et al.. (2019). Live Demonstration: Neuromorphic Row-by-Row Multi-Convolution FPGA Processor-SpiNNaker Architecture for Dynamic-Vision Feature Extraction. 1–1. 1 indexed citations
16.
Mostafa, Hesham, Antonio Ríos-Navarro, Ricardo Tapiador-Morales, et al.. (2018). NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps. IEEE Transactions on Neural Networks and Learning Systems. 30(3). 644–656. 205 indexed citations
17.
Tapiador-Morales, Ricardo, Antonio Ríos-Navarro, Juan P. Dominguez‐Morales, et al.. (2018). Event-based Row-by-Row Multi-convolution engine for Dynamic-Vision Feature Extraction on FPGA. 9. 1–7. 3 indexed citations
18.
Gutiérrez-Galán, Daniel, Juan P. Dominguez‐Morales, Antonio Ríos-Navarro, et al.. (2017). Embedded neural network for real-time animal behavior classification. Neurocomputing. 272. 17–26. 44 indexed citations
19.
Gómez-Rodríguez, F., Ángel Jiménez-Fernández, Fernando Perez‐Peña, et al.. (2016). ED-Scorbot: A robotic test-bed framework for FPGA-based neuromorphic systems. 237–242. 3 indexed citations
20.
Dominguez‐Morales, Juan P., Antonio Ríos-Navarro, Manuel Domínguez-Morales, et al.. (2016). Wireless Sensor Network for Wildlife Tracking and Behavior Classification of Animals in Doñana. IEEE Communications Letters. 20(12). 2534–2537. 43 indexed citations

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.

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