Daniel Gutiérrez-Galán

518 total citations
27 papers, 324 citations indexed

About

Daniel Gutiérrez-Galán is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniel Gutiérrez-Galán has authored 27 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 13 papers in Cognitive Neuroscience and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniel Gutiérrez-Galán's work include Advanced Memory and Neural Computing (18 papers), Neural dynamics and brain function (13 papers) and CCD and CMOS Imaging Sensors (8 papers). Daniel Gutiérrez-Galán is often cited by papers focused on Advanced Memory and Neural Computing (18 papers), Neural dynamics and brain function (13 papers) and CCD and CMOS Imaging Sensors (8 papers). Daniel Gutiérrez-Galán collaborates with scholars based in Spain, Germany and Netherlands. Daniel Gutiérrez-Galán's co-authors include Juan P. Dominguez‐Morales, Ángel Jiménez-Fernández, Alejandro Linares-Barranco, Antonio Ríos-Navarro, Manuel Domínguez-Morales, Ricardo Tapiador-Morales, Lourdes Durán-López, Fernando Perez‐Peña, Elisabetta Chicca and Steve Furber and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Daniel Gutiérrez-Galán

26 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Gutiérrez-Galán Spain 10 166 90 80 60 51 27 324
Antonio Ríos-Navarro Spain 10 271 1.6× 50 0.6× 122 1.5× 47 0.8× 46 0.9× 38 517
Ricardo Tapiador-Morales Spain 6 198 1.2× 33 0.4× 82 1.0× 35 0.6× 29 0.6× 16 353
Xinyu Hao China 9 109 0.7× 91 1.0× 66 0.8× 16 0.3× 48 0.9× 37 305
Kamalraj Subramaniam India 10 36 0.2× 101 1.1× 42 0.5× 90 1.5× 40 0.8× 60 393
Shouwei Gao China 10 54 0.3× 97 1.1× 27 0.3× 56 0.9× 31 0.6× 55 319
Corey Lammie Australia 12 362 2.2× 142 1.6× 138 1.7× 34 0.6× 113 2.2× 31 511
Kaiwen Cheng China 11 77 0.5× 261 2.9× 122 1.5× 35 0.6× 113 2.2× 23 464
Behzad Mozaffari Tazehkand Iran 12 240 1.4× 107 1.2× 30 0.4× 34 0.6× 28 0.5× 66 451
Lyes Khacef Switzerland 8 177 1.1× 122 1.4× 75 0.9× 49 0.8× 53 1.0× 13 268
Enyi Yao China 9 153 0.9× 75 0.8× 88 1.1× 39 0.7× 65 1.3× 30 252

Countries citing papers authored by Daniel Gutiérrez-Galán

Since Specialization
Citations

This map shows the geographic impact of Daniel Gutiérrez-Galán'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 Daniel Gutiérrez-Galán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gutiérrez-Galán more than expected).

Fields of papers citing papers by Daniel Gutiérrez-Galán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Gutiérrez-Galán. 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 Daniel Gutiérrez-Galán. The network helps show where Daniel Gutiérrez-Galán may publish in the future.

Co-authorship network of co-authors of Daniel Gutiérrez-Galán

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Gutiérrez-Galán. A scholar is included among the top collaborators of Daniel Gutiérrez-Galán 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 Daniel Gutiérrez-Galán. Daniel Gutiérrez-Galán 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.
Gutiérrez-Galán, Daniel, et al.. (2023). Closed-loop sound source localization in neuromorphic systems. SHILAP Revista de lepidopterología. 3(2). 24009–24009. 8 indexed citations
2.
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
3.
Gutiérrez-Galán, Daniel, Chiara Bartolozzi, Juan P. Dominguez‐Morales, Ángel Jiménez-Fernández, & Alejandro Linares-Barranco. (2022). Towards the Neuromorphic Implementation of the Auditory Perception in the iCub Robotic Platform. 11–12. 4 indexed citations
4.
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
5.
Gutiérrez-Galán, Daniel, et al.. (2021). An Event-Based Digital Time Difference Encoder Model Implementation for Neuromorphic Systems. IEEE Transactions on Neural Networks and Learning Systems. 33(5). 1959–1973. 11 indexed citations
6.
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
7.
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
8.
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
9.
Dominguez‐Morales, Juan P., Daniel Gutiérrez-Galán, Antonio Ríos-Navarro, et al.. (2021). pyNAVIS: An open-source cross-platform software for spike-based neuromorphic audio information processing. Neurocomputing. 449. 172–175. 2 indexed citations
10.
Luna-Perejón, Francisco, Manuel Domínguez-Morales, Daniel Gutiérrez-Galán, & A Balcells. (2020). Low-Power Embedded System for Gait Classification Using Neural Networks. Journal of Low Power Electronics and Applications. 10(2). 14–14. 16 indexed citations
11.
Durán-López, Lourdes, et al.. (2019). Implementing a Distance Estimator for a Wildlife Tracking System Based on 802.15.4. Electronics. 8(12). 1438–1438.
12.
Gutiérrez-Galán, Daniel, Juan P. Dominguez‐Morales, Fernando Perez‐Peña, Ángel Jiménez-Fernández, & Alejandro Linares-Barranco. (2019). Neuropod: A real-time neuromorphic spiking CPG applied to robotics. Neurocomputing. 381. 10–19. 42 indexed citations
13.
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
14.
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
15.
Durán-López, Lourdes, Daniel Gutiérrez-Galán, Juan P. Dominguez‐Morales, et al.. (2019). A Low-power, Reachable, Wearable and Intelligent IoT Device for Animal Activity Monitoring. 516–521. 6 indexed citations
16.
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
17.
Dominguez‐Morales, Juan P., Qian Liu, R. A. James, et al.. (2018). Deep Spiking Neural Network model for time-variant signals classification: a real-time speech recognition approach. Research Explorer (The University of Manchester). 1–8. 40 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.
Gutiérrez-Galán, Daniel, Juan P. Dominguez‐Morales, Lourdes Miró-Amarante, et al.. (2017). Semi-wildlife gait patterns classification using statistical methods and Artificial Neural Networks. 802. 4036–4043. 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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