G. Jiménez

2.1k total citations
90 papers, 1.3k citations indexed

About

G. Jiménez is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, G. Jiménez has authored 90 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Electrical and Electronic Engineering, 41 papers in Cellular and Molecular Neuroscience and 32 papers in Cognitive Neuroscience. Recurrent topics in G. Jiménez's work include Advanced Memory and Neural Computing (63 papers), Neuroscience and Neural Engineering (39 papers) and CCD and CMOS Imaging Sensors (36 papers). G. Jiménez is often cited by papers focused on Advanced Memory and Neural Computing (63 papers), Neuroscience and Neural Engineering (39 papers) and CCD and CMOS Imaging Sensors (36 papers). G. Jiménez collaborates with scholars based in Spain, Switzerland and Norway. G. Jiménez's co-authors include Alejandro Linares-Barranco, Ángel Jiménez-Fernández, A Balcells, Manuel Domínguez-Morales, F. Gómez-Rodríguez, R. Paz-Vicente, Juan P. Dominguez‐Morales, B. Linares-Barranco, Teresa Serrano‐Gotarredona and R. Serrano-Gotarredona and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Computers & Education.

In The Last Decade

G. Jiménez

85 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Jiménez Spain 20 925 483 440 177 120 90 1.3k
Jason K. Eshraghian United States 20 1.2k 1.3× 474 1.0× 527 1.2× 377 2.1× 64 0.5× 97 1.7k
Minhao Yang Switzerland 18 984 1.1× 226 0.5× 285 0.6× 307 1.7× 251 2.1× 41 1.5k
Saeed Reza Kheradpisheh Iran 12 1.4k 1.5× 345 0.7× 1.0k 2.3× 673 3.8× 129 1.1× 27 1.8k
Raphael Berner Switzerland 14 1.2k 1.3× 449 0.9× 392 0.9× 181 1.0× 270 2.3× 23 1.4k
Shyam Prasad Adhikari South Korea 15 1.1k 1.2× 474 1.0× 387 0.9× 321 1.8× 139 1.2× 38 1.6k
Christian Brändli Switzerland 11 838 0.9× 215 0.4× 238 0.5× 148 0.8× 295 2.5× 14 1.1k
Guillaume Garreau United States 8 506 0.5× 86 0.2× 273 0.6× 235 1.3× 109 0.9× 17 719
Uğur Halıcı Türkiye 15 246 0.3× 289 0.6× 672 1.5× 250 1.4× 354 3.0× 69 1.4k
Federico Corradi Netherlands 20 1.4k 1.5× 550 1.1× 678 1.5× 471 2.7× 233 1.9× 56 1.8k
Amirhossein Tavanaei United States 9 744 0.8× 173 0.4× 516 1.2× 425 2.4× 61 0.5× 16 1.1k

Countries citing papers authored by G. Jiménez

Since Specialization
Citations

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

Fields of papers citing papers by G. Jiménez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Jiménez. 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 G. Jiménez. The network helps show where G. Jiménez may publish in the future.

Co-authorship network of co-authors of G. Jiménez

This figure shows the co-authorship network connecting the top 25 collaborators of G. Jiménez. A scholar is included among the top collaborators of G. Jiménez 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 G. Jiménez. G. Jiménez 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.
Indiveri, Giacomo, et al.. (2025). A bio-inspired hardware implementation of an analog spike-based hippocampus memory model. Neurocomputing. 660. 131892–131892.
2.
Dominguez‐Morales, Juan P., et al.. (2024). A Bio-Inspired Implementation of a Sparse-Learning Spike-Based Hippocampus Memory Model. IEEE Transactions on Emerging Topics in Computing. 13(1). 119–133. 4 indexed citations
3.
Dominguez‐Morales, Juan P., et al.. (2024). Bio-inspired computational memory model of the Hippocampus: An approach to a neuromorphic spike-based Content-Addressable Memory. Neural Networks. 178. 106474–106474. 1 indexed citations
4.
Dominguez‐Morales, Juan P., et al.. (2024). Analog Implementation of a Spiking System for Performing Arithmetic Logic Operations on Mixed‐Signal Neuromorphic Processors. SHILAP Revista de lepidopterología. 7(4).
5.
Indiveri, Giacomo, et al.. (2024). Analog Sequential Hippocampal Memory Model for Trajectory Learning and Recalling: A Robustness Analysis Overview. SHILAP Revista de lepidopterología. 7(1). 1 indexed citations
6.
Dominguez‐Morales, Juan P., et al.. (2023). Construction of a Spike-Based Memory Using Neural-Like Logic Gates Based on Spiking Neural Networks on SpiNNaker. IEEE Transactions on Emerging Topics in Computing. 11(4). 868–881. 2 indexed citations
7.
8.
Jiménez, G., Fernando Díaz-del-Río, José Luis Sevillano, et al.. (2023). Designing EV charging stations deployment through holistic simulations: the SANEVEC project. IET conference proceedings.. 2023(24). 133–139. 1 indexed citations
9.
Dominguez‐Morales, Juan P., et al.. (2023). A systematic comparison of different machine learning models for the spatial estimation of air pollution. Applied Intelligence. 53(24). 29604–29619. 8 indexed citations
10.
Tapiador-Morales, Ricardo, et al.. (2020). Event-Based Gesture Recognition through a Hierarchy of Time-Surfaces for FPGA. Sensors. 20(12). 3404–3404. 19 indexed citations
11.
Domínguez-Morales, Manuel, Juan P. Dominguez‐Morales, Ángel Jiménez-Fernández, Alejandro Linares-Barranco, & G. Jiménez. (2019). Stereo Matching in Address-Event-Representation (AER) Bio-Inspired Binocular Systems in a Field-Programmable Gate Array (FPGA). Electronics. 8(4). 410–410. 12 indexed citations
12.
Dominguez‐Morales, Juan P., Ángel Jiménez-Fernández, Manuel Domínguez-Morales, & G. Jiménez. (2017). Deep Neural Networks for the Recognition and Classification of Heart Murmurs Using Neuromorphic Auditory Sensors. IEEE Transactions on Biomedical Circuits and Systems. 12(1). 24–34. 124 indexed citations
13.
Paz-Vicente, R., et al.. (2011). A perfomance comparison study between synchronous and asynchronous FPGA for spike based systems. Under the AER synthetic generation. idUS (Universidad de Sevilla). 38–45. 2 indexed citations
14.
Sevillano, José Luis, et al.. (2011). Network requirements evaluation of a multi-user virtual environment. idUS (Universidad de Sevilla). 90–97. 1 indexed citations
15.
Domínguez-Morales, Manuel, et al.. (2010). Frames-to-AER efficiency study based on CPUs performance counters. idUS (Universidad de Sevilla). 141–148. 1 indexed citations
16.
Domínguez-Morales, Manuel, et al.. (2009). Performance study of synthetic AER generation on CPUs for Real-Time Video based on Spikes. idUS (Universidad de Sevilla). 41. 57–64. 2 indexed citations
17.
Jiménez, G., et al.. (2007). FPGA-Based Implementation of RAM with Asymmetric Port Widths for Run-Time Reconfiguration. 178–181. 4 indexed citations
18.
Linares-Barranco, Alejandro, G. Jiménez, B. Linares-Barranco, & A Balcells. (2006). On algorithmic rate-coded AER generation. IEEE Transactions on Neural Networks. 17(3). 771–788. 45 indexed citations
19.
Serrano-Gotarredona, R., Matthias Oster, P. Lichtsteiner, et al.. (2005). AER Building Blocks for Multi-Layer Multi-Chip Neuromorphic Vision Systems. idUS (Universidad de Sevilla). 18. 1217–1224. 56 indexed citations
20.
Sevillano, José Luis, et al.. (2005). STATISTICAL QOS GUARANTEES IN BLUETOOTH UNDER CO-CHANNEL INTERFERENCE. 227–234. 1 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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