Manuel Jiménez

588 total citations
33 papers, 431 citations indexed

About

Manuel Jiménez is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Manuel Jiménez has authored 33 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 12 papers in Artificial Intelligence and 9 papers in Biomedical Engineering. Recurrent topics in Manuel Jiménez's work include Advanced Memory and Neural Computing (16 papers), Neural Networks and Reservoir Computing (11 papers) and Advancements in Semiconductor Devices and Circuit Design (9 papers). Manuel Jiménez is often cited by papers focused on Advanced Memory and Neural Computing (16 papers), Neural Networks and Reservoir Computing (11 papers) and Advancements in Semiconductor Devices and Circuit Design (9 papers). Manuel Jiménez collaborates with scholars based in Spain, United States and France. Manuel Jiménez's co-authors include R.G. Carvajal, J. Ramírez‐Angulo, A. Torralba, Antonio J. López‐Martín, Juan Núñez, B. Linares-Barranco, M.J. Avedillo, Aida Todri‐Sanial, Lucía Acosta and F. Muñoz and has published in prestigious journals such as Nature Communications, Journal of Food Engineering and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Manuel Jiménez

32 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel Jiménez Spain 11 350 215 95 52 37 33 431
Aminul Islam India 23 1.7k 5.0× 272 1.3× 26 0.3× 13 0.3× 13 0.4× 180 1.9k
Changhyeon Lee South Korea 15 463 1.3× 199 0.9× 48 0.5× 14 0.3× 12 0.3× 58 625
Juan Núñez Spain 9 249 0.7× 25 0.1× 105 1.1× 50 1.0× 3 0.1× 58 296
Junjie Lu China 13 619 1.8× 218 1.0× 55 0.6× 20 0.4× 41 687
Vítor Grade Tavares Portugal 12 341 1.0× 95 0.4× 65 0.7× 42 0.8× 52 437
T. Watanabe Japan 15 659 1.9× 257 1.2× 14 0.1× 6 0.1× 6 0.2× 69 804
Αναστάσιος Πετρόπουλος Greece 12 188 0.5× 195 0.9× 10 0.1× 12 0.2× 7 0.2× 32 364
Arne Heittmann Germany 9 237 0.7× 26 0.1× 62 0.7× 29 0.6× 2 0.1× 35 273
Fauzan Khairi Che Harun Malaysia 14 152 0.4× 234 1.1× 9 0.1× 62 1.2× 5 0.1× 65 462

Countries citing papers authored by Manuel Jiménez

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Jiménez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Jiménez

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Jiménez. A scholar is included among the top collaborators of Manuel 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 Manuel Jiménez. Manuel 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.
Zhang, Tingting, Andrea Grimaldi, Manuel Jiménez, et al.. (2024). A Review of Ising Machines Implemented in Conventional and Emerging Technologies. IEEE Transactions on Nanotechnology. 23. 704–717. 9 indexed citations
2.
Jiménez, Manuel, Juan Núñez, M.J. Avedillo, et al.. (2024). A CMOS-compatible oscillation-based VO2 Ising machine solver. Nature Communications. 15(1). 3334–3334. 28 indexed citations
3.
Shooshtari, Mostafa, et al.. (2024). Applying Hodgkin-Huxley Neuron Model for Perovskite Memristor in Circuit Simulation. 1077–1082. 8 indexed citations
5.
Jiménez, Manuel, et al.. (2023). Experimental demonstration of coupled differential oscillator networks for versatile applications. Frontiers in Neuroscience. 17. 1294954–1294954. 1 indexed citations
6.
Jiménez, Manuel, M.J. Avedillo, B. Linares-Barranco, & Juan Núñez. (2023). Learning algorithms for oscillatory neural networks as associative memory for pattern recognition. Frontiers in Neuroscience. 17. 1257611–1257611. 2 indexed citations
7.
Avedillo, M.J., et al.. (2023). Operating Coupled VO₂-Based Oscillators for Solving Ising Models. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 13(4). 901–913. 4 indexed citations
8.
Jiménez, Manuel, M.J. Avedillo, Juan Núñez, & B. Linares-Barranco. (2022). Enhancing Storage Capabilities of Oscillatory Neural Networks as Associative Memory. 1–5. 1 indexed citations
9.
Gil, Thierry, et al.. (2021). Digital Implementation of Oscillatory Neural Network for Image Recognition Applications. Frontiers in Neuroscience. 15. 713054–713054. 23 indexed citations
10.
Núñez, Juan, M.J. Avedillo, Manuel Jiménez, et al.. (2021). Oscillatory Neural Networks Using VO2 Based Phase Encoded Logic. Frontiers in Neuroscience. 15. 655823–655823. 27 indexed citations
11.
Todri‐Sanial, Aida, Thierry Gil, Siegfried Karg, et al.. (2021). How Frequency Injection Locking Can Train Oscillatory Neural Networks to Compute in Phase. IEEE Transactions on Neural Networks and Learning Systems. 33(5). 1996–2009. 36 indexed citations
12.
Santos, Jenifer, Manuel Jiménez, Nuria Calero, M. Carmen Alfaro, & José Muñoz. (2018). Influence of a shear post-treatment on rheological properties, microstructure and physical stability of emulgels formed by rosemary essential oil and a fumed silica. Journal of Food Engineering. 241. 136–148. 19 indexed citations
13.
Bernal, Carlos & Manuel Jiménez. (2016). A Virtual Instrument Environment to Characterize Reverse Recovery Parameters in LDMOS Devices. 1 indexed citations
14.
Castro, Guillermo R., et al.. (2015). AVRs and PSSs revisited. Epubl LTU. 1006–1010. 1 indexed citations
15.
Jiménez, Manuel, et al.. (2007). Behavioral Modeling Methods for Switched-Capacitor <formula formulatype="inline"> <tex>$\Sigma \Delta$</tex></formula> Modulators. IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications. 54(6). 1236–1244. 24 indexed citations
16.
Acosta, Lucía, R.G. Carvajal, Manuel Jiménez, J. Ramírez‐Angulo, & Antonio J. López‐Martín. (2006). A CMOS Transconductor with 90 dB SFDR and Low Sensitivity to Mismatch. 69–72. 5 indexed citations
17.
Torralba, A., R.G. Carvajal, Manuel Jiménez, F. Muñoz, & J. Ramírez‐Angulo. (2006). Compact low-voltage class-AB analogue buffer. Electronics Letters. 42(3). 152–154. 9 indexed citations
18.
López‐Martín, Antonio J., et al.. (2006). Simple class-AB voltage follower with slew rate and bandwidth enhancement and no extra static power or supply requirements. Electronics Letters. 42(14). 784–785. 45 indexed citations
19.
Jiménez, Manuel, A. Torralba, R.G. Carvajal, & J. Ramírez‐Angulo. (2006). A new low-voltage CMOS unity-gain buffer. 35. 4–4. 20 indexed citations
20.
Rivas-Pérez, R., et al.. (2005). Design of an adjustable,low voltage, low dropout regulator. 1. 289–292. 9 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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