M.J. Avedillo

1.2k total citations
114 papers, 830 citations indexed

About

M.J. Avedillo is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, M.J. Avedillo has authored 114 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Electrical and Electronic Engineering, 29 papers in Artificial Intelligence and 14 papers in Hardware and Architecture. Recurrent topics in M.J. Avedillo's work include Advancements in Semiconductor Devices and Circuit Design (52 papers), Low-power high-performance VLSI design (43 papers) and Semiconductor materials and devices (39 papers). M.J. Avedillo is often cited by papers focused on Advancements in Semiconductor Devices and Circuit Design (52 papers), Low-power high-performance VLSI design (43 papers) and Semiconductor materials and devices (39 papers). M.J. Avedillo collaborates with scholars based in Spain, France and Switzerland. M.J. Avedillo's co-authors include José M. Quintana, J.M. Quintana, Juan Núñez, Valeriu Beiu, A. Rueda, B. Linares-Barranco, Manuel Jiménez, J.L. Huertas, Aida Todri‐Sanial and Siegfried Karg and has published in prestigious journals such as Nature Communications, IEEE Access and IEEE Transactions on Electron Devices.

In The Last Decade

M.J. Avedillo

108 papers receiving 799 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.J. Avedillo Spain 14 717 200 133 102 87 114 830
K. Goser Germany 16 736 1.0× 211 1.1× 83 0.6× 197 1.9× 123 1.4× 110 968
Greg Snider United States 14 989 1.4× 178 0.9× 103 0.8× 90 0.9× 115 1.3× 26 1.2k
Amit Ranjan Trivedi United States 16 671 0.9× 138 0.7× 28 0.2× 64 0.6× 98 1.1× 91 853
Amogh Agrawal United States 15 673 0.9× 136 0.7× 27 0.2× 54 0.5× 37 0.4× 32 774
Erik P. DeBenedictis United States 13 268 0.4× 125 0.6× 101 0.8× 71 0.7× 25 0.3× 62 504
Dayane Reis United States 13 617 0.9× 107 0.5× 74 0.6× 47 0.5× 52 0.6× 38 723
Mrigank Sharad United States 13 641 0.9× 186 0.9× 36 0.3× 249 2.4× 24 0.3× 57 731
Jawar Singh India 23 1.6k 2.2× 95 0.5× 34 0.3× 83 0.8× 313 3.6× 124 1.7k
Cheng-Xin Xue Taiwan 14 1.5k 2.1× 284 1.4× 26 0.2× 58 0.6× 41 0.5× 28 1.6k
Thomas Parnell Switzerland 11 843 1.2× 255 1.3× 82 0.6× 30 0.3× 30 0.3× 33 1.1k

Countries citing papers authored by M.J. Avedillo

Since Specialization
Citations

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

Fields of papers citing papers by M.J. Avedillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.J. Avedillo. 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 M.J. Avedillo. The network helps show where M.J. Avedillo may publish in the future.

Co-authorship network of co-authors of M.J. Avedillo

This figure shows the co-authorship network connecting the top 25 collaborators of M.J. Avedillo. A scholar is included among the top collaborators of M.J. Avedillo 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 M.J. Avedillo. M.J. Avedillo 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.
4.
Jiménez, Manuel, et al.. (2023). Experimental demonstration of coupled differential oscillator networks for versatile applications. Frontiers in Neuroscience. 17. 1294954–1294954. 1 indexed citations
5.
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
6.
Núñez, Juan, Simon Thomann, Hussam Amrouch, & M.J. Avedillo. (2022). Mitigating the Impact of Variability in NCFET-based Coupled-Oscillator Networks Applications. 1–4. 1 indexed citations
7.
Avedillo, M.J., et al.. (2021). Hardware Implementation of Differential Oscillatory Neural Networks Using VO 2-Based Oscillators and Memristor-Bridge Circuits. Frontiers in Neuroscience. 15. 674567–674567. 24 indexed citations
8.
Avedillo, M.J. & Juan Núñez. (2015). Improving speed of tunnel FETs logic circuits. Electronics Letters. 51(21). 1702–1704. 5 indexed citations
9.
Avedillo, M.J. & Juan Núñez. (2015). Assessing application areas for tunnel transistor technologies. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 1–6. 2 indexed citations
10.
Núñez, Juan, et al.. (2013). Improving delay-noise trade-off of dynamic gates for fine-grained pipelined applications. DIGITAL.CSIC (Spanish National Research Council (CSIC)).
11.
Núñez, Juan, M.J. Avedillo, & J.M. Quintana. (2011). RTD–CMOS Pipelined Networks for Reduced Power Consumption. IEEE Transactions on Nanotechnology. 10(6). 1217–1220. 5 indexed citations
12.
Bol, David, J.M. Quintana, M.J. Avedillo, & Jean-Didier Legat. (2006). MOBILE Digital Circuits based on Negative-Differential-Resistance MOS Structures. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1 indexed citations
13.
Avedillo, M.J., et al.. (2006). Increased Logic Functionality of Clocked Series-Connected RTDS. IEEE Transactions on Nanotechnology. 5(5). 606–611. 18 indexed citations
14.
Beiu, Valeriu, José M. Quintana, & M.J. Avedillo. (2003). VLSI implementations of threshold logic- a comprehensive survey. IEEE Transactions on Neural Networks. 14(5). 1217–1243. 172 indexed citations
15.
Avedillo, M.J., J.M. Quintana, & J.L. Huertas. (2003). Synthesis for testability of PLA based finite state machines. 194–199.
16.
Vázquez, D., Gloria Huertas, M.J. Avedillo, et al.. (2003). LP-LV high-performance monolithic DTMF receiver with on-chip test facilities. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5117. 298–298. 1 indexed citations
17.
Vázquez, D., M.J. Avedillo, Gloria Huertas, et al.. (2001). A low-voltage low-power high performance fully integrated DTMF receiver. European Solid-State Circuits Conference. 353–356. 3 indexed citations
18.
Quintana, José M., M.J. Avedillo, Esther Rodriguez–Villegas, & A. Rueda. (2000). Efficient /spl nu/MOS Realization of Threshold Voters for Self-Purging Redundancy. 321–326. 2 indexed citations
19.
Martínez, Manuel, M.J. Avedillo, J.M. Quintana, & Jan Huertas. (1998). A dynamic model for the state assignment problem. Design, Automation, and Test in Europe. 835–839. 5 indexed citations
20.
Avedillo, M.J., J.M. Quintana, & J.L. Huertas. (1990). A new method for the state reduction of incompletely specified finite sequential machines. European Design Automation Conference. 552–556. 4 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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