Juan Núñez
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Cognitive Neuroscience
- Hardware and Architecture top 10%
- Computer Networks and Communications
- Co-authors
- M.J. AvedilloManuel JiménezJosé M. QuintanaB. Linares-BarrancoAida Todri‐SanialSiegfried KargThierry GilJ.M. Quintana
- Topics
- Advancements in Semiconductor Devices and Circuit Design (30 papers)Semiconductor materials and devices (29 papers)Low-power high-performance VLSI design (20 papers)
- Partner nations
- SpainFranceSwitzerland
In The Last Decade
Juan Núñez
55 papers receiving 288 citations
Peers
Comparison fields: 5 of 30
- Electrical and Electronic Engineering 249
- Artificial Intelligence 105
- Cognitive Neuroscience 50
- Hardware and Architecture 31
- Computer Networks and Communications 27
Countries citing papers authored by Juan Núñez
This map shows the geographic impact of Juan Núñez'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 Juan Núñez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Núñez more than expected).
Fields of papers citing papers by Juan Núñez
This network shows the impact of papers produced by Juan Núñez. 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 Juan Núñez. The network helps show where Juan Núñez may publish in the future.
Co-authorship network of co-authors of Juan Núñez
This figure shows the co-authorship network connecting the top 25 collaborators of Juan Núñez. A scholar is included among the top collaborators of Juan Núñez 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 Juan Núñez. Juan Núñez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 28 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 23 | |
| 10 | 27 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 15 | |
| 14 | 5 | |
| 15 | 2 | |
| 16 | Improving delay-noise trade-off of dynamic gates for fine-grained pipelined applications | 0 |
| 17 | 2 | |
| 18 | 5 | |
| 19 | 2 | |
| 20 | 2 |
About Juan Núñez
Juan Núñez is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Artificial Intelligence, having authored 58 papers that have together received 296 indexed citations. Recurring topics across this work include Advancements in Semiconductor Devices and Circuit Design (30 papers), Semiconductor materials and devices (29 papers) and Low-power high-performance VLSI design (20 papers). The work is most often cited by research in Hardware and Architecture (31 citations), Electrical and Electronic Engineering (249 citations) and Artificial Intelligence (105 citations). Juan Núñez has collaborated with scholars based in Spain, France and Switzerland. Frequent co-authors include M.J. Avedillo, Manuel Jiménez, José M. Quintana, B. Linares-Barranco, Aida Todri‐Sanial, Siegfried Karg, Thierry Gil, J.M. Quintana, A. Rueda and Giacomo Indiveri. Their work appears in journals such as Nature Communications, IEEE Access and IEEE Transactions on Electron Devices.
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.