Ramón Canal

1.9k citations
87 papers · 1.2k indexed · h-index 21
Topics
Low-power high-performance VLSI design (34 papers)Semiconductor materials and devices (31 papers)Parallel Computing and Optimization Techniques (28 papers)
Partner nations
SpainItalyGreece

In The Last Decade

Ramón Canal

82 papers receiving 1.2k citations

Peers

Ramón Canal
Comparison fields: 5 of 56
  • Hardware and Architecture 798
  • Computer Networks and Communications 719
  • Electrical and Electronic Engineering 620
  • Artificial Intelligence 165
  • Information Systems 87
Replace Sotirios G. Ziavras with:
Sotirios G. Ziavras United States
T. Simunic United States
Stefan M. Petters Portugal
Hyungmin Cho South Korea
Heonshik Shin South Korea
Pierre Paulin Canada
Özcan Öztürk United States
Mayan Moudgill United States
Hamid R. Zarandi Iran
P. Banerjee United States
Ramón Canal relative to Sotirios G. Ziavras United States Sotirios G. Ziavras's profile →
Citations per field
00.5×10×15×21.8×
Sotirios G. Ziavras · 1×
Citations per year

Countries citing papers authored by Ramón Canal

Since Specialization
Citations

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

Fields of papers citing papers by Ramón Canal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramón Canal

This figure shows the co-authorship network connecting the top 25 collaborators of Ramón Canal. A scholar is included among the top collaborators of Ramón Canal 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 Ramón Canal. Ramón Canal 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
#WorkIndexed citations
1 1
2 5
3 34
4 0
5 48
6 2
7 3
8 48
9 3
10 3
11 11
12 22
13 19
14 4
15 13
16
Enhancing 6T SRAM cell stability by back gate biasing techniques for10nm SOI FinFETs under process and environmental variations
7
17 10
18
R 6T SRAM 3T1D DRAM L1 D C C P V
24
19 11
20 43

About Ramón Canal

Ramón Canal is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 87 papers that have together received 1.2k indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (34 papers), Semiconductor materials and devices (31 papers) and Parallel Computing and Optimization Techniques (28 papers). The work is most often cited by research in Hardware and Architecture (798 citations), Computer Networks and Communications (719 citations) and Electrical and Electronic Engineering (620 citations). Ramón Canal has collaborated with scholars based in Spain, Italy and Greece. Frequent co-authors include Antonio González, Joan-Manuel Parcerisa, Eva Rodríguez, Matteo Monchiero, Beatriz Otero, James E. Smith, Enric Herrero, Antonio Rubio, Dimitris Gizopoulos and Xiaoyao Liang. Their work appears in journals such as IEEE Communications Surveys & Tutorials, Expert Systems with Applications and Sensors.

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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