R. Zafalon

559 total citations
28 papers, 277 citations indexed

About

R. Zafalon is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, R. Zafalon has authored 28 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Hardware and Architecture, 19 papers in Electrical and Electronic Engineering and 9 papers in Computer Networks and Communications. Recurrent topics in R. Zafalon's work include Parallel Computing and Optimization Techniques (16 papers), Embedded Systems Design Techniques (15 papers) and Low-power high-performance VLSI design (13 papers). R. Zafalon is often cited by papers focused on Parallel Computing and Optimization Techniques (16 papers), Embedded Systems Design Techniques (15 papers) and Low-power high-performance VLSI design (13 papers). R. Zafalon collaborates with scholars based in Italy, Switzerland and Czechia. R. Zafalon's co-authors include Vittorio Zaccaria, Cristina Silvano, Luca Benini, M. Sami, Federico Angiolini, Mirko Loghi, Davide Bertozzi, Donatella Sciuto, D. Bruni and Carlo Guardiani and has published in prestigious journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Microelectronic Engineering and Frontiers in Materials.

In The Last Decade

R. Zafalon

27 papers receiving 268 citations

Peers

R. Zafalon
Comparison fields: 5 of 22
  • Hardware and Architecture 221
  • Computer Networks and Communications 152
  • Electrical and Electronic Engineering 123
  • Biomedical Engineering 22
  • Mechanical Engineering 11
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Citations per field, relative to R. Zafalon
R. Zafalon · 1×
Citations per year, relative to R. Zafalon
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Countries citing papers authored by R. Zafalon

Since Specialization
Citations

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

Fields of papers citing papers by R. Zafalon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Zafalon

This figure shows the co-authorship network connecting the top 25 collaborators of R. Zafalon. A scholar is included among the top collaborators of R. Zafalon 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 R. Zafalon. R. Zafalon 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
# Work Indexed citations
1 15
2 1
3 3
4 0
5 2
6 6
7 6
8 18
9 56
10 5
11 8
12 1
13
Ultra low-power multimedia processor for mobile multimedia applications
2
14 11
15 11
16 6
17 30
18 2
19
A Power Modeling and Estimation Framework for VLIW-based Embedded Systems
44
20 12

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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