R. Luzzi

23 papers receiving 547 citations

Peers

R. Luzzi
Comparison fields: 5 of 38
  • Hardware and Architecture 209
  • Computer Vision and Pattern Recognition 370
  • Computational Theory and Mathematics 184
  • Artificial Intelligence 295
  • Acoustics and Ultrasonics 8
Replace Marco Bucci with:
Marco Bucci Italy
C.S. Petrie United States
L. Germani Italy
Lawrence E. Bassham United States
James Nechvatal United States
Elaine B. Barker United States
James F. Dray United States
Sundararaman Rajagopalan India
Seyed Mohammad Seyedzadeh United States
Gilles Van Assche Netherlands
R. Luzzi relative to Marco Bucci Italy Marco Bucci's profile →
Citations per field
00.5×1.5×
Marco Bucci · 1×
Citations per year

Countries citing papers authored by R. Luzzi

Since Specialization
Citations

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

Fields of papers citing papers by R. Luzzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside R. Luzzi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with R. Luzzi Line = papers co-authored together R. Luzzi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003300
2 200551
3 200350
4 201041
5 200837
6 200223
7 200121
8 201115
9 200812
10 20078
11 20036
12 20066
13 20074
14 20073
15
A Fully-Digital Chaos-Based Random Bit Generator.
20163
16 20063
17
A Reliable Low-area Low-power PUF-based Key Generator
20163
18 20012
19 20072
20 20051

About R. Luzzi

R. Luzzi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Hardware and Architecture and Computational Theory and Mathematics, having authored 25 papers that have together received 595 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (14 papers), Cryptographic Implementations and Security (13 papers), Radio Frequency Integrated Circuit Design (7 papers), Physical Unclonable Functions (PUFs) and Hardware Security (7 papers), Cellular Automata and Applications (6 papers), Advanced Power Amplifier Design (3 papers), Analog and Mixed-Signal Circuit Design (2 papers) and Advanced Malware Detection Techniques (2 papers). The work is most often cited by research in Hardware and Architecture (209 citations), Computer Vision and Pattern Recognition (370 citations), Computational Theory and Mathematics (184 citations), Artificial Intelligence (295 citations) and Acoustics and Ultrasonics (8 citations). R. Luzzi has collaborated with scholars based in Italy, Austria and Germany. Frequent co-authors include Marco Bucci, Alessandro Trifiletti, L. Germani, Luca Giancane, Giuseppe Scotti, Pasquale Tommasino, Francesco Centurelli, Mauro Olivieri, Elena Trichina and Christoph Böhm. Their work appears in journals such as Microwave and Optical Technology Letters, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IET Information Security, IEEE Transactions on Circuits and Systems I Regular Papers and IEEE Transactions on Computers.

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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