Luca Giancane
- Artificial Intelligence top 10%
- Hardware and Architecture top 5%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics
- Co-authors
- Alessandro TrifilettiGiuseppe ScottiMassimo AliotoMarco BucciR. LuzziFabio PareschiMauro OlivieriRiccardo Rovatti
- Topics
- Cryptographic Implementations and Security (13 papers)Physical Unclonable Functions (PUFs) and Hardware Security (9 papers)Chaos-based Image/Signal Encryption (8 papers)
In The Last Decade
Luca Giancane
13 papers receiving 207 citations
Peers
Comparison fields: 5 of 17
- Artificial Intelligence 194
- Hardware and Architecture 184
- Computer Vision and Pattern Recognition 98
- Electrical and Electronic Engineering 32
- Computational Theory and Mathematics 22
Countries citing papers authored by Luca Giancane
This map shows the geographic impact of Luca Giancane'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 Luca Giancane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Giancane more than expected).
Fields of papers citing papers by Luca Giancane
This network shows the impact of papers produced by Luca Giancane. 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 Luca Giancane. The network helps show where Luca Giancane may publish in the future.
Co-authorship network of co-authors of Luca Giancane
This figure shows the co-authorship network connecting the top 25 collaborators of Luca Giancane. A scholar is included among the top collaborators of Luca Giancane 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 Luca Giancane. Luca Giancane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 15 | |
| 3 | 41 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 93 | |
| 7 | 0 | |
| 8 | 12 | |
| 9 | 12 | |
| 10 | 9 | |
| 11 | 12 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 3 |
About Luca Giancane
Luca Giancane is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 225 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (13 papers), Physical Unclonable Functions (PUFs) and Hardware Security (9 papers) and Chaos-based Image/Signal Encryption (8 papers). The work is most often cited by research in Hardware and Architecture (184 citations), Artificial Intelligence (194 citations) and Computer Vision and Pattern Recognition (98 citations). Luca Giancane has collaborated with scholars based in Italy, Austria and Germany. Frequent co-authors include Alessandro Trifiletti, Giuseppe Scotti, Massimo Alioto, Marco Bucci, R. Luzzi, Fabio Pareschi, Mauro Olivieri, Riccardo Rovatti and Gianluca Setti. Their work appears in journals such as IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and IEEE Transactions on Dependable and Secure Computing.
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.