Luca Giancane

459 citations
14 papers · 225 · h-index 8

Impact in

Papers in

Luca Giancane

13 papers receiving 207 citations

Peers

Luca Giancane
Comparison fields: 5 of 17
  • Hardware and Architecture 184
  • Artificial Intelligence 194
  • Computer Vision and Pattern Recognition 98
  • Signal Processing 18
  • Computational Theory and Mathematics 22
Replace Philippe Hoogvorst with:
Philippe Hoogvorst France
Gaëtan Cassiers Belgium
Chih-Pin Su Taiwan
Khoongming Khoo Singapore
Christophe De Cannière Belgium
Wai-Yeung Yip United States
Begül Bilgin Belgium
Siang Meng Sim Singapore
Louis Goubin France
George Provelengios United States
Luca Giancane relative to Philippe Hoogvorst France Philippe Hoogvorst's profile →
Citations per field
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Philippe Hoogvorst · 1×
Citations per year

Countries citing papers authored by Luca Giancane

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 9 scholars most cited alongside Luca Giancane, 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 Luca Giancane Line = papers co-authored together Luca Giancane links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 200993
2 201041
3 201115
4 200912
5 200812
6 200912
7 20089
8 20118
9 20097
10 20066
11 20095
12 20063
13 20072
14 20090

About Luca Giancane

Luca Giancane is a scholar working on Artificial Intelligence, Hardware and Architecture, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computational Theory and Mathematics, 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), Chaos-based Image/Signal Encryption (8 papers), Low-power high-performance VLSI design (2 papers), Cellular Automata and Applications (2 papers), Security and Verification in Computing (2 papers), Interconnection Networks and Systems (1 paper) and RFID technology advancements (1 paper). The work is most often cited by research in Hardware and Architecture (184 citations), Artificial Intelligence (194 citations), Computer Vision and Pattern Recognition (98 citations), Signal Processing (18 citations) and Computational Theory and Mathematics (22 citations). Luca Giancane has collaborated with scholars based in Italy, Austria and Germany. Frequent co-authors include Alessandro Trifiletti, Giuseppe Scotti, Massimo Alioto, R. Luzzi, Marco Bucci, Riccardo Rovatti, Fabio Pareschi, Gianluca Setti and Mauro Olivieri. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Circuits and Systems I Regular Papers, IET Circuits Devices & Systems and Institutional Research Information System University of Ferrara (University of Ferrara).

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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