Paolo Maistri
- Hardware and Architecture top 2%
- Physical Unclonable Functions (PUFs) and Hardware Security 30
- Artificial Intelligence top 2%
- Cryptographic Implementations and Security 28
- Coding theory and cryptography 9
- Security and Verification in Computing 7
- Cryptography and Data Security 5
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- Chaos-based Image/Signal Encryption 10
- Signal Processing top 10%
- Information Systems top 10%
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- Integrated Circuits and Semiconductor Failure Analysis 11
- Radiation Effects in Electronics 10
- Co-authors
- Luca BreveglieriIsrael KorenGuido BertoniVincenzo PiuriRégis LeveugleR. LeveugleJessy ClédièreFrédéric Valette
- Journals
- IEEE Transactions on Computers (3 papers)Journal of Cryptology (1 paper)Journal of Cryptographic Engineering (1 paper)
- Partner nations
- FranceItalyUnited States
In The Last Decade
Paolo Maistri
38 papers receiving 611 citations
Peers
Comparison fields: 5 of 25
- Hardware and Architecture 368
- Artificial Intelligence 578
- Computer Vision and Pattern Recognition 244
- Signal Processing 101
- Information Systems 61
Countries citing papers authored by Paolo Maistri
This map shows the geographic impact of Paolo Maistri'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 Paolo Maistri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Maistri more than expected).
Fields of papers citing papers by Paolo Maistri
This network shows the impact of papers produced by Paolo Maistri. 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 Paolo Maistri. The network helps show where Paolo Maistri may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paolo Maistri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 0 | |
| 9 | 2019 | 0 | |
| 10 | 2018 | 6 | |
| 11 | 2018 | 3 | |
| 12 | 2018 | 5 | |
| 13 | 2014 | 10 | |
| 14 | 2014 | 7 | |
| 15 | 2011 | 6 | |
| 16 | 2009 | 8 | |
| 17 | 2006 | 7 | |
| 18 | 2004 | 33 | |
| 19 | 2004 | 5 | |
| 20 | 2004 | 11 |
About Paolo Maistri
Paolo Maistri is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 670 indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (30 papers), Cryptographic Implementations and Security (28 papers), Integrated Circuits and Semiconductor Failure Analysis (11 papers), Radiation Effects in Electronics (10 papers), Chaos-based Image/Signal Encryption (10 papers), Coding theory and cryptography (9 papers), Security and Verification in Computing (7 papers) and Cryptography and Data Security (5 papers). The work is most often cited by research in Hardware and Architecture (368 citations), Artificial Intelligence (578 citations) and Computer Vision and Pattern Recognition (244 citations). Paolo Maistri has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Luca Breveglieri, Israel Koren, Guido Bertoni, Vincenzo Piuri, Régis Leveugle, R. Leveugle, Jessy Clédière, Frédéric Valette, Marc Renaudin and David Hély. Their work appears in journals such as IEEE Transactions on Computers, Journal of Cryptology, Journal of Cryptographic Engineering, Microelectronics Reliability and IEEE Transactions on Device and Materials Reliability.
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.