Marco Bucci
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Hardware and Architecture top 5%
- Computational Theory and Mathematics top 5%
- Electrical and Electronic Engineering
- Co-authors
- R. LuzziAlessandro TrifilettiL. GermaniLuca GiancaneGiuseppe ScottiPasquale TommasinoElena TrichinaMauro Olivieri
- Topics
- Chaos-based Image/Signal Encryption (13 papers)Cryptographic Implementations and Security (12 papers)Physical Unclonable Functions (PUFs) and Hardware Security (7 papers)
- Cited by
- Hardware and ArchitectureComputer Vision and Pattern RecognitionComputational Theory and Mathematics
In The Last Decade
Marco Bucci
16 papers receiving 517 citations
Peers
Comparison fields: 5 of 37
- Computer Vision and Pattern Recognition 366
- Artificial Intelligence 292
- Hardware and Architecture 206
- Computational Theory and Mathematics 182
- Electrical and Electronic Engineering 146
Countries citing papers authored by Marco Bucci
This map shows the geographic impact of Marco Bucci'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 Marco Bucci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Bucci more than expected).
Fields of papers citing papers by Marco Bucci
This network shows the impact of papers produced by Marco Bucci. 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 Marco Bucci. The network helps show where Marco Bucci may publish in the future.
Co-authorship network of co-authors of Marco Bucci
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Bucci. A scholar is included among the top collaborators of Marco Bucci 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 Marco Bucci. Marco Bucci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A Fully-Digital Chaos-Based Random Bit Generator. | 3 |
| 2 | A Reliable Low-area Low-power PUF-based Key Generator | 3 |
| 3 | 15 | |
| 4 | 41 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 37 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | 51 | |
| 15 | 6 | |
| 16 | 50 | |
| 17 | 300 | |
| 18 | 21 | |
| 19 | 1 |
About Marco Bucci
Marco Bucci is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 19 papers that have together received 563 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (13 papers), Cryptographic Implementations and Security (12 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (7 papers). The work is most often cited by research in Hardware and Architecture (206 citations), Computer Vision and Pattern Recognition (366 citations) and Computational Theory and Mathematics (182 citations). Marco Bucci has collaborated with scholars based in Austria, Italy and Germany. Frequent co-authors include R. Luzzi, Alessandro Trifiletti, L. Germani, Luca Giancane, Giuseppe Scotti, Pasquale Tommasino, Elena Trichina, Mauro Olivieri, Christoph Böhm and Maximilian Hofer. Their work appears in journals such as IEEE Transactions on Computers, IEEE Transactions on Circuits and Systems I Regular Papers and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
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.