Marco Bucci

34 total papers · 1.1k total citations
19 papers, 564 citations indexed

About

Marco Bucci is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Marco Bucci has authored 19 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 8 papers in Hardware and Architecture. Recurrent topics in Marco Bucci's 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). Marco Bucci is often cited by papers focused on Chaos-based Image/Signal Encryption (13 papers), Cryptographic Implementations and Security (12 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (7 papers). Marco Bucci collaborates with scholars based in Austria, Italy and Germany. Marco Bucci's co-authors include R. Luzzi, Alessandro Trifiletti, L. Germani, Luca Giancane, Giuseppe Scotti, Pasquale Tommasino, Elena Trichina, Mauro Olivieri, Maximilian Hofer and Francesco Menichelli and has published in prestigious 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.

In The Last Decade

Marco Bucci

16 papers receiving 518 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marco Bucci 367 294 206 182 146 19 564
R. Luzzi 371 1.0× 297 1.0× 209 1.0× 184 1.0× 174 1.2× 25 596
C.S. Petrie 298 0.8× 176 0.6× 88 0.4× 172 0.9× 340 2.3× 14 640
James Nechvatal 414 1.1× 365 1.2× 82 0.4× 82 0.5× 82 0.6× 5 650
Ioannis Koutis 123 0.3× 158 0.5× 47 0.2× 274 1.5× 73 0.5× 41 568
Jovan Dj. Golić 266 0.7× 344 1.2× 97 0.5× 92 0.5× 116 0.8× 57 576
Tao B. Schardl 140 0.4× 147 0.5× 257 1.2× 79 0.4× 116 0.8× 27 634
Qibin Zhao 153 0.4× 134 0.5× 72 0.3× 54 0.3× 43 0.3× 9 665
Jason Riedy 247 0.7× 181 0.6× 101 0.5× 112 0.6× 23 0.2× 31 600
Christof Paar 241 0.7× 425 1.4× 89 0.4× 63 0.3× 97 0.7× 10 622
Dong-U Lee 230 0.6× 138 0.5× 119 0.6× 281 1.5× 310 2.1× 26 669

Countries citing papers authored by Marco Bucci

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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