Claudio Ferretti

717 total citations
36 papers, 153 citations indexed

About

Claudio Ferretti is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Claudio Ferretti has authored 36 papers receiving a total of 153 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 11 papers in Artificial Intelligence and 9 papers in Computational Theory and Mathematics. Recurrent topics in Claudio Ferretti's work include DNA and Biological Computing (22 papers), Advanced biosensing and bioanalysis techniques (12 papers) and Modular Robots and Swarm Intelligence (9 papers). Claudio Ferretti is often cited by papers focused on DNA and Biological Computing (22 papers), Advanced biosensing and bioanalysis techniques (12 papers) and Modular Robots and Swarm Intelligence (9 papers). Claudio Ferretti collaborates with scholars based in Italy, Japan and Spain. Claudio Ferretti's co-authors include Giancarlo Mauri, Claudio Zandron, Alberto Leporati, Satoshi Kobayashi, Gheorghe Pǎun, Mario J. Pérez-Jímenez, Paola Bonizzoni, Takashi Yokomori, Yasubumi Sakakibara and Paolo Napoletano and has published in prestigious journals such as Theoretical Computer Science, Lecture notes in computer science and Biosystems.

In The Last Decade

Claudio Ferretti

34 papers receiving 144 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Claudio Ferretti Italy 7 116 57 56 37 16 36 153
Shankara Narayanan Krishna India 7 111 1.0× 64 1.1× 91 1.6× 51 1.4× 6 0.4× 45 179
Markus L. Schmid Germany 6 25 0.2× 7 0.1× 61 1.1× 72 1.9× 7 0.4× 34 98
Alica Kelemenová Czechia 10 141 1.2× 103 1.8× 109 1.9× 87 2.4× 13 0.8× 22 201
Yurii Rogozhin Moldova 9 252 2.2× 119 2.1× 165 2.9× 97 2.6× 3 0.2× 37 306
Shinnosuke Seki Japan 8 102 0.9× 17 0.3× 100 1.8× 82 2.2× 5 0.3× 43 155
György Vaszil Hungary 8 172 1.5× 80 1.4× 115 2.1× 66 1.8× 2 0.1× 53 188
Joffroy Beauquier France 11 15 0.1× 22 0.4× 72 1.3× 64 1.7× 9 0.6× 38 225
Hiroshi Umeo Japan 7 102 0.9× 36 0.6× 132 2.4× 39 1.1× 1 0.1× 50 150
Przemysław Uznański Poland 6 10 0.1× 17 0.3× 29 0.5× 25 0.7× 8 0.5× 21 106
Joanna Jędrzejowicz Poland 6 21 0.2× 4 0.1× 45 0.8× 83 2.2× 5 0.3× 28 113

Countries citing papers authored by Claudio Ferretti

Since Specialization
Citations

This map shows the geographic impact of Claudio Ferretti'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 Claudio Ferretti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudio Ferretti more than expected).

Fields of papers citing papers by Claudio Ferretti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claudio Ferretti. 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 Claudio Ferretti. The network helps show where Claudio Ferretti may publish in the future.

Co-authorship network of co-authors of Claudio Ferretti

This figure shows the co-authorship network connecting the top 25 collaborators of Claudio Ferretti. A scholar is included among the top collaborators of Claudio Ferretti 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 Claudio Ferretti. Claudio Ferretti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ferretti, Claudio, et al.. (2024). Exploring the Prompt Space of Large Language Models through Evolutionary Sampling. Proceedings of the Genetic and Evolutionary Computation Conference. 1345–1353. 1 indexed citations
2.
Ferretti, Claudio, et al.. (2023). Evolutionary Approaches for Adversarial Attacks on Neural Source Code Classifiers. Algorithms. 16(10). 478–478. 2 indexed citations
3.
Ferretti, Claudio, et al.. (2022). A Grammar-based Evolutionary Approach for Assessing Deep Neural Source Code Classifiers. Aisberg (University of Bergamo). 1–8. 2 indexed citations
4.
Ferretti, Claudio, et al.. (2022). Do Neural Transformers Learn Human-Defined Concepts? An Extensive Study in Source Code Processing Domain. Algorithms. 15(12). 449–449. 5 indexed citations
5.
Ferretti, Claudio, et al.. (2020). A Neural Embedding for Source Code: Security Analysis and CWE Lists. Aisberg (University of Bergamo). 523–530. 1 indexed citations
6.
Ferretti, Claudio, Alberto Leporati, Luca Manzoni, & Antonio E. Porreca. (2019). The Many Roads to the Simulation of Reaction Systems. Fundamenta Informaticae. 171(1-4). 175–188. 4 indexed citations
7.
Ferretti, Claudio, et al.. (2019). A blockchain technology for protection and probative value preservation of vehicle driver data. BOA (University of Milano-Bicocca). 167–172. 5 indexed citations
8.
Besozzi, Daniela, Nadia Busi, Paolo Cazzaniga, et al.. (2009). (Tissue) P systems with cell polarity. Mathematical Structures in Computer Science. 19(6). 1141–1160. 1 indexed citations
9.
Ferretti, Claudio, et al.. (2008). Frequency Membrane Systems. BOA (University of Milano-Bicocca). 27(3). 467–479. 2 indexed citations
10.
Zandron, Claudio, Alberto Leporati, Claudio Ferretti, Giancarlo Mauri, & Mario J. Pérez-Jímenez. (2008). On the Computational Efficiency of Polarizationless Recognizer P Systems with Strong Division and Dissolution. Fundamenta Informaticae. 87(1). 79–91. 14 indexed citations
11.
Leporati, Alberto, Claudio Zandron, Claudio Ferretti, & Giancarlo Mauri. (2007). On the Computational Power of Spiking Neural P Systems. International journal of unconventional computing. 5(5). 227–246. 10 indexed citations
12.
Ferretti, Claudio, et al.. (2006). Compilation Techniques for Configurable Architectures. BOA (University of Milano-Bicocca). 61(2). 38–45.
13.
Ferretti, Claudio, Giancarlo Mauri, Gheorghe Pǎun, & Claudio Zandron. (2003). On three variants of rewriting P systems. Theoretical Computer Science. 301(1-3). 201–215. 16 indexed citations
14.
Besozzi, Daniela, Claudio Ferretti, Giancarlo Mauri, & Claudio Zandron. (2003). P systems with deadlock. Biosystems. 70(2). 95–105. 2 indexed citations
15.
Yokomori, Takashi, Satoshi Kobayashi, & Claudio Ferretti. (2002). On the power of circular splicing systems and DNA computability. 219–224. 6 indexed citations
16.
Ferretti, Claudio, Giancarlo Mauri, & Claudio Zandron. (2001). Using membrane features in P-systems. BOA (University of Milano-Bicocca). 4. 241–257. 7 indexed citations
17.
Ferretti, Claudio, Giancarlo Mauri, Satoshi Kobayashi, & Takashi Yokomori. (2000). On the universality of Post and splicing systems. Theoretical Computer Science. 231(2). 157–170. 2 indexed citations
18.
Zandron, Claudio, Giancarlo Mauri, & Claudio Ferretti. (2000). Universality and Normal Forms on Membrane Systems. BOA (University of Milano-Bicocca). 61–74. 10 indexed citations
19.
Sakakibara, Yasubumi & Claudio Ferretti. (1999). Splicing on tree-like structures. Theoretical Computer Science. 210(2). 227–243. 5 indexed citations
20.
Bonizzoni, Paola, Claudio Ferretti, & Giancarlo Mauri. (1998). Splicing systems with marked rules. BOA (University of Milano-Bicocca). 1. 295–306. 1 indexed citations

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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2026