Claudio Ferretti

724 citations
55 papers · 535 · h-index 11

Impact in

Papers in

Claudio Ferretti

52 papers receiving 508 citations

Peers

Claudio Ferretti
Comparison fields: 5 of 39
  • Computational Theory and Mathematics 202
  • Molecular Biology 443
  • Mechanical Engineering 214
  • Artificial Intelligence 100
  • Health Informatics 2
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Michael Ho Taiwan
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Citations per year

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-authors

The 25 scholars most cited alongside Claudio Ferretti, 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 Claudio Ferretti Line = papers co-authored together Claudio Ferretti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001118
2 200751
3 201938
4
Solving NP-complete problems using P systems with active membranes
200134
5 200328
6 200428
7
On the Computational Efficiency of Polarizationless Recognizer P Systems with Strong Division and Dissolution
200820
8 200119
9
Universality and Normal Forms on Membrane Systems
200014
10
On the Computational Power of Spiking Neural P Systems
200712
11 200812
12 200110
13 200210
14
Using membrane features in P-systems
20019
15 20039
16 20238
17
DNA splicing systems and post systems.
19968
18 20198
19 19997
20
Modeling and Analysis of Firewalls by (Tissue-like) P Systems
20106

About Claudio Ferretti

Claudio Ferretti is a scholar working on Molecular Biology, Computational Theory and Mathematics, Artificial Intelligence, Mechanical Engineering and Information Systems, having authored 55 papers that have together received 535 indexed citations. Recurring topics across this work include DNA and Biological Computing (37 papers), Advanced biosensing and bioanalysis techniques (18 papers), Modular Robots and Swarm Intelligence (14 papers), Cellular Automata and Applications (9 papers), semigroups and automata theory (8 papers), Algorithms and Data Compression (7 papers), Software Engineering Research (7 papers) and Machine Learning and Algorithms (4 papers). The work is most often cited by research in Computational Theory and Mathematics (202 citations), Molecular Biology (443 citations), Mechanical Engineering (214 citations), Artificial Intelligence (100 citations) and Health Informatics (2 citations). Claudio Ferretti has collaborated with scholars based in Italy, Japan and United States. Frequent co-authors include Giancarlo Mauri, Claudio Zandron, Alberto Leporati, Satoshi Kobayashi, Gheorghe Pǎun, Mario J. Pérez-Jímenez, Yasubumi Sakakibara, Paola Bonizzoni, Takashi Yokomori and Daniela Besozzi. Their work appears in journals such as Theoretical Computer Science, Natural Computing, Lecture notes in computer science, Mathematical Structures in Computer Science and Biosystems.

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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