Francesca Levi

25 papers receiving 285 citations

Peers

Francesca Levi
Comparison fields: 5 of 31
  • Computational Theory and Mathematics 102
  • Computer Networks and Communications 121
  • Software 20
  • Artificial Intelligence 134
  • Molecular Biology 133
Replace Jetty Kleijn with:
Jetty Kleijn Netherlands
Angelo Troina Italy
Boris Konev United Kingdom
Matthias Jantzen Germany
Christoph M. Wintersteiger United Kingdom
Fabio Gadducci Italy
Renate A. Schmidt United Kingdom
Florín Manea Germany
Jiřı́ Wiedermann Czechia
Christian Choffrut France
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Citations per field
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Citations per year

Countries citing papers authored by Francesca Levi

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Levi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Francesca Levi, 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 Francesca Levi Line = papers co-authored together Francesca Levi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200091
2 200359
3 201530
4 201715
5 201614
6 201510
7 201310
8 20039
9 20109
10 20178
11
Simulating gene regulatory networks using reaction systems
20188
12 20118
13 20236
14 20214
15 20094
16 20063
17 19993
18 20013
19 20112
20 20012

About Francesca Levi

Francesca Levi is a scholar working on Molecular Biology, Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications and Software, having authored 26 papers that have together received 304 indexed citations. Recurring topics across this work include Logic, programming, and type systems (10 papers), Gene Regulatory Network Analysis (10 papers), Formal Methods in Verification (10 papers), DNA and Biological Computing (6 papers), Logic, Reasoning, and Knowledge (4 papers), Distributed systems and fault tolerance (3 papers), Petri Nets in System Modeling (2 papers) and Model-Driven Software Engineering Techniques (2 papers). The work is most often cited by research in Computational Theory and Mathematics (102 citations), Computer Networks and Communications (121 citations), Software (20 citations), Artificial Intelligence (134 citations) and Molecular Biology (133 citations). Francesca Levi has collaborated with scholars based in Italy, France and Slovakia. Frequent co-authors include Davide Sangiorgi, Roberta Gori, Paolo Milazzo, Roberto Barbuti, Chiara Bodei, Sergio Maffeis, Pasquale Bove, Moreno Falaschi, Andrea Bernini and Roberto Bruni. Their work appears in journals such as Theoretical Computer Science, Acta Informatica, Information and Computation, Neural Computing and Applications and Journal of Logic and Computation.

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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