Enrico Formenti
- Computational Theory and Mathematics top 1%
- Molecular Biology
- Mathematical Physics top 5%
- Artificial Intelligence
- Condensed Matter Physics top 10%
- Co-authors
- Alberto DennunzioLuciano MargaraLuca ManzoniBruno DurandAntonio E. PorrecaPetr KůrkaGianpiero CattaneoGiancarlo Mauri
- Topics
- Cellular Automata and Applications (55 papers)Computability, Logic, AI Algorithms (26 papers)Mathematical Dynamics and Fractals (24 papers)
In The Last Decade
Enrico Formenti
62 papers receiving 566 citations
Peers
Comparison fields: 5 of 51
- Computational Theory and Mathematics 514
- Molecular Biology 254
- Mathematical Physics 208
- Artificial Intelligence 76
- Condensed Matter Physics 66
Countries citing papers authored by Enrico Formenti
This map shows the geographic impact of Enrico Formenti'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 Enrico Formenti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enrico Formenti more than expected).
Fields of papers citing papers by Enrico Formenti
This network shows the impact of papers produced by Enrico Formenti. 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 Enrico Formenti. The network helps show where Enrico Formenti may publish in the future.
Co-authorship network of co-authors of Enrico Formenti
This figure shows the co-authorship network connecting the top 25 collaborators of Enrico Formenti. A scholar is included among the top collaborators of Enrico Formenti 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 Enrico Formenti. Enrico Formenti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 8 | |
| 7 | On the complexity of occurrence and convergence problems in reaction systems | 1 |
| 8 | 1 | |
| 9 | 23 | |
| 10 | 28 | |
| 11 | 2D cellular automata: expansivity and decidability issues | 3 |
| 12 | 22 | |
| 13 | 5 | |
| 14 | On the Dynamics of PB Systems: a Petri Net View | 2 |
| 15 | 45 | |
| 16 | 27 | |
| 17 | 14 | |
| 18 | 20 | |
| 19 | 18 | |
| 20 | Cellular Automata in the Cantor, Besicovitch, and Weyl Topological Spaces | 23 |
About Enrico Formenti
Enrico Formenti is a scholar working on Computational Theory and Mathematics, Mathematical Physics and Condensed Matter Physics, having authored 71 papers that have together received 596 indexed citations. Recurring topics across this work include Cellular Automata and Applications (55 papers), Computability, Logic, AI Algorithms (26 papers) and Mathematical Dynamics and Fractals (24 papers). The work is most often cited by research in Computational Theory and Mathematics (514 citations), Mathematical Physics (208 citations) and Condensed Matter Physics (66 citations). Enrico Formenti has collaborated with scholars based in France, Italy and Poland. Frequent co-authors include Alberto Dennunzio, Luciano Margara, Luca Manzoni, Bruno Durand, Antonio E. Porreca, Petr Kůrka, Gianpiero Cattaneo, Giancarlo Mauri, F. Blanchard and Benoît Masson. Their work appears in journals such as IEEE Access, Information Sciences and Applied Soft Computing.
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.