Stefano Biagi
- Applied Mathematics top 2%
- Computational Theory and Mathematics top 2%
- Mathematical Physics top 5%
- Numerical Analysis top 10%
- Control and Systems Engineering
- Co-authors
- Eugenio VecchiEnrico ValdinociSerena DipierroDimitri MugnaiFrancesco EspositoAndrea BonfiglioliElvira MascoloGiovanni Cupini
- Topics
- Nonlinear Partial Differential Equations (24 papers)Advanced Mathematical Modeling in Engineering (21 papers)Nonlinear Differential Equations Analysis (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Mathematical Analysis and ApplicationsTransactions of the American Mathematical Society
In The Last Decade
Stefano Biagi
35 papers receiving 310 citations
Peers
Comparison fields: 5 of 28
- Applied Mathematics 295
- Computational Theory and Mathematics 195
- Mathematical Physics 147
- Numerical Analysis 36
- Control and Systems Engineering 16
Countries citing papers authored by Stefano Biagi
This map shows the geographic impact of Stefano Biagi'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 Stefano Biagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Biagi more than expected).
Fields of papers citing papers by Stefano Biagi
This network shows the impact of papers produced by Stefano Biagi. 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 Stefano Biagi. The network helps show where Stefano Biagi may publish in the future.
Co-authorship network of co-authors of Stefano Biagi
This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Biagi. A scholar is included among the top collaborators of Stefano Biagi 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 Stefano Biagi. Stefano Biagi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 25 | |
| 10 | 39 | |
| 11 | 1 | |
| 12 | 19 | |
| 13 | 86 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 7 | |
| 20 | 9 |
About Stefano Biagi
Stefano Biagi is a scholar working on Applied Mathematics, Mathematical Physics and Computational Theory and Mathematics, having authored 43 papers that have together received 330 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (24 papers), Advanced Mathematical Modeling in Engineering (21 papers) and Nonlinear Differential Equations Analysis (14 papers). The work is most often cited by research in Applied Mathematics (295 citations), Mathematical Physics (147 citations) and Computational Theory and Mathematics (195 citations). Stefano Biagi has collaborated with scholars based in Italy, Australia and Germany. Frequent co-authors include Eugenio Vecchi, Enrico Valdinoci, Serena Dipierro, Dimitri Mugnai, Francesco Esposito, Andrea Bonfiglioli, Elvira Mascolo, Giovanni Cupini, Francesca Papalini and Fabio Punzo. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Transactions of the American Mathematical Society.
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.