Marta Calanchi
- Applied Mathematics top 2%
- Computational Theory and Mathematics top 2%
- Mathematical Physics top 10%
- Geometry and Topology top 10%
- Mechanics of Materials
- Co-authors
- Bernhard RufElide TerraneoFederica SaniZhitao ZhangSimone SecchiEnrico SerraCarlos TomeiMassimo Tarallo
- Topics
- Advanced Mathematical Modeling in Engineering (12 papers)Nonlinear Partial Differential Equations (11 papers)Differential Equations and Boundary Problems (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Differential EquationsJournal of Functional Analysis
In The Last Decade
Marta Calanchi
18 papers receiving 233 citations
Peers
Comparison fields: 5 of 11
- Applied Mathematics 238
- Computational Theory and Mathematics 202
- Mathematical Physics 102
- Geometry and Topology 23
- Mechanics of Materials 12
Countries citing papers authored by Marta Calanchi
This map shows the geographic impact of Marta Calanchi'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 Marta Calanchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Calanchi more than expected).
Fields of papers citing papers by Marta Calanchi
This network shows the impact of papers produced by Marta Calanchi. 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 Marta Calanchi. The network helps show where Marta Calanchi may publish in the future.
Co-authorship network of co-authors of Marta Calanchi
This figure shows the co-authorship network connecting the top 25 collaborators of Marta Calanchi. A scholar is included among the top collaborators of Marta Calanchi 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 Marta Calanchi. Marta Calanchi 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 | 2 | |
| 3 | 8 | |
| 4 | 3 | |
| 5 | 27 | |
| 6 | 12 | |
| 7 | 40 | |
| 8 | 43 | |
| 9 | 22 | |
| 10 | 10 | |
| 11 | 2 | |
| 12 | 35 | |
| 13 | 16 | |
| 14 | 5 | |
| 15 | Elliptic equations with one-sided critical growth | 19 |
| 16 | 7 | |
| 17 | 1 | |
| 18 | Homoclinic-type solutions for an almost periodic semilinear elliptic equation on $R^n$ | 2 |
| 19 | 2 |
About Marta Calanchi
Marta Calanchi is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics, having authored 19 papers that have together received 256 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (12 papers), Nonlinear Partial Differential Equations (11 papers) and Differential Equations and Boundary Problems (5 papers). The work is most often cited by research in Applied Mathematics (238 citations), Computational Theory and Mathematics (202 citations) and Mathematical Physics (102 citations). Marta Calanchi has collaborated with scholars based in Italy, Brazil and China. Frequent co-authors include Bernhard Ruf, Elide Terraneo, Federica Sani, Zhitao Zhang, Simone Secchi, Enrico Serra, Carlos Tomei, Massimo Tarallo and Luigi Rodino. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Differential Equations and Journal of Functional Analysis.
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.