Andrea Cianchi
- Applied Mathematics top 0.1%
- Computational Theory and Mathematics top 0.2%
- Mathematical Physics top 0.5%
- Geometry and Topology top 2%
- Mechanics of Materials top 10%
- Co-authors
- Vladimir Maz’yaNicola FuscoLuboš PickAngela AlbericoPaolo SalaniGaoyong ZhangErwin LutwakDeane Yang
- Topics
- Nonlinear Partial Differential Equations (96 papers)Advanced Mathematical Modeling in Engineering (58 papers)Advanced Harmonic Analysis Research (51 papers)
In The Last Decade
Andrea Cianchi
112 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 53
- Applied Mathematics 2.3k
- Computational Theory and Mathematics 1.3k
- Mathematical Physics 1.0k
- Geometry and Topology 237
- Mechanics of Materials 143
Countries citing papers authored by Andrea Cianchi
This map shows the geographic impact of Andrea Cianchi'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 Andrea Cianchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Cianchi more than expected).
Fields of papers citing papers by Andrea Cianchi
This network shows the impact of papers produced by Andrea Cianchi. 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 Andrea Cianchi. The network helps show where Andrea Cianchi may publish in the future.
Co-authorship network of co-authors of Andrea Cianchi
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Cianchi. A scholar is included among the top collaborators of Andrea Cianchi 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 Andrea Cianchi. Andrea Cianchi 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 | 1 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 37 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 29 | |
| 10 | 20 | |
| 11 | 4 | |
| 12 | 17 | |
| 13 | 51 | |
| 14 | 112 | |
| 15 | 5 | |
| 16 | 23 | |
| 17 | BORDERLINE SHARP ESTIMATES FOR SOLUTIONS TO NEUMANN PROBLEMS | 5 |
| 18 | 18 | |
| 19 | A sharp rearrangement inequality for the fractional maximal operator | 26 |
| 20 | Continuity properties of functions from Orlicz-Sobolev spaces and embedding theorems | 39 |
About Andrea Cianchi
Andrea Cianchi is a scholar working on Applied Mathematics, Mathematical Physics and Computational Theory and Mathematics, having authored 116 papers that have together received 2.4k indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (96 papers), Advanced Mathematical Modeling in Engineering (58 papers) and Advanced Harmonic Analysis Research (51 papers). The work is most often cited by research in Applied Mathematics (2.3k citations), Mathematical Physics (1.0k citations) and Computational Theory and Mathematics (1.3k citations). Andrea Cianchi has collaborated with scholars based in Italy, Czechia and Sweden. Frequent co-authors include Vladimir Maz’ya, Nicola Fusco, Luboš Pick, Angela Alberico, Paolo Salani, Gaoyong Zhang, Erwin Lutwak, Deane Yang, Aldo Pratelli and Francesco Maggi. Their work appears in journals such as IEEE Transactions on Information Theory, Annals of Mathematics and Journal of Mathematical Analysis and Applications.
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.