Eleonora Di Nezza
- Applied Mathematics top 0.1%
- Computational Theory and Mathematics top 0.2%
- Mathematical Physics top 0.5%
- Modeling and Simulation top 1%
- Control and Systems Engineering top 5%
- Co-authors
- Giampiero PalatucciEnrico ValdinociChinh H. LuTamás DarvasVincent GuedjStefano TrapaniCharles Favre
- Topics
- Geometric Analysis and Curvature Flows (16 papers)Geometry and complex manifolds (16 papers)Algebraic Geometry and Number Theory (8 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Eleonora Di Nezza
15 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 47
- Applied Mathematics 2.2k
- Computational Theory and Mathematics 1.5k
- Mathematical Physics 988
- Modeling and Simulation 297
- Control and Systems Engineering 260
Countries citing papers authored by Eleonora Di Nezza
This map shows the geographic impact of Eleonora Di Nezza'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 Eleonora Di Nezza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eleonora Di Nezza more than expected).
Fields of papers citing papers by Eleonora Di Nezza
This network shows the impact of papers produced by Eleonora Di Nezza. 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 Eleonora Di Nezza. The network helps show where Eleonora Di Nezza may publish in the future.
Co-authorship network of co-authors of Eleonora Di Nezza
This figure shows the co-authorship network connecting the top 25 collaborators of Eleonora Di Nezza. A scholar is included among the top collaborators of Eleonora Di Nezza 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 Eleonora Di Nezza. Eleonora Di Nezza 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 | 9 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 18 | |
| 9 | 5 | |
| 10 | 22 | |
| 11 | 8 | |
| 12 | 33 | |
| 13 | UNIQUENESS AND SHORT TIME REGULARITY OF THE WEAK KÄHLER-RICCI FLOW | 13 |
| 14 | 7 | |
| 15 | 4 | |
| 16 | 5 | |
| 17 | Hitchhikerʼs guide to the fractional Sobolev spacesbreakdown → | 2439 |
About Eleonora Di Nezza
Eleonora Di Nezza is a scholar working on Geometry and Topology, Applied Mathematics and Mathematical Physics, having authored 17 papers that have together received 2.6k indexed citations. Recurring topics across this work include Geometric Analysis and Curvature Flows (16 papers), Geometry and complex manifolds (16 papers) and Algebraic Geometry and Number Theory (8 papers). The work is most often cited by research in Applied Mathematics (2.2k citations), Mathematical Physics (988 citations) and Computational Theory and Mathematics (1.5k citations). Eleonora Di Nezza has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Giampiero Palatucci, Enrico Valdinoci, Chinh H. Lu, Tamás Darvas, Vincent Guedj, Stefano Trapani and Charles Favre. Their work appears in journals such as Journal of Functional Analysis, Annales de l’institut Fourier and Compositio Mathematica.
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.