Virginia De Cicco
- Applied Mathematics top 5%
- Computational Theory and Mathematics top 5%
- Mathematical Physics top 10%
- Computational Mechanics
- Control and Systems Engineering
- Co-authors
- Graziano CrastaNicola FuscoMicòl AmarAnna VerdeGiovanni LeoniMaria Agostina VivaldiDaniela GiachettiSergio Segura de León
- Topics
- Nonlinear Partial Differential Equations (17 papers)Advanced Mathematical Modeling in Engineering (11 papers)Geometric Analysis and Curvature Flows (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaAdvances in MathematicsJournal of Functional Analysis
- Partner nations
- ItalyFranceSwitzerland
In The Last Decade
Virginia De Cicco
30 papers receiving 224 citations
Peers
Comparison fields: 5 of 36
- Applied Mathematics 196
- Computational Theory and Mathematics 129
- Mathematical Physics 103
- Computational Mechanics 28
- Control and Systems Engineering 26
Countries citing papers authored by Virginia De Cicco
This map shows the geographic impact of Virginia De Cicco'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 Virginia De Cicco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virginia De Cicco more than expected).
Fields of papers citing papers by Virginia De Cicco
This network shows the impact of papers produced by Virginia De Cicco. 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 Virginia De Cicco. The network helps show where Virginia De Cicco may publish in the future.
Co-authorship network of co-authors of Virginia De Cicco
This figure shows the co-authorship network connecting the top 25 collaborators of Virginia De Cicco. A scholar is included among the top collaborators of Virginia De Cicco 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 Virginia De Cicco. Virginia De Cicco 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 | 3 | |
| 3 | 19 | |
| 4 | 14 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 16 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 6 | |
| 12 | 12 | |
| 13 | 13 | |
| 14 | 3 | |
| 15 | A chain rule in L 1 (div; Ω) and its applications to lower semicontinuity | 12 |
| 16 | 17 | |
| 17 | 4 | |
| 18 | 23 | |
| 19 | The uniqueness as a generic property for some one-dimensional segmentation problems | 5 |
| 20 | Composition operators of summable functions spaces | 1 |
About Virginia De Cicco
Virginia De Cicco is a scholar working on Applied Mathematics, Mathematical Physics and Computational Theory and Mathematics, having authored 32 papers that have together received 252 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (17 papers), Advanced Mathematical Modeling in Engineering (11 papers) and Geometric Analysis and Curvature Flows (8 papers). The work is most often cited by research in Applied Mathematics (196 citations), Mathematical Physics (103 citations) and Computational Theory and Mathematics (129 citations). Virginia De Cicco has collaborated with scholars based in Italy, France and Switzerland. Frequent co-authors include Graziano Crasta, Nicola Fusco, Micòl Amar, Anna Verde, Giovanni Leoni, Maria Agostina Vivaldi, Daniela Giachetti, Sergio Segura de León, Guido De Philippis and Andrea Dall’Aglio. Their work appears in journals such as SHILAP Revista de lepidopterología, Advances in Mathematics 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.