Stefania Bellavia
- Numerical Analysis top 1%
- Computational Theory and Mathematics top 1%
- Computational Mechanics top 5%
- Artificial Intelligence top 10%
- Atomic and Molecular Physics, and Optics
- Co-authors
- Benedetta MoriniM. MacconiPhilippe L. TointJacek GondzioDaniela di SerafinoValentina De SimoneSandra PieracciniSerge Gratton
- Topics
- Advanced Optimization Algorithms Research (35 papers)Sparse and Compressive Sensing Techniques (26 papers)Matrix Theory and Algorithms (25 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Computational PhysicsIEEE Access
In The Last Decade
Stefania Bellavia
49 papers receiving 660 citations
Peers
Comparison fields: 5 of 72
- Numerical Analysis 446
- Computational Theory and Mathematics 366
- Computational Mechanics 303
- Artificial Intelligence 104
- Atomic and Molecular Physics, and Optics 89
Countries citing papers authored by Stefania Bellavia
This map shows the geographic impact of Stefania Bellavia'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 Stefania Bellavia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefania Bellavia more than expected).
Fields of papers citing papers by Stefania Bellavia
This network shows the impact of papers produced by Stefania Bellavia. 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 Stefania Bellavia. The network helps show where Stefania Bellavia may publish in the future.
Co-authorship network of co-authors of Stefania Bellavia
This figure shows the co-authorship network connecting the top 25 collaborators of Stefania Bellavia. A scholar is included among the top collaborators of Stefania Bellavia 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 Stefania Bellavia. Stefania Bellavia 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 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | Theoretical study of an adaptive cubic regularization method with dynamic inexact Hessian information | 4 |
| 10 | Deterministic and stochastic inexact regularization algorithms for nonconvex optimization with optimal complexity. | 3 |
| 11 | 13 | |
| 12 | 14 | |
| 13 | 6 | |
| 14 | 27 | |
| 15 | 10 | |
| 16 | 10 | |
| 17 | 26 | |
| 18 | 3 | |
| 19 | 58 | |
| 20 | 7 |
About Stefania Bellavia
Stefania Bellavia is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics, having authored 53 papers that have together received 699 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (35 papers), Sparse and Compressive Sensing Techniques (26 papers) and Matrix Theory and Algorithms (25 papers). The work is most often cited by research in Numerical Analysis (446 citations), Computational Theory and Mathematics (366 citations) and Computational Mathematics (10 citations). Stefania Bellavia has collaborated with scholars based in Italy, Belgium and France. Frequent co-authors include Benedetta Morini, M. Macconi, Philippe L. Toint, Jacek Gondzio, Daniela di Serafino, Valentina De Simone, Sandra Pieraccini, Serge Gratton, Margherita Porcelli and Daniele Bertaccini. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and IEEE Access.
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.