Alessandra Bernardi
- Computational Mathematics top 0.5%
- Computational Theory and Mathematics top 5%
- Radiology, Nuclear Medicine and Imaging
- Geometry and Topology top 10%
- Artificial Intelligence
- Co-authors
- Alessandro GimiglianoEdoardo BallicoMaria Virginia CatalisanoBernard MourrainAndrea MartoniClaudio ZamagniMarta RosatiEnrico Carlini
- Topics
- Tensor decomposition and applications (33 papers)Polynomial and algebraic computation (10 papers)Medical Imaging Techniques and Applications (5 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaCancer
In The Last Decade
Alessandra Bernardi
47 papers receiving 408 citations
Peers
Comparison fields: 5 of 63
- Computational Mathematics 256
- Computational Theory and Mathematics 153
- Radiology, Nuclear Medicine and Imaging 79
- Geometry and Topology 65
- Artificial Intelligence 40
Countries citing papers authored by Alessandra Bernardi
This map shows the geographic impact of Alessandra Bernardi'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 Alessandra Bernardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandra Bernardi more than expected).
Fields of papers citing papers by Alessandra Bernardi
This network shows the impact of papers produced by Alessandra Bernardi. 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 Alessandra Bernardi. The network helps show where Alessandra Bernardi may publish in the future.
Co-authorship network of co-authors of Alessandra Bernardi
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandra Bernardi. A scholar is included among the top collaborators of Alessandra Bernardi 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 Alessandra Bernardi. Alessandra Bernardi 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 | 5 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 9 | |
| 7 | Computing the cactus rank of a general form | 1 |
| 8 | 24 | |
| 9 | 15 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 9 | |
| 13 | 70 | |
| 14 | 47 | |
| 15 | 12 | |
| 16 | On the stratification of secant varieties of Veronese varieties via symmetric rank | 2 |
| 17 | 15 | |
| 18 | 11 | |
| 19 | 10 | |
| 20 | 12 |
About Alessandra Bernardi
Alessandra Bernardi is a scholar working on Computational Mathematics, Geometry and Topology and Computational Theory and Mathematics, having authored 49 papers that have together received 432 indexed citations. Recurring topics across this work include Tensor decomposition and applications (33 papers), Polynomial and algebraic computation (10 papers) and Medical Imaging Techniques and Applications (5 papers). The work is most often cited by research in Computational Mathematics (256 citations), Computational Theory and Mathematics (153 citations) and Algebra and Number Theory (38 citations). Alessandra Bernardi has collaborated with scholars based in Italy, France and Germany. Frequent co-authors include Alessandro Gimigliano, Edoardo Ballico, Maria Virginia Catalisano, Bernard Mourrain, Andrea Martoni, Claudio Zamagni, Marta Rosati, Enrico Carlini, Pierre Comon and Kristian Ranestad. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer.
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.