Alessandra De Rossi
- Mechanics of Materials top 2%
- Computational Mechanics top 2%
- Computer Vision and Pattern Recognition top 10%
- Statistical and Nonlinear Physics top 5%
- Numerical Analysis top 5%
- Co-authors
- Roberto CavorettoEmma PerracchioneGiampietro AllasiaYaroslav D. SergeyevMarat S. MukhametzhanovEzio VenturinoFrancesco Dell’AccioFilomena Di Tommaso
- Topics
- Advanced Numerical Analysis Techniques (33 papers)Numerical methods in engineering (27 papers)Electromagnetic Scattering and Analysis (12 papers)
- Partner nations
- ItalySwitzerlandAustria
In The Last Decade
Alessandra De Rossi
73 papers receiving 816 citations
Peers
Comparison fields: 5 of 84
- Mechanics of Materials 446
- Computational Mechanics 425
- Computer Vision and Pattern Recognition 129
- Statistical and Nonlinear Physics 127
- Numerical Analysis 123
Countries citing papers authored by Alessandra De Rossi
This map shows the geographic impact of Alessandra De Rossi'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 De Rossi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandra De Rossi more than expected).
Fields of papers citing papers by Alessandra De Rossi
This network shows the impact of papers produced by Alessandra De Rossi. 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 De Rossi. The network helps show where Alessandra De Rossi may publish in the future.
Co-authorship network of co-authors of Alessandra De Rossi
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandra De Rossi. A scholar is included among the top collaborators of Alessandra De Rossi 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 De Rossi. Alessandra De Rossi 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 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 9 | |
| 12 | 2 | |
| 13 | 30 | |
| 14 | 3 | |
| 15 | 19 | |
| 16 | 26 | |
| 17 | Review of "Linear systems arising for second-order mimetic divergence and gradient discretizations", J. E. Castillo and M. Yasuda, J. Math. Model. Algorithms, vol. 4, 2005, 67-82.MR2231531 | 2 |
| 18 | 2 | |
| 19 | 3 | |
| 20 | A scattered data approximation scheme for the detection of fault lines | 5 |
About Alessandra De Rossi
Alessandra De Rossi is a scholar working on Computational Mechanics, Numerical Analysis and Mechanics of Materials, having authored 79 papers that have together received 858 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (33 papers), Numerical methods in engineering (27 papers) and Electromagnetic Scattering and Analysis (12 papers). The work is most often cited by research in Numerical Analysis (123 citations), Computational Mechanics (425 citations) and Modeling and Simulation (86 citations). Alessandra De Rossi has collaborated with scholars based in Italy, Switzerland and Austria. Frequent co-authors include Roberto Cavoretto, Emma Perracchione, Giampietro Allasia, Yaroslav D. Sergeyev, Marat S. Mukhametzhanov, Ezio Venturino, Francesco Dell’Accio, Filomena Di Tommaso, Stefano De Marchı and Gabriele Santin. Their work appears in journals such as Information Sciences, Journal of Mathematical Analysis and Applications and CIRP Annals.
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.