Daniela Calvetti
Impact in
- Computational Mathematics top 2%
- Numerical Analysis top 1%
- Advanced Optimization Algorithms Research
Papers in
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- Matrix Theory and Algorithms 47
-
- Sparse and Compressive Sensing Techniques 30
- Co-authors
- Lothar Reichel (72 shared papers)Erkki Somersalo (115 shared papers)Fiorella Sgallari (9 shared papers)Bryan W. Lewis (12 shared papers)Serena Morigi (4 shared papers)Gene H. Golub (7 shared papers)James Baglama (6 shared papers)Rossana Occhipinti (8 shared papers)
- Journals
- Inverse Problems (24 papers)Journal of Computational and Applied Mathematics (13 papers)Journal of Theoretical Biology (10 papers)Numerical Algorithms (9 papers)Linear Algebra and its Applications (7 papers)
- Partner nations
- United StatesItalyFinland
In The Last Decade
Daniela Calvetti
187 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 148
- Computational Mathematics 73
- Numerical Analysis 518
- Mathematical Physics 815
- Computational Theory and Mathematics 1.1k
- Applied Mathematics 484
Countries citing papers authored by Daniela Calvetti
This map shows the geographic impact of Daniela Calvetti'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 Daniela Calvetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Calvetti more than expected).
Fields of papers citing papers by Daniela Calvetti
This network shows the impact of papers produced by Daniela Calvetti. 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 Daniela Calvetti. The network helps show where Daniela Calvetti may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Calvetti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 199 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 395 | |
| 2 | 1996 | 164 | |
| 3 | 2007 | 155 | |
| 4 | 2003 | 125 | |
| 5 | 1998 | 105 | |
| 6 | 2018 | 102 | |
| 7 | 1999 | 99 | |
| 8 | 2000 | 97 | |
| 9 | An implicitly restarted Lanczos method for large symmetric eigenvalue problems | 1994 | 91 |
| 10 | 2002 | 78 | |
| 11 | 2008 | 78 | |
| 12 | 2003 | 73 | |
| 13 | 2000 | 64 | |
| 14 | 2002 | 58 | |
| 15 | 2009 | 57 | |
| 16 | 2004 | 56 | |
| 17 | On the Choice of Subspace for Iterative Methods for Linear Discrete Ill-Posed Problems | 2001 | 55 |
| 18 | 2007 | 51 | |
| 19 | 2008 | 50 | |
| 20 | 2004 | 50 |
About Daniela Calvetti
Daniela Calvetti is a scholar working on Computational Theory and Mathematics, Computational Mechanics, Mathematical Physics, Atomic and Molecular Physics, and Optics and Applied Mathematics, having authored 199 papers that have together received 4.1k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (47 papers), Numerical methods in inverse problems (39 papers), Sparse and Compressive Sensing Techniques (30 papers), Electromagnetic Scattering and Analysis (24 papers), Image and Signal Denoising Methods (21 papers), Statistical and numerical algorithms (18 papers), Neuroscience and Neuropharmacology Research (13 papers) and Gaussian Processes and Bayesian Inference (12 papers). The work is most often cited by research in Computational Mathematics (73 citations), Numerical Analysis (518 citations), Mathematical Physics (815 citations), Computational Theory and Mathematics (1.1k citations) and Applied Mathematics (484 citations). Daniela Calvetti has collaborated with scholars based in United States, Italy and Finland. Frequent co-authors include Lothar Reichel, Erkki Somersalo, Fiorella Sgallari, Bryan W. Lewis, Serena Morigi, Gene H. Golub, James Baglama, Rossana Occhipinti, William B. Gragg and Jari P. Kaipio. Their work appears in journals such as Inverse Problems, Journal of Computational and Applied Mathematics, Journal of Theoretical Biology, Numerical Algorithms and Linear Algebra and its Applications.
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.