Federico Poloni
Impact in
- Computational Mathematics top 5%
- Tensor decomposition and applications
- Numerical Analysis top 5%
- Numerical methods for differential equations
- Advanced Optimization Algorithms Research
Papers in
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- Matrix Theory and Algorithms 30
-
- Numerical methods for differential equations 15
- Advanced Optimization Algorithms Research 9
- Co-authors
- Dario A. Bini (7 shared papers)Beatrice Meini (8 shared papers)Bruno Iannazzo (8 shared papers)Giacomo Sbrana (6 shared papers)Volker Mehrmann (5 shared papers)Paola Flocchini (2 shared papers)Nicola Santoro (2 shared papers)Giuseppe Antonio Di Luna (2 shared papers)
In The Last Decade
Federico Poloni
44 papers receiving 359 citations
Peers
Comparison fields: 5 of 60
- Computational Mathematics 34
- Numerical Analysis 131
- Computational Theory and Mathematics 232
- Applied Mathematics 71
- Statistical and Nonlinear Physics 69
Countries citing papers authored by Federico Poloni
This map shows the geographic impact of Federico Poloni'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 Federico Poloni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Poloni more than expected).
Fields of papers citing papers by Federico Poloni
This network shows the impact of papers produced by Federico Poloni. 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 Federico Poloni. The network helps show where Federico Poloni may publish in the future.
Co-authors
The 20 scholars most cited alongside Federico Poloni, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 60 | |
| 2 | 2008 | 46 | |
| 3 | 2016 | 42 | |
| 4 | 2010 | 25 | |
| 5 | 2015 | 16 | |
| 6 | The Mutual Visibility Problem for Oblivious Robots | 2014 | 15 |
| 7 | 2012 | 15 | |
| 8 | 2011 | 12 | |
| 9 | Fast solution of a certain Riccati equation through Cauchy-like matrices | 2009 | 10 |
| 10 | 2018 | 10 | |
| 11 | 2017 | 10 | |
| 12 | 2015 | 10 | |
| 13 | 2015 | 10 | |
| 14 | 2012 | 9 | |
| 15 | 2011 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2019 | 6 | |
| 18 | 2016 | 6 | |
| 19 | 2011 | 6 | |
| 20 | 2012 | 6 |
About Federico Poloni
Federico Poloni is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Statistical and Nonlinear Physics, Computational Mathematics and Atomic and Molecular Physics, and Optics, having authored 46 papers that have together received 397 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (30 papers), Numerical methods for differential equations (15 papers), Advanced Optimization Algorithms Research (9 papers), Model Reduction and Neural Networks (7 papers), Electromagnetic Scattering and Analysis (6 papers), Tensor decomposition and applications (6 papers), Financial Risk and Volatility Modeling (4 papers) and Optimization and Search Problems (2 papers). The work is most often cited by research in Computational Mathematics (34 citations), Numerical Analysis (131 citations), Computational Theory and Mathematics (232 citations), Applied Mathematics (71 citations) and Statistical and Nonlinear Physics (69 citations). Federico Poloni has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include Dario A. Bini, Beatrice Meini, Bruno Iannazzo, Giacomo Sbrana, Volker Mehrmann, Paola Flocchini, Nicola Santoro, Giuseppe Antonio Di Luna, Giovanni Viglietta and Vanni Noferini. Their work appears in journals such as Numerical Linear Algebra with Applications, SIAM Journal on Matrix Analysis and Applications, Linear Algebra and its Applications, Numerische Mathematik and Journal of Multivariate 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.