Federico Negri
About
In The Last Decade
Federico Negri
11 papers receiving 939 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Statistical and Nonlinear Physics 766
- Computational Mechanics 497
- Statistics, Probability and Uncertainty 321
- Numerical Analysis 175
- Mechanics of Materials 131
Countries citing papers authored by Federico Negri
This map shows the geographic impact of Federico Negri'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 Negri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Negri more than expected).
Fields of papers citing papers by Federico Negri
This network shows the impact of papers produced by Federico Negri. 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 Negri. The network helps show where Federico Negri may publish in the future.
Co-authorship network of co-authors of Federico Negri
This figure shows the co-authorship network connecting the top 25 collaborators of Federico Negri. A scholar is included among the top collaborators of Federico Negri 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 Federico Negri. Federico Negri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | Dimensionality reduction of parameter-dependent problems through proper orthogonal decomposition | Andrea Manzoni, Federico Negri et al. | 8 | |
| 2 | Reduced basis approximation of parametrized optimal flow control problems for the Stokes equations | Computers & Mathematics with Applications | Federico Negri, Andrea Manzoni et al. | 37 |
| 3 | Efficient Reduction Techniques for the Simulation and Optimization of Parametrized Systems : Analysis and Applications | Infoscience (Ecole Polytechnique Fédérale de Lausanne) | Federico Negri | 2 |
| 4 | Reduced Basis Methods for Partial Differential Equations breakdown → | Alfio Quarteroni, Andrea Manzoni et al. | 343 | |
| 5 | Efficient model reduction of parametrized systems by matrix discrete empirical interpolation | Journal of Computational Physics | Federico Negri, Andrea Manzoni et al. | 92 |
| 6 | Reduced Basis Methods for Partial Differential Equations: An Introduction breakdown → | CERN Document Server (European Organization for Nuclear Research) | Alfio Quarteroni, Andrea Manzoni et al. | 408 |
| 7 | Heuristic strategies for the approximation of stability factors in quadratically nonlinear parametrized PDEs | Advances in Computational Mathematics | Andrea Manzoni, Federico Negri | 18 |
| 8 | Reduced Basis Method for Parametrized Elliptic Optimal Control Problems | SIAM Journal on Scientific Computing | Federico Negri, Gianluigi Rozza et al. | 67 |
| 9 | Reduction strategies for PDE-constrained oprimization problems in Haemodynamics | Gianluigi Rozza, Andrea Manzoni et al. | 1 | |
| 10 | Reduction strategies for PDE-constrained optimization problems in haemodynamics | Infoscience (Ecole Polytechnique Fédérale de Lausanne) | Gianluigi Rozza, Andrea Manzoni et al. | 5 |
| 11 | Reduced basis method for parametrized optimal control problems governed by PDEs | Infoscience (Ecole Polytechnique Fédérale de Lausanne) | Federico Negri | 8 |
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.