Federico Negri

26 total papers · 1.6k total citations
11 papers, 982 citations indexed

About

Federico Negri is a scholar working on Numerical Analysis, Statistical and Nonlinear Physics and Computational Mechanics. According to data from OpenAlex, Federico Negri has authored 11 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Numerical Analysis, 7 papers in Statistical and Nonlinear Physics and 7 papers in Computational Mechanics. Recurrent topics in Federico Negri's work include Model Reduction and Neural Networks (7 papers), Numerical methods for differential equations (7 papers) and Advanced Numerical Methods in Computational Mathematics (4 papers). Federico Negri is often cited by papers focused on Model Reduction and Neural Networks (7 papers), Numerical methods for differential equations (7 papers) and Advanced Numerical Methods in Computational Mathematics (4 papers). Federico Negri collaborates with scholars based in Switzerland, Italy and United States. Federico Negri's co-authors include Andrea Manzoni, Alfio Quarteroni, Gianluigi Rozza and David Amsallem and has published in prestigious journals such as Journal of Computational Physics, SIAM Journal on Scientific Computing and Computers & Mathematics with Applications.

In The Last Decade

Federico Negri

11 papers receiving 933 citations

Hit Papers

Reduced Basis Methods for... 2015 2026 2018 2022 2015 2015 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Federico Negri 761 499 320 176 131 11 982
Maxime Barrault 785 1.0× 480 1.0× 357 1.1× 188 1.1× 153 1.2× 5 1.0k
A.T. Patera 645 0.8× 383 0.8× 350 1.1× 144 0.8× 125 1.0× 5 826
Julien Cortial 812 1.1× 499 1.0× 401 1.3× 167 0.9× 112 0.9× 16 1.1k
L. Machiels 435 0.6× 541 1.1× 223 0.7× 115 0.7× 147 1.1× 18 837
Matthew J. Zahr 764 1.0× 572 1.1× 342 1.1× 133 0.8× 102 0.8× 45 1.1k
David J. Knezevic 408 0.5× 313 0.6× 212 0.7× 123 0.7× 131 1.0× 33 816
Christophe Prud'Homme 538 0.7× 550 1.1× 250 0.8× 166 0.9× 170 1.3× 52 1.1k
Bing Yu 632 0.8× 285 0.6× 115 0.4× 54 0.3× 164 1.3× 9 822
Einar M. Rønquist 423 0.6× 690 1.4× 147 0.5× 209 1.2× 280 2.1× 40 1.1k
Yibo Yang 634 0.8× 278 0.6× 141 0.4× 45 0.3× 120 0.9× 23 1.1k

Countries citing papers authored by Federico Negri

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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