Roberto Livrea

66 total papers · 608 total citations
48 papers, 413 citations indexed

About

Roberto Livrea is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Numerical Analysis. According to data from OpenAlex, Roberto Livrea has authored 48 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Applied Mathematics, 33 papers in Computational Theory and Mathematics and 15 papers in Numerical Analysis. Recurrent topics in Roberto Livrea's work include Nonlinear Partial Differential Equations (36 papers), Advanced Mathematical Modeling in Engineering (28 papers) and Nonlinear Differential Equations Analysis (26 papers). Roberto Livrea is often cited by papers focused on Nonlinear Partial Differential Equations (36 papers), Advanced Mathematical Modeling in Engineering (28 papers) and Nonlinear Differential Equations Analysis (26 papers). Roberto Livrea collaborates with scholars based in Italy, France and Poland. Roberto Livrea's co-authors include Gabriele Bonanno, S. Marano, Pasquale Candito, Francesca Faraci, Nikolaos S. Papageorgiou, Dumitru Motreanu, Lin Li, Martin Schechter, Siegfried Carl and Jean Mawhin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Journal of Differential Equations.

In The Last Decade

Roberto Livrea

43 papers receiving 360 citations

Author Peers

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

Author Last Decade Papers Cites
Roberto Livrea 386 260 84 81 40 48 413
Andrew Acker 327 0.8× 344 1.3× 98 1.2× 92 1.1× 56 1.4× 49 459
Carlo Pucci 325 0.8× 244 0.9× 177 2.1× 48 0.6× 27 0.7× 26 414
Marek Galewski 328 0.8× 219 0.8× 52 0.6× 123 1.5× 28 0.7× 89 382
Vesa Mustonen 359 0.9× 354 1.4× 147 1.8× 50 0.6× 22 0.6× 26 463
M. Matzeu 330 0.9× 241 0.9× 99 1.2× 81 1.0× 42 1.1× 43 396
D. R. Dunninger 324 0.8× 146 0.6× 100 1.2× 180 2.2× 33 0.8× 27 405
Fausto Ferrari 339 0.9× 240 0.9× 142 1.7× 39 0.5× 48 1.2× 61 450
Shin–Hwa Wang 329 0.9× 200 0.8× 73 0.9× 108 1.3× 14 0.3× 53 369
Feng Zhou 316 0.8× 249 1.0× 146 1.7× 47 0.6× 40 1.0× 62 426
Keith Schrader 338 0.9× 151 0.6× 65 0.8× 254 3.1× 43 1.1× 26 433

Countries citing papers authored by Roberto Livrea

Since Specialization
Citations

This map shows the geographic impact of Roberto Livrea'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 Roberto Livrea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Livrea more than expected).

Fields of papers citing papers by Roberto Livrea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Livrea. 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 Roberto Livrea. The network helps show where Roberto Livrea may publish in the future.

Co-authorship network of co-authors of Roberto Livrea

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Livrea. A scholar is included among the top collaborators of Roberto Livrea 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 Roberto Livrea. Roberto Livrea 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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