Gianni Arioli

76 total papers · 1.4k total citations
55 papers, 963 citations indexed

About

Gianni Arioli is a scholar working on Computational Theory and Mathematics, Applied Mathematics and Statistical and Nonlinear Physics. According to data from OpenAlex, Gianni Arioli has authored 55 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computational Theory and Mathematics, 22 papers in Applied Mathematics and 15 papers in Statistical and Nonlinear Physics. Recurrent topics in Gianni Arioli's work include Advanced Mathematical Modeling in Engineering (23 papers), Nonlinear Partial Differential Equations (19 papers) and Quantum chaos and dynamical systems (10 papers). Gianni Arioli is often cited by papers focused on Advanced Mathematical Modeling in Engineering (23 papers), Nonlinear Partial Differential Equations (19 papers) and Quantum chaos and dynamical systems (10 papers). Gianni Arioli collaborates with scholars based in Italy, United States and Sweden. Gianni Arioli's co-authors include Filippo Gazzola, Andrzej Szulkin, Hans Koch, Hans P. Koch, Susanna Terracini, Hans-Christoph Grunau, D. Ambrosi, Alfio Quarteroni, Fabio Nobile and Piotr Zgliczyński and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications in Mathematical Physics and Physics Letters A.

In The Last Decade

Gianni Arioli

53 papers receiving 879 citations

Author Peers

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

Author Last Decade Papers Cites
Gianni Arioli 408 331 297 280 148 55 963
V. М. Alekseev 138 0.3× 283 0.9× 310 1.0× 277 1.0× 114 0.8× 35 910
Jens Lorenz 249 0.6× 212 0.6× 166 0.6× 188 0.7× 299 2.0× 52 921
Xiao-Biao Lin 204 0.5× 209 0.6× 300 1.0× 184 0.7× 175 1.2× 47 1.1k
Klaus Kirchgässner 227 0.6× 164 0.5× 428 1.4× 237 0.8× 143 1.0× 39 1.1k
Paolo Tilli 623 1.5× 535 1.6× 160 0.5× 384 1.4× 126 0.9× 55 1.2k
А. Д. Мышкис 321 0.8× 240 0.7× 93 0.3× 127 0.5× 234 1.6× 52 1.0k
Krešimir Veselić 152 0.4× 747 2.3× 264 0.9× 186 0.7× 412 2.8× 56 1.2k
Hao Wu 482 1.2× 530 1.6× 70 0.2× 199 0.7× 65 0.4× 74 1.2k
Italo Capuzzo Dolcetta 614 1.5× 647 2.0× 71 0.2× 213 0.8× 133 0.9× 52 1.1k
Roberto Conti 425 1.0× 135 0.4× 189 0.6× 261 0.9× 332 2.2× 81 1.1k

Countries citing papers authored by Gianni Arioli

Since Specialization
Citations

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

Fields of papers citing papers by Gianni Arioli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianni Arioli

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