Andrea Davini

50 total papers · 571 total citations
27 papers, 275 citations indexed

About

Andrea Davini is a scholar working on Applied Mathematics, Statistical and Nonlinear Physics and Computational Theory and Mathematics. According to data from OpenAlex, Andrea Davini has authored 27 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Applied Mathematics, 8 papers in Statistical and Nonlinear Physics and 8 papers in Computational Theory and Mathematics. Recurrent topics in Andrea Davini's work include Geometric Analysis and Curvature Flows (10 papers), Nonlinear Partial Differential Equations (9 papers) and Quantum chaos and dynamical systems (8 papers). Andrea Davini is often cited by papers focused on Geometric Analysis and Curvature Flows (10 papers), Nonlinear Partial Differential Equations (9 papers) and Quantum chaos and dynamical systems (8 papers). Andrea Davini collaborates with scholars based in Italy, France and United States. Andrea Davini's co-authors include Antonio Siconolfi, Albert Fathi, Renato Iturriaga, Marcello Ponsiglione, Costanza Ceccanti, Marco Landi, Carmelina Spanò, Ilaria Fragalà, Vittorio Rossi and Lucia Guidi and has published in prestigious journals such as Journal of Hazardous Materials, Inventiones mathematicae and Journal of Differential Equations.

In The Last Decade

Andrea Davini

24 papers receiving 247 citations

Author Peers

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

Author Last Decade Papers Cites
Andrea Davini 146 113 88 51 46 27 275
Hiroyoshi Mitake 203 1.4× 114 1.0× 118 1.3× 32 0.6× 66 1.4× 36 328
F. Wielonsky 227 1.6× 26 0.2× 66 0.8× 26 0.5× 67 1.5× 31 330
Stephen R. Bernfeld 153 1.0× 29 0.3× 76 0.9× 82 1.6× 52 1.1× 41 312
José Luis Díaz‐Barrero 46 0.3× 26 0.2× 121 1.4× 35 0.7× 21 0.5× 28 331
Yu. L. Daletskiǐ 133 0.9× 43 0.4× 93 1.1× 31 0.6× 167 3.6× 27 304
Filippo Cagnetti 88 0.6× 30 0.3× 110 1.3× 28 0.5× 23 0.5× 18 207
Jin-Woo Park 169 1.2× 71 0.6× 38 0.4× 25 0.5× 43 0.9× 31 326
Wolfgang Gawronski 174 1.2× 28 0.2× 21 0.2× 39 0.8× 46 1.0× 34 308
Simone Di Marino 229 1.6× 29 0.3× 46 0.5× 89 1.7× 73 1.6× 24 328
Truyen Nguyen 219 1.5× 16 0.1× 57 0.6× 74 1.5× 70 1.5× 28 331

Countries citing papers authored by Andrea Davini

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Davini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Davini

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