Simone Fagioli

54 total papers · 446 total citations
16 papers, 199 citations indexed

About

Simone Fagioli is a scholar working on Modeling and Simulation, Applied Mathematics and Control and Systems Engineering. According to data from OpenAlex, Simone Fagioli has authored 16 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Modeling and Simulation, 7 papers in Applied Mathematics and 5 papers in Control and Systems Engineering. Recurrent topics in Simone Fagioli's work include Mathematical Biology Tumor Growth (8 papers), Nonlinear Partial Differential Equations (4 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (4 papers). Simone Fagioli is often cited by papers focused on Mathematical Biology Tumor Growth (8 papers), Nonlinear Partial Differential Equations (4 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (4 papers). Simone Fagioli collaborates with scholars based in Italy, United Kingdom and Poland. Simone Fagioli's co-authors include Marco Di Francesco, Massimiliano D. Rosini, Antonio Esposito, José A. Carrillo, Filippo Santambrogio, Oliver Tse, Giovanni Russo, Maria Bruna and Luigi C. Berselli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Differential Equations and Nonlinear Analysis.

In The Last Decade

Simone Fagioli

13 papers receiving 187 citations

Author Peers

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

Author Last Decade Papers Cites
Simone Fagioli 89 66 51 48 42 16 199
David Poyato 69 0.8× 34 0.5× 27 0.5× 24 0.5× 5 0.1× 11 242
Edgard A. Pimentel 42 0.5× 72 1.1× 8 0.2× 21 0.4× 28 0.7× 21 181
Silvia Frassu 145 1.6× 108 1.6× 36 0.7× 35 0.7× 38 0.9× 20 284
Matías G. Delgadino 56 0.6× 113 1.7× 18 0.4× 14 0.3× 60 1.4× 15 218
Claudia Totzeck 39 0.4× 14 0.2× 9 0.2× 23 0.5× 28 0.7× 19 220
Ada Pulvirenti 46 0.5× 94 1.4× 17 0.3× 8 0.2× 13 0.3× 12 240
Manuela Yuste Chaves 60 0.7× 173 2.6× 54 1.1× 57 1.2× 105 2.5× 19 273
Nicole Cusimano 91 1.0× 32 0.5× 19 0.4× 12 0.3× 24 0.6× 17 267
Sadashiv G. Deo 38 0.4× 157 2.4× 17 0.3× 114 2.4× 31 0.7× 19 289
Kai Du 33 0.4× 56 0.8× 26 0.5× 46 1.0× 56 1.3× 26 264

Countries citing papers authored by Simone Fagioli

Since Specialization
Citations

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

Fields of papers citing papers by Simone Fagioli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simone Fagioli

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