Matteo Spuri

21 total papers · 512 total citations
14 papers, 188 citations indexed

About

Matteo Spuri is a scholar working on Modeling and Simulation, Infectious Diseases and Economics and Econometrics. According to data from OpenAlex, Matteo Spuri has authored 14 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Modeling and Simulation, 7 papers in Infectious Diseases and 6 papers in Economics and Econometrics. Recurrent topics in Matteo Spuri's work include COVID-19 epidemiological studies (8 papers), COVID-19 and healthcare impacts (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Matteo Spuri is often cited by papers focused on COVID-19 epidemiological studies (8 papers), COVID-19 and healthcare impacts (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Matteo Spuri collaborates with scholars based in Italy, Sweden and United States. Matteo Spuri's co-authors include Alberto Mateo‐Urdiales, Antonino Bella, Flavia Riccardo, Patrizio Pezzotti, Maria Fenicia Vescio, Massimo Fabiani, Martina Del Manso, Xanthi Andrianou, Daniele Petrone and Stefano Boros and has published in prestigious journals such as Nature Communications, Vaccine and Epidemiology and Infection.

In The Last Decade

Matteo Spuri

13 papers receiving 184 citations

Author Peers

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

Author Last Decade Papers Cites
Matteo Spuri 92 86 54 46 31 14 188
Michaela Vollmer 71 0.8× 62 0.7× 27 0.5× 56 1.2× 38 1.2× 13 244
Michele Capraro 65 0.7× 42 0.5× 60 1.1× 33 0.7× 65 2.1× 13 230
Bimandra A Djaafara 119 1.3× 83 1.0× 45 0.8× 39 0.8× 11 0.4× 16 251
Jong Hyung Lee 84 0.9× 29 0.3× 60 1.1× 38 0.8× 32 1.0× 9 255
Anthony Hauser 124 1.3× 107 1.2× 28 0.5× 29 0.6× 12 0.4× 15 223
Keegan McCaffrey 42 0.5× 71 0.8× 43 0.8× 46 1.0× 53 1.7× 9 199
Christopher S. Holliday 69 0.8× 32 0.4× 30 0.6× 58 1.3× 65 2.1× 15 265
Floriana D’Ambrosio 91 1.0× 43 0.5× 77 1.4× 44 1.0× 30 1.0× 24 277
Raphael Ximenes 104 1.1× 80 0.9× 14 0.3× 39 0.8× 20 0.6× 21 249
Héctor Pifarré i Arolas 55 0.6× 38 0.4× 53 1.0× 72 1.6× 31 1.0× 11 226

Countries citing papers authored by Matteo Spuri

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Spuri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Spuri

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