Alessio Andronico

1.9k citations
18 papers · 939 indexed · 1 hit paper · h-index 12
Topics
COVID-19 epidemiological studies (10 papers)SARS-CoV-2 and COVID-19 Research (6 papers)Influenza Virus Research Studies (3 papers)

In The Last Decade

Alessio Andronico

17 papers receiving 918 citations

Hit Papers

Estimating the burden of SARS-CoV-2 in France20202026202220242020200400600

Peers

Alessio Andronico
Comparison fields: 5 of 110
  • Infectious Diseases 528
  • Modeling and Simulation 468
  • Epidemiology 169
  • Economics and Econometrics 131
  • Health 93
Replace Noémie Courtejoie with:
Noémie Courtejoie France
Noémie Lefrancq France
Kylie E. C. Ainslie United Kingdom
Cécile Tran Kiem France
Miriam Casey-Bryars Ireland
Unyeong Go South Korea
Dongxuan Chen Hong Kong
Shanlu Zhao China
Dillon C. Adam Australia
Stefanie Hossmann Switzerland
Alessio Andronico relative to Noémie Courtejoie France Noémie Courtejoie's profile →
Citations per field
00.5×3.3×
Noémie Courtejoie · 1×
Citations per year

Countries citing papers authored by Alessio Andronico

Since Specialization
Citations

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

Fields of papers citing papers by Alessio Andronico

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessio Andronico

This figure shows the co-authorship network connecting the top 25 collaborators of Alessio Andronico. A scholar is included among the top collaborators of Alessio Andronico 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 Alessio Andronico. Alessio Andronico is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 4
3 3
4 31
5 25
6 11
7 28
8 42
9
A race between SARS-CoV-2 variants and vaccination: The case of the B.1.1.7 variant in France
2
10 11
11 40
12
Estimating the burden of SARS-CoV-2 in Francebreakdown →
636
13 2
14 20
15 6
16 11
17 37
18 30

About Alessio Andronico

Alessio Andronico is a scholar working on Modeling and Simulation, Infectious Diseases and Health, having authored 18 papers that have together received 939 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (10 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Influenza Virus Research Studies (3 papers). The work is most often cited by research in Modeling and Simulation (468 citations), Infectious Diseases (528 citations) and Health (93 citations). Alessio Andronico has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Simon Cauchemez, Henrik Salje, Nathanaël Hozé, Pierre‐Yves Boëlle, Paolo Bosetti, Juliette Paireau, Cécile Tran Kiem, Arnaud Fontanet, Noémie Lefrancq and D Lévy-Brühl. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

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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