Corrado Gioannini

4.6k total citations · 1 hit paper
4 papers, 2.7k citations indexed

About

Corrado Gioannini is a scholar working on Modeling and Simulation, Epidemiology and Infectious Diseases. According to data from OpenAlex, Corrado Gioannini has authored 4 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Modeling and Simulation, 3 papers in Epidemiology and 1 paper in Infectious Diseases. Recurrent topics in Corrado Gioannini's work include COVID-19 epidemiological studies (4 papers), Data-Driven Disease Surveillance (2 papers) and COVID-19 and Mental Health (1 paper). Corrado Gioannini is often cited by papers focused on COVID-19 epidemiological studies (4 papers), Data-Driven Disease Surveillance (2 papers) and COVID-19 and Mental Health (1 paper). Corrado Gioannini collaborates with scholars based in Italy, United States and United Kingdom. Corrado Gioannini's co-authors include Alessandro Vespignani, Marco Ajelli, Luca Rossi, Kaiyuan Sun, Maria Litvinova, Stefano Merler, Cécile Viboud, Matteo Chinazzi, Xinyue Xiong and Jessica T. Davis and has published in prestigious journals such as Nature, Science and BMC Infectious Diseases.

In The Last Decade

Corrado Gioannini

4 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak

2020 2.4k citations Matteo Chinazzi, Jessica T. Davis et al. Science profile →

Peers

Corrado Gioannini

MS

EE

ID

EPIDE

SPS

Xinyue Xiong China

Kunpeng Mu China

Jessica T. Davis United States

Bernardo Gutiérrez Ecuador

Ruoran Li China

Brennan Klein United States

Maylis Layan France

Kaiyuan Sun United States

Matteo Chinazzi United States

Chia-Hung Yang United States

Xinyue Xiong China

Corrado Gioannini

1.7k ×1.0

MS

891 ×1.0

EE

503 ×1.0

ID

444 ×0.9

EPIDE

323 ×1.0

SPS

Citations per year, relative to Corrado Gioannini Corrado Gioannini (= 1×) peers Xinyue Xiong

Countries citing papers authored by Corrado Gioannini

Since Specialization

Citations

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

Fields of papers citing papers by Corrado Gioannini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Corrado Gioannini

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

All Works

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4 of 4 papers shown

1.

Davis, Jessica T., Matteo Chinazzi, Nicola Perra, et al.. (2021). Cryptic transmission of SARS-CoV-2 and the first COVID-19 wave. Nature. 600(7887). 127–132. 70 indexed citations

2.

Chinazzi, Matteo, Jessica T. Davis, Marco Ajelli, et al.. (2020). The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak. Science. 368(6489). 395–400. 2411 indexed citations breakdown →

3.

Eames, Ken, Ellen Brooks‐Pollock, Daniela Paolotti, et al.. (2011). Rapid assessment of influenza vaccine effectiveness: analysis of an internet-based cohort. Epidemiology and Infection. 140(7). 1309–1315. 26 indexed citations

4.

Broeck, Wouter Van den, Corrado Gioannini, Bruno Gonçalves, et al.. (2011). The GLEaMviz computational tool, a publicly available software to explore realistic epidemic spreading scenarios at the global scale. BMC Infectious Diseases. 11(1). 37–37. 171 indexed citations

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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