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.
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
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
The 25 scholars most cited alongside Corrado Gioannini, linked wherever they have
co-authored with each other. Click a name or a connecting line to browse the papers they
share.
Border = papers with Corrado GioanniniLine = papers co-authored togetherCorrado Gioannini links everyone, so they are left out of the graph.
Corrado Gioannini is a scholar working on Modeling and Simulation, Epidemiology and Management Science and Operations Research, having authored 4 papers that have together received 2.7k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), Data-Driven Disease Surveillance (2 papers), COVID-19 and Mental Health (1 paper), Influenza Virus Research Studies (1 paper), Respiratory viral infections research (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), COVID-19 Pandemic Impacts (1 paper) and demographic modeling and climate adaptation (1 paper). The work is most often cited by research in Modeling and Simulation (1.7k citations), Transportation (299 citations) and Economics and Econometrics (892 citations). Corrado Gioannini has collaborated with scholars based in Italy, United States and United Kingdom. Frequent 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. Their work appears in journals such as Nature, Science and BMC Infectious Diseases.
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.