Marco Ajelli

124 papers and 8.1k indexed citations i.

About

Marco Ajelli is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology. According to data from OpenAlex, Marco Ajelli has authored 124 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Modeling and Simulation, 68 papers in Infectious Diseases and 43 papers in Epidemiology. Recurrent topics in Marco Ajelli’s work include COVID-19 epidemiological studies (105 papers), SARS-CoV-2 and COVID-19 Research (38 papers) and Influenza Virus Research Studies (27 papers). Marco Ajelli is often cited by papers focused on COVID-19 epidemiological studies (105 papers), SARS-CoV-2 and COVID-19 Research (38 papers) and Influenza Virus Research Studies (27 papers). Marco Ajelli collaborates with scholars based in United States, Italy and China. Marco Ajelli's co-authors include Stefano Merler, Alessandro Vespignani, Maria Litvinova, Hongjie Yu, Cécile Viboud, Ana Pastore y Piontti, Ira M. Longini, Piero Poletti, Matteo Chinazzi and M. Elizabeth Halloran and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Marco Ajelli i

Fields of papers citing papers by Marco Ajelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marco Ajelli

Since Specialization
Citations

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

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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2025