Marco Ajelli
Impact in
- Modeling and Simulation top 0.01%
- COVID-19 epidemiological studies
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Outbreaks Research
Papers in
-
- COVID-19 epidemiological studies 106
-
- SARS-CoV-2 and COVID-19 Research 37
- Viral Infections and Outbreaks Research 23
- COVID-19 Clinical Research Studies 13
- Co-authors
- Stefano Merler (74 shared papers)Alessandro Vespignani (27 shared papers)Maria Litvinova (17 shared papers)Hongjie Yu (33 shared papers)Cécile Viboud (17 shared papers)Ana Pastore y Piontti (10 shared papers)Ira M. Longini (8 shared papers)Piero Poletti (34 shared papers)
- Journals
- BMC Medicine (10 papers)PLoS Computational Biology (8 papers)Nature Communications (7 papers)Epidemics (7 papers)PLoS ONE (7 papers)
- Partner nations
- United StatesItalyChina
In The Last Decade
Marco Ajelli
118 papers receiving 8.4k citations
Marco Ajelli's Hit Papers
Peers
Comparison fields: 5 of 179
- Modeling and Simulation 5.6k
- Infectious Diseases 2.8k
- Health 813
- Transportation 641
- Epidemiology 2.1k
Countries citing papers authored by Marco Ajelli
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).
Fields of papers citing papers by Marco Ajelli
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.
Co-authors
The 25 scholars most cited alongside Marco Ajelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak Hit paper breakdown → | 2020 | 2411 |
| 2 | Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China Hit paper breakdown → | 2020 | 732 |
| 3 | Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19 Hit paper breakdown → | 2020 | 519 |
| 4 | 2020 | 243 | |
| 5 | 2009 | 209 | |
| 6 | 2015 | 195 | |
| 7 | 2010 | 188 | |
| 8 | Modeling transmission of SARS-CoV-2 Omicron in China Hit paper breakdown → | 2022 | 175 |
| 9 | 2008 | 150 | |
| 10 | 2018 | 146 | |
| 11 | 2012 | 143 | |
| 12 | Evaluation of Waning of SARS-CoV-2 Vaccine–Induced Immunity Hit paper breakdown → | 2023 | 137 |
| 13 | 2011 | 135 | |
| 14 | 2017 | 132 | |
| 15 | 2020 | 128 | |
| 16 | 2021 | 126 | |
| 17 | 2011 | 125 | |
| 18 | 2009 | 120 | |
| 19 | 2012 | 103 | |
| 20 | 2019 | 94 |
About Marco Ajelli
Marco Ajelli is a scholar working on Modeling and Simulation, Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health and Health, having authored 128 papers that have together received 8.6k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (106 papers), SARS-CoV-2 and COVID-19 Research (37 papers), Influenza Virus Research Studies (28 papers), Viral Infections and Outbreaks Research (23 papers), Vaccine Coverage and Hesitancy (15 papers), COVID-19 Pandemic Impacts (13 papers), COVID-19 Clinical Research Studies (13 papers) and Data-Driven Disease Surveillance (12 papers). The work is most often cited by research in Modeling and Simulation (5.6k citations), Infectious Diseases (2.8k citations), Health (813 citations), Transportation (641 citations) and Epidemiology (2.1k citations). Marco Ajelli has collaborated with scholars based in United States, Italy and China. Frequent 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. Their work appears in journals such as BMC Medicine, PLoS Computational Biology, Nature Communications, Epidemics and PLoS ONE.
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.