Stefano Merler

24.2k total citations · 4 hit papers
157 papers, 9.2k citations indexed

About

Stefano Merler is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology. According to data from OpenAlex, Stefano Merler has authored 157 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Modeling and Simulation, 68 papers in Infectious Diseases and 52 papers in Epidemiology. Recurrent topics in Stefano Merler's work include COVID-19 epidemiological studies (89 papers), Viral Infections and Vectors (31 papers) and Influenza Virus Research Studies (26 papers). Stefano Merler is often cited by papers focused on COVID-19 epidemiological studies (89 papers), Viral Infections and Vectors (31 papers) and Influenza Virus Research Studies (26 papers). Stefano Merler collaborates with scholars based in Italy, United States and United Kingdom. Stefano Merler's co-authors include Marco Ajelli, Alessandro Vespignani, Piero Poletti, Maria Litvinova, Ira M. Longini, Cécile Viboud, Ana Pastore y Piontti, Hongjie Yu, 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

Stefano Merler

152 papers receiving 9.0k citations

Hit Papers

The effect of travel restrictions on the spread of the 20... 2020 2026 2022 2024 2020 2020 2020 2023 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stefano Merler Italy 46 5.1k 2.6k 2.2k 1.6k 1.5k 157 9.2k
Marco Ajelli United States 42 5.6k 1.1× 2.8k 1.1× 2.1k 1.0× 1.2k 0.7× 1.6k 1.1× 128 8.6k
Lauren Ancel Meyers United States 48 3.8k 0.8× 2.1k 0.8× 1.8k 0.8× 1.5k 1.0× 867 0.6× 162 9.7k
M. Elizabeth Halloran United States 49 6.5k 1.3× 4.4k 1.7× 4.6k 2.1× 2.5k 1.5× 1.6k 1.0× 161 13.0k
Moritz U. G. Kraemer United Kingdom 39 3.9k 0.8× 3.5k 1.4× 1.3k 0.6× 3.6k 2.2× 1.5k 1.0× 101 9.2k
Jeffrey Shaman United States 54 5.4k 1.1× 3.8k 1.5× 3.9k 1.8× 1.8k 1.1× 1.1k 0.7× 208 12.2k
Philippe Beutels Belgium 51 3.7k 0.7× 2.9k 1.1× 4.6k 2.1× 1.5k 0.9× 1.6k 1.0× 334 10.8k
Hongjie Yu China 55 5.2k 1.0× 5.7k 2.2× 4.7k 2.1× 2.0k 1.2× 2.0k 1.3× 436 16.3k
Jacco Wallinga Netherlands 48 6.0k 1.2× 3.6k 1.4× 4.8k 2.2× 1.5k 0.9× 1.1k 0.7× 209 11.0k
Steven Riley United Kingdom 55 6.2k 1.2× 4.5k 1.8× 5.1k 2.3× 1.9k 1.2× 798 0.5× 187 11.9k
Niel Hens Belgium 50 4.0k 0.8× 2.8k 1.1× 4.6k 2.1× 1.5k 0.9× 860 0.6× 382 11.0k

Countries citing papers authored by Stefano Merler

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Merler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Merler

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

All Works

20 of 20 papers shown
1.
Guzzetta, Giorgio, Valentina Marziano, Martina Del Manso, et al.. (2024). Increasing situational awareness through nowcasting of the reproduction number. Frontiers in Public Health. 12. 1430920–1430920.
2.
Guzzetta, Giorgio, Valentina Marziano, Alessia Mammone, et al.. (2024). The decline of the 2022 Italian mpox epidemic: Role of behavior changes and control strategies. Nature Communications. 15(1). 2283–2283. 14 indexed citations
3.
Liu, Quan-Hui, Peng Cheng, Maria Litvinova, et al.. (2022). Model-based evaluation of alternative reactive class closure strategies against COVID-19. Nature Communications. 13(1). 322–322. 29 indexed citations
4.
Manica, Mattia, Serena Pancheri, Piero Poletti, et al.. (2021). Risk of Symptomatic Infection During a Second Coronavirus Disease 2019 Wave in Severe Acute Respiratory Syndrome Coronavirus 2–Seropositive Individuals. Clinical Infectious Diseases. 74(5). 893–896. 5 indexed citations
5.
Marziano, Valentina, Giorgio Guzzetta, Alessia Mammone, et al.. (2021). The effect of COVID-19 vaccination in Italy and perspectives for living with the virus. Institutional Research Information System (University of Udine). 41 indexed citations
6.
Marziano, Valentina, Giorgio Guzzetta, Bruna Maria Rondinone, et al.. (2021). Retrospective analysis of the Italian exit strategy from COVID-19 lockdown. Proceedings of the National Academy of Sciences. 118(4). 62 indexed citations
7.
Manica, Mattia, Giorgio Guzzetta, Flavia Riccardo, et al.. (2021). Impact of tiered restrictions on human activities and the epidemiology of the second wave of COVID-19 in Italy. Nature Communications. 12(1). 4570–4570. 46 indexed citations
8.
Manica, Mattia, Giorgio Guzzetta, Flavia Riccardo, et al.. (2021). Effectiveness of regional restrictions in reducing SARS-CoV-2 transmission during the second wave of COVID-19, Italy. Publisher. 5 indexed citations
9.
Yang, Juan, Valentina Marziano, Xiaowei Deng, et al.. (2021). Despite vaccination, China needs non-pharmaceutical interventions to prevent widespread outbreaks of COVID-19 in 2021. Nature Human Behaviour. 5(8). 1009–1020. 65 indexed citations
10.
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 →
11.
Zhang, Juanjuan, Maria Litvinova, Yuxia Liang, et al.. (2020). Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China. Science. 368(6498). 1481–1486. 732 indexed citations breakdown →
12.
Liu, Quan-Hui, Ana I. Bento, Kexin Yang, et al.. (2020). The COVID-19 outbreak in Sichuan, China: Epidemiology and impact of interventions. PLoS Computational Biology. 16(12). e1008467–e1008467. 20 indexed citations
13.
Merler, Stefano, Marco Ajelli, Laura Fumanelli, et al.. (2016). Containing Ebola at the Source with Ring Vaccination. PLoS neglected tropical diseases. 10(11). e0005093–e0005093. 47 indexed citations
14.
Ajelli, Marco, Stefano Merler, Laura Fumanelli, Antonino Bella, & Caterina Rizzo. (2014). Estimating measles transmission potential in Italy over the period 2010-2011.. SHILAP Revista de lepidopterología. 50(4). 351–6. 2 indexed citations
15.
Poletti, Piero, Marco Ajelli, & Stefano Merler. (2012). Risk perception and effectiveness of uncoordinated behavioral responses in an emerging epidemic. Mathematical Biosciences. 238(2). 80–89. 103 indexed citations
16.
Ajelli, Marco & Stefano Merler. (2012). Transmission Potential and Design of Adequate Control Measures for Marburg Hemorrhagic Fever. PLoS ONE. 7(12). e50948–e50948. 26 indexed citations
17.
Poletti, Piero, Gianni Messeri, Marco Ajelli, et al.. (2011). Transmission Potential of Chikungunya Virus and Control Measures: The Case of Italy. PLoS ONE. 6(5). e18860–e18860. 125 indexed citations
18.
Poletti, Piero, Marco Ajelli, & Stefano Merler. (2011). The Effect of Risk Perception on the 2009 H1N1 Pandemic Influenza Dynamics. PLoS ONE. 6(2). e16460–e16460. 135 indexed citations
19.
Ajelli, Marco, Duygu Balcan, Vittoria Colizza, et al.. (2010). Comparing large-scale computational approaches to epidemic modeling: agent based versus structured metapopulation models. Bulletin of the American Physical Society. 2010. 2 indexed citations
20.
Ajelli, Marco & Stefano Merler. (2008). The Impact of the Unstructured Contacts Component in Influenza Pandemic Modeling. PLoS ONE. 3(1). e1519–e1519. 20 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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