Carl Koppeschaar

783 total citations
11 papers, 481 citations indexed

About

Carl Koppeschaar is a scholar working on Epidemiology, Modeling and Simulation and Health. According to data from OpenAlex, Carl Koppeschaar has authored 11 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 4 papers in Modeling and Simulation and 2 papers in Health. Recurrent topics in Carl Koppeschaar's work include Influenza Virus Research Studies (8 papers), Data-Driven Disease Surveillance (8 papers) and Respiratory viral infections research (4 papers). Carl Koppeschaar is often cited by papers focused on Influenza Virus Research Studies (8 papers), Data-Driven Disease Surveillance (8 papers) and Respiratory viral infections research (4 papers). Carl Koppeschaar collaborates with scholars based in Portugal, United States and Italy. Carl Koppeschaar's co-authors include Sander P. van Noort, M. Gabriela M. Gomes, Ronald Smallenburg, Daniela Paolotti, Vittoria Colizza, Moa Rehn, Ken Eames, AnnaSara Carnahan, Alessandro Vespignani and Clément Turbelin and has published in prestigious journals such as PLoS ONE, BMC Public Health and PLoS Computational Biology.

In The Last Decade

Carl Koppeschaar

11 papers receiving 460 citations

Peers

Carl Koppeschaar
André T. Nguyen United States
Fred Lu United States
Allyson M Abrams United States
Inga Holmdahl United States
Lee Kennedy‐Shaffer United States
André T. Nguyen United States
Carl Koppeschaar
Citations per year, relative to Carl Koppeschaar Carl Koppeschaar (= 1×) peers André T. Nguyen

Countries citing papers authored by Carl Koppeschaar

Since Specialization
Citations

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

Fields of papers citing papers by Carl Koppeschaar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carl Koppeschaar

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

All Works

11 of 11 papers shown
1.
Kalimeri, Kyriaki, Ciro Cattuto, Daniela Perrotta, et al.. (2019). Unsupervised extraction of epidemic syndromes from participatory influenza surveillance self-reported symptoms. PLoS Computational Biology. 15(4). e1006173–e1006173. 25 indexed citations
2.
Teirlinck, Anne, Brechje de Gier, Adam Meijer, et al.. (2018). The incidence of symptomatic infection with influenza virus in the Netherlands 2011/2012 through 2016/2017, estimated using Bayesian evidence synthesis. Epidemiology and Infection. 147. e30–e30. 9 indexed citations
3.
Kemmeren, Jeanet M., Frederika Dijkstra, Nicoline van der Maas, et al.. (2016). Comparison of different collection methods for reported adverse events following pandemic and seasonal influenza vaccination. Vaccine. 34(34). 3961–3966. 2 indexed citations
4.
Noort, Sander P. van, Cláudia Torres Codeço, Carl Koppeschaar, et al.. (2015). Ten-year performance of Influenzanet: ILI time series, risks, vaccine effects, and care-seeking behaviour. Epidemics. 13. 28–36. 49 indexed citations
5.
Stein, Mart L., P.G.M. van der Heijden, Vincent Buskens, et al.. (2015). Tracking social contact networks with online respondent-driven detection: who recruits whom?. BMC Infectious Diseases. 15(1). 522–522. 11 indexed citations
6.
Bajardi, Paolo, Daniela Paolotti, Alessandro Vespignani, et al.. (2014). Association between Recruitment Methods and Attrition in Internet-Based Studies. PLoS ONE. 9(12). e114925–e114925. 34 indexed citations
7.
Bajardi, Paolo, Alessandro Vespignani, Sebastian Funk, et al.. (2014). Determinants of Follow-Up Participation in the Internet-Based European Influenza Surveillance Platform Influenzanet. Journal of Medical Internet Research. 16(3). e78–e78. 32 indexed citations
8.
Paolotti, Daniela, AnnaSara Carnahan, Vittoria Colizza, et al.. (2013). Web-based participatory surveillance of infectious diseases: the Influenzanet participatory surveillance experience. Clinical Microbiology and Infection. 20(1). 17–21. 120 indexed citations
9.
Friesema, Ingrid, Carl Koppeschaar, Gé Donker, et al.. (2009). Internet-based monitoring of influenza-like illness in the general population: Experience of five influenza seasons in the Netherlands. Vaccine. 27(45). 6353–6357. 72 indexed citations
10.
Noort, Sander P. van, et al.. (2007). Gripenet: an internet-based system to monitor influenza-like illness uniformly across Europe. Eurosurveillance. 12(7). 5–6. 65 indexed citations
11.
Marquet, Richard L., A.I.M. Bartelds, Sander P. van Noort, et al.. (2006). Internet-based monitoring of influenza-like illness (ILI) in the general population of the Netherlands during the 2003–2004 influenza season. BMC Public Health. 6(1). 242–242. 62 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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2026