Jacco Wallinga

20.9k total citations · 5 hit papers
209 papers, 11.0k citations indexed

About

Jacco Wallinga is a scholar working on Epidemiology, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Jacco Wallinga has authored 209 papers receiving a total of 11.0k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Epidemiology, 98 papers in Modeling and Simulation and 61 papers in Infectious Diseases. Recurrent topics in Jacco Wallinga's work include COVID-19 epidemiological studies (98 papers), Influenza Virus Research Studies (79 papers) and Vaccine Coverage and Hesitancy (38 papers). Jacco Wallinga is often cited by papers focused on COVID-19 epidemiological studies (98 papers), Influenza Virus Research Studies (79 papers) and Vaccine Coverage and Hesitancy (38 papers). Jacco Wallinga collaborates with scholars based in Netherlands, United States and United Kingdom. Jacco Wallinga's co-authors include Marc Lipsitch, Jantien A. Backer, Don Klinkenberg, Mirjam Kretzschmar, Peter Teunis, Niel Hens, W. John Edmunds, Janneke C. M. Heijne, Joël Mossong and Gianpaolo Scalia Tomba and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Jacco Wallinga

201 papers receiving 10.8k citations

Hit Papers

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What are hit papers?

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.

Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases

2008 1.9k citations Niel Hens, Philippe Beutels et al. profile →
Incubation period of 2019 novel coronavirus (2019-nCoV) infections among travellers from Wuhan, China, 20–28 January 2020

2020 992 citations Jantien A. Backer, Don Klinkenberg et al. Eurosurveillance profile →
How generation intervals shape the relationship between growth rates and reproductive numbers

2006 813 citations Jacco Wallinga, Marc Lipsitch Proceedings of the Royal Society B Biological Sciences profile →
Different Epidemic Curves for Severe Acute Respiratory Syndrome Reveal Similar Impacts of Control Measures

2004 802 citations Jacco Wallinga profile →
Estimated incubation period for monkeypox cases confirmed in the Netherlands, May 2022

2022 142 citations Fuminari Miura, Jantien A. Backer et al. Eurosurveillance profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jacco Wallinga	6.0k	4.8k	3.6k	1.5k	1.2k	209	11.0k
M. Elizabeth Halloran	6.5k 1.1×	4.6k 1.0×	4.4k 1.2×	2.5k 1.7×	1.4k 1.1×	161	13.0k
W. John Edmunds	5.5k 0.9×	6.8k 1.4×	4.6k 1.3×	2.0k 1.4×	1.9k 1.5×	226	14.7k
Niel Hens	4.0k 0.7×	4.6k 1.0×	2.8k 0.8×	1.5k 1.0×	1.4k 1.1×	382	11.0k
Steven Riley	6.2k 1.0×	5.1k 1.1×	4.5k 1.2×	1.9k 1.3×	535 0.4×	187	11.9k
Joseph T. Wu	4.9k 0.8×	3.0k 0.6×	4.9k 1.3×	920 0.6×	799 0.6×	153	11.1k
Hiroshi Nishiura	4.9k 0.8×	3.2k 0.7×	4.2k 1.1×	1.8k 1.3×	445 0.4×	350	10.3k
Pierre‐Yves Boëlle	4.1k 0.7×	4.4k 0.9×	3.1k 0.8×	1.4k 1.0×	579 0.5×	302	12.7k
Alison P. Galvani	4.9k 0.8×	4.4k 0.9×	5.4k 1.5×	2.9k 2.0×	1.7k 1.3×	284	14.0k
Simon Cauchemez	8.1k 1.3×	6.7k 1.4×	6.4k 1.7×	3.2k 2.2×	1.1k 0.9×	217	15.7k
Philippe Beutels	3.7k 0.6×	4.6k 1.0×	2.9k 0.8×	1.5k 1.0×	1.8k 1.5×	334	10.8k

Countries citing papers authored by Jacco Wallinga

Since Specialization

Citations

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

Fields of papers citing papers by Jacco Wallinga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacco Wallinga

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

All Works

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20 of 20 papers shown

Jia, Katherine Min, Christopher Boyer, Jacco Wallinga, & Marc Lipsitch. (2025). Causal Estimands for Analyses of Averted and Avertible Outcomes due to Infectious Disease Interventions. Epidemiology. 36(3). 363–373.

Ainslie, Kylie E. C., Mariëtte Hooiveld, & Jacco Wallinga. (2025). Estimation of the epidemiological characteristics of scabies. Nature Communications. 16(1). 10524–10524.

Wallinga, Jacco, et al.. (2025). Chrono-optimizing vaccine administration: a systematic review and meta-analysis. Frontiers in Public Health. 13. 1516523–1516523. 2 indexed citations

Iwamoto, Ryo, et al.. (2024). Wastewater-based reproduction numbers and projections of COVID-19 cases in three areas in Japan, November 2021 to December 2022. Eurosurveillance. 29(8). 6 indexed citations

McDonald, Scott, et al.. (2023). Regional differences in historical diphtheria and scarlet fever notification rates in The Netherlands, 1905–1925: a spatial-temporal analysis. Royal Society Open Science. 10(11). 230966–230966. 1 indexed citations

Park, Sang Woo, Kaiyuan Sun, Sam Abbott, et al.. (2023). Inferring the differences in incubation-period and generation-interval distributions of the Delta and Omicron variants of SARS-CoV-2. Proceedings of the National Academy of Sciences. 120(22). e2221887120–e2221887120. 22 indexed citations

Miura, Fuminari, Don Klinkenberg, & Jacco Wallinga. (2023). Quantifying the Individual Variation in Susceptibility to Endemic Coronavirus and SARS-CoV-2 with Human Challenge Trials. Epidemiology. 35(1). 113–117.

Chen, Dongxuan, Yiu Chung Lau, Xiao-Ke Xu, et al.. (2022). Inferring time-varying generation time, serial interval, and incubation period distributions for COVID-19. Nature Communications. 13(1). 7727–7727. 22 indexed citations

Ainslie, Kylie E. C., Jantien A. Backer, Pieter T. de Boer, et al.. (2022). A scenario modelling analysis to anticipate the impact of COVID-19 vaccination in adolescents and children on disease outcomes in the Netherlands, summer 2021. Eurosurveillance. 27(44). 8 indexed citations

10.

Miura, Fuminari, et al.. (2021). Optimal vaccine allocation for COVID-19 in the Netherlands: A data-driven prioritization. PLoS Computational Biology. 17(12). e1009697–e1009697. 18 indexed citations

11.

Verelst, Frederik, Sarah Vercruysse, Amy Gimma, et al.. (2021). SOCRATES-CoMix: a platform for timely and open-source contact mixing data during and in between COVID-19 surges and interventions in over 20 European countries. BMC Medicine. 19(1). 254–254. 43 indexed citations

12.

Tindale, Lauren C., Jessica E. Stockdale, Michelle Coombe, et al.. (2020). Evidence for transmission of COVID-19 prior to symptom onset. eLife. 9. 191 indexed citations

13.

Hoang, Thang Van, Pietro Coletti, Alessia Melegaro, et al.. (2019). A Systematic Review of Social Contact Surveys to Inform Transmission Models of Close-contact Infections. Epidemiology. 30(5). 723–736. 123 indexed citations

14.

Klinkenberg, Don, Jantien A. Backer, Xavier Didelot, Caroline Colijn, & Jacco Wallinga. (2017). Simultaneous inference of phylogenetic and transmission trees in infectious disease outbreaks. PLoS Computational Biology. 13(5). e1005495–e1005495. 76 indexed citations

15.

Jaarsveld, Willem van, et al.. (2016). The most efficient critical vaccination coverage and its equivalence with maximizing the herd effect. Data Archiving and Networked Services (DANS). 17 indexed citations

16.

Dool, Carline van den, Anja Haenen, Tjalling Leenstra, & Jacco Wallinga. (2016). The Role of Nursing Homes in the Spread of Antimicrobial Resistance Over the Healthcare Network. Infection Control and Hospital Epidemiology. 37(7). 761–767. 44 indexed citations

17.

Boven, Michiel van, Mirjam Kretzschmar, Jacco Wallinga, et al.. (2010). Estimation of measles vaccine efficacy and critical vaccination coverage in a highly vaccinated population. Journal of The Royal Society Interface. 7(52). 1537–1544. 58 indexed citations

18.

Wallinga, Jacco & Marc Lipsitch. (2006). How generation intervals shape the relationship between growth rates and reproductive numbers. Proceedings of the Royal Society B Biological Sciences. 274(1609). 599–604. 813 indexed citations breakdown →

19.

Wallinga, Jacco, et al.. (1999). Sampling inwaterlogged sands with a simple hand-operated corer. Ancient TL. 17(2). 59–61. 6 indexed citations

20.

Lotz, L.A.P., Jacco Wallinga, & M.J. Kropff. (1995). Crop-weed interactions: quantification and prediction.. Socio-Environmental Systems Modeling. 9 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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