Romain Ragonnet

1.1k total citations
38 papers, 634 citations indexed

About

Romain Ragonnet is a scholar working on Infectious Diseases, Epidemiology and Modeling and Simulation. According to data from OpenAlex, Romain Ragonnet has authored 38 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Infectious Diseases, 24 papers in Epidemiology and 12 papers in Modeling and Simulation. Recurrent topics in Romain Ragonnet's work include Tuberculosis Research and Epidemiology (22 papers), Pneumonia and Respiratory Infections (13 papers) and COVID-19 epidemiological studies (12 papers). Romain Ragonnet is often cited by papers focused on Tuberculosis Research and Epidemiology (22 papers), Pneumonia and Respiratory Infections (13 papers) and COVID-19 epidemiological studies (12 papers). Romain Ragonnet collaborates with scholars based in Australia, United States and Philippines. Romain Ragonnet's co-authors include James M. Trauer, Emma S. McBryde, Justin T. Denholm, Michael T. Meehan, Ben J. Marais, Tan Doan, Nick Scott, Archie C. A. Clements, Malancha Karmakar and Debebe Shaweno and has published in prestigious journals such as Nature Communications, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

Romain Ragonnet

35 papers receiving 623 citations

Peers

Romain Ragonnet

EPIDE

SURGE

Cari van Schalkwyk South Africa

Megan Coffee United States

Gregory J. Fox Australia

Borisov Se Russia

Martin van den Boom Italy

Zhiyi Lan Canada

Xiaoqiu Liu China

Bony Wiem Lestari Indonesia

Reza Yaesoubi United States

Wilson K.S. Yee China

Cari van Schalkwyk South Africa

Romain Ragonnet

818 ×1.8

328 ×1.0

EPIDE

93 ×0.7

SURGE

164 ×1.3

59 ×1.0

Citations per year, relative to Romain Ragonnet Romain Ragonnet (= 1×) peers Cari van Schalkwyk

Countries citing papers authored by Romain Ragonnet

Since Specialization

Citations

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

Fields of papers citing papers by Romain Ragonnet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Romain Ragonnet

This figure shows the co-authorship network connecting the top 25 collaborators of Romain Ragonnet. A scholar is included among the top collaborators of Romain Ragonnet 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 Romain Ragonnet. Romain Ragonnet 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

Ragonnet, Romain, Michael T. Meehan, Nouredine Melab, et al.. (2025). Estimating the impact of school closures on the COVID-19 dynamics in 74 countries: A modelling analysis. PLoS Medicine. 22(1). e1004512–e1004512.

Trauer, James M., et al.. (2024). A data science pipeline applied to Australia's 2022 COVID-19 Omicron waves. Infectious Disease Modelling. 10(1). 99–109.

Bui, Viet L., et al.. (2024). Agent-based modelling of Mycobacterium tuberculosis transmission: a systematic review. BMC Infectious Diseases. 24(1). 1394–1394. 1 indexed citations

Meehan, Michael T., et al.. (2023). Replicating superspreader dynamics with compartmental models. Scientific Reports. 13(1). 15319–15319. 3 indexed citations

Nguyen, Thu Anh, Jeremy Hill, Romain Ragonnet, et al.. (2023). Finding and treating both tuberculosis disease and latent infection during population-wide active case finding for tuberculosis elimination. Frontiers in Medicine. 10. 1275140–1275140. 8 indexed citations

Ragonnet, Romain, Angela Largen, Tom Jack, et al.. (2022). Estimating the long-term effects of mass screening for latent and active tuberculosis in the Marshall Islands. International Journal of Epidemiology. 51(5). 1433–1445. 13 indexed citations

Ragonnet, Romain, Kalaiarasu M. Peariasamy, Greg J. Fox, et al.. (2022). COVID-19 collaborative modelling for policy response in the Philippines, Malaysia and Vietnam. The Lancet Regional Health - Western Pacific. 29. 100563–100563. 3 indexed citations

Caldwell, Jamie M., Raymond Francis Sarmiento, Richard T. Gray, et al.. (2021). Understanding COVID-19 dynamics and the effects of interventions in the Philippines: A mathematical modelling study. The Lancet Regional Health - Western Pacific. 14. 100211–100211. 20 indexed citations

Trauer, James M., David Pilcher, Michael T. Meehan, et al.. (2021). Understanding how Victoria, Australia gained control of its second COVID-19 wave. Nature Communications. 12(1). 6266–6266. 19 indexed citations

10.

Caldwell, Jamie M., Xuan Le, Michael T. Meehan, et al.. (2021). Vaccines and variants: Modelling insights into emerging issues in COVID-19 epidemiology. Paediatric Respiratory Reviews. 39. 32–39. 24 indexed citations

11.

Peariasamy, Kalaiarasu M., Linh‐Vi Le, Xuan Le, et al.. (2021). Sustaining effective COVID-19 control in Malaysia through large-scale vaccination. Epidemics. 37. 100517–100517. 9 indexed citations

12.

Estill, Janne, Tauhid Islam, Rein M G J Houben, et al.. (2021). Tuberculosis in the Western Pacific Region: Estimating the burden of disease and return on investment 2020–2030 in four countries. The Lancet Regional Health - Western Pacific. 11. 100147–100147. 8 indexed citations

13.

Trauer, James M., et al.. (2021). Timing of Mycobacterium tuberculosis exposure explains variation in BCG effectiveness: a systematic review and meta-analysis. Thorax. 76(11). 1131–1141. 8 indexed citations

14.

Ragonnet, Romain, Jennifer A. Flegg, Samuel L. Brilleman, et al.. (2020). Revisiting the Natural History of Pulmonary Tuberculosis: A Bayesian Estimation of Natural Recovery and Mortality Rates. Clinical Infectious Diseases. 73(1). e88–e96. 21 indexed citations

15.

Melsew, Yayehirad Alemu, Adeshina I. Adekunle, Allen Cheng, et al.. (2019). Heterogeneous infectiousness in mathematical models of tuberculosis: A systematic review. Epidemics. 30. 100374–100374. 9 indexed citations

16.

Ragonnet, Romain, James M. Trauer, Nicholas Geard, Nick Scott, & Emma S. McBryde. (2019). Profiling Mycobacterium tuberculosis transmission and the resulting disease burden in the five highest tuberculosis burden countries. BMC Medicine. 17(1). 208–208. 25 indexed citations

17.

Doan, Tan, et al.. (2019). Strategic investment in tuberculosis control in the Republic of Bulgaria. Epidemiology and Infection. 147. e304–e304. 6 indexed citations

18.

Shaweno, Debebe, Malancha Karmakar, Kefyalew Addis Alene, et al.. (2018). Methods used in the spatial analysis of tuberculosis epidemiology: a systematic review. BMC Medicine. 16(1). 193–193. 85 indexed citations

19.

Trauer, James M., Romain Ragonnet, Tan Doan, & Emma S. McBryde. (2017). Modular programming for tuberculosis control, the “AuTuMN” platform. BMC Infectious Diseases. 17(1). 546–546. 16 indexed citations

20.

Ragonnet, Romain, James M. Trauer, Nick Scott, et al.. (2017). Optimally capturing latency dynamics in models of tuberculosis transmission. Epidemics. 21. 39–47. 29 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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