Ken Eames

7.9k total citations · 2 hit papers
44 papers, 4.6k citations indexed

About

Ken Eames is a scholar working on Modeling and Simulation, Epidemiology and Statistical and Nonlinear Physics. According to data from OpenAlex, Ken Eames has authored 44 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Modeling and Simulation, 25 papers in Epidemiology and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Ken Eames's work include COVID-19 epidemiological studies (29 papers), Influenza Virus Research Studies (17 papers) and Data-Driven Disease Surveillance (10 papers). Ken Eames is often cited by papers focused on COVID-19 epidemiological studies (29 papers), Influenza Virus Research Studies (17 papers) and Data-Driven Disease Surveillance (10 papers). Ken Eames collaborates with scholars based in United Kingdom, United States and Italy. Ken Eames's co-authors include Matt J. Keeling, DL Heymann, P E Fine, W. John Edmunds, Jonathan M. Read, Natasha L. Tilston‐Lunel, Ellen Brooks‐Pollock, Shweta Bansal, Dominic Thorrington and Sebastian Funk and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and PLoS ONE.

In The Last Decade

Ken Eames

43 papers receiving 4.4k citations

Hit Papers

Networks and epidemic models 2005 2026 2012 2019 2005 2011 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Eames United Kingdom 28 2.2k 1.4k 1.2k 997 824 44 4.6k
Sebastian Funk United Kingdom 35 2.9k 1.3× 1.2k 0.9× 981 0.9× 1.6k 1.6× 1.6k 2.0× 117 5.3k
Marcel Salathé Switzerland 33 1.7k 0.8× 1.2k 0.9× 984 0.9× 920 0.9× 385 0.5× 85 7.8k
Shweta Bansal United States 30 1.5k 0.7× 763 0.6× 570 0.5× 942 0.9× 733 0.9× 118 3.9k
Chris T. Bauch Canada 44 3.1k 1.4× 1.8k 1.3× 1.1k 0.9× 1.8k 1.8× 1.0k 1.2× 169 7.1k
David J. D. Earn Canada 40 3.4k 1.6× 2.0k 1.5× 483 0.4× 2.2k 2.2× 1.4k 1.7× 104 7.7k
Lin Wang China 39 2.0k 0.9× 888 0.7× 1.5k 1.3× 1.0k 1.0× 1.5k 1.8× 238 6.5k
Lauren Ancel Meyers United States 48 3.8k 1.8× 1.8k 1.4× 1.3k 1.1× 1.5k 1.6× 2.1k 2.6× 162 9.7k
Jonathan M. Read United Kingdom 28 1.5k 0.7× 1.1k 0.8× 336 0.3× 485 0.5× 1.2k 1.5× 93 3.4k
Thomas House United Kingdom 30 1.3k 0.6× 625 0.5× 534 0.5× 522 0.5× 980 1.2× 98 2.9k
Erik Volz United States 31 834 0.4× 1.1k 0.8× 832 0.7× 745 0.7× 1.3k 1.6× 71 3.8k

Countries citing papers authored by Ken Eames

Since Specialization
Citations

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

Fields of papers citing papers by Ken Eames

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Eames

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Eames. A scholar is included among the top collaborators of Ken Eames 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 Ken Eames. Ken Eames 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.
Eames, Ken, Maria Tang, Edward M. Hill, et al.. (2022). Coughs, colds and “freshers’ flu” survey in the University of Cambridge, 2007–2008. Epidemics. 42. 100659–100659. 1 indexed citations
2.
Kucharski, Adam J., et al.. (2018). Structure and consistency of self-reported social contact networks in British secondary schools. PLoS ONE. 13(7). e0200090–e0200090. 7 indexed citations
3.
Thorrington, Dominic, Mark Jit, & Ken Eames. (2015). Targeted vaccination in healthy school children – Can primary school vaccination alone control influenza?. Vaccine. 33(41). 5415–5424. 11 indexed citations
4.
Kucharski, Adam J., Andrew J. K. Conlan, & Ken Eames. (2015). School’s Out: Seasonal Variation in the Movement Patterns of School Children. PLoS ONE. 10(6). e0128070–e0128070. 12 indexed citations
5.
Thorrington, Dominic, Mary Ramsay, Albert Jan van Hoek, et al.. (2014). The Effect of Measles on Health-Related Quality of Life: A Patient-Based Survey. PLoS ONE. 9(9). e105153–e105153. 22 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.
Adler, Alma J, Ken Eames, Sebastian Funk, & W. John Edmunds. (2014). Incidence and risk factors for influenza-like-illness in the UK: online surveillance using Flusurvey. BMC Infectious Diseases. 14(1). 232–232. 56 indexed citations
8.
Riley, Steven, Ken Eames, Valerie Isham, Denis Mollison, & Pieter Trapman. (2014). Five challenges for spatial epidemic models. Epidemics. 10. 68–71. 113 indexed citations
9.
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
10.
House, Thomas, Marc Baguelin, Albert Jan van Hoek, et al.. (2011). Modelling the impact of local reactive school closures on critical care provision during an influenza pandemic. Proceedings of the Royal Society B Biological Sciences. 278(1719). 2753–2760. 47 indexed citations
11.
Drewe, Julian Ashley, Ken Eames, Joah R. Madden, & GR Pearce. (2011). Integrating contact network structure into tuberculosis epidemiology in meerkats in South Africa: Implications for control. Preventive Veterinary Medicine. 101(1-2). 113–120. 42 indexed citations
12.
Brooks‐Pollock, Ellen, Natasha L. Tilston‐Lunel, W. John Edmunds, & Ken Eames. (2011). Using an online survey of healthcare-seeking behaviour to estimate the magnitude and severity of the 2009 H1N1v influenza epidemic in England. BMC Infectious Diseases. 11(1). 68–68. 76 indexed citations
13.
Fine, P E, Ken Eames, & DL Heymann. (2011). "Herd Immunity": A Rough Guide. Clinical Infectious Diseases. 52(7). 911–916. 804 indexed citations breakdown →
14.
Eames, Ken, Ellen Brooks‐Pollock, Daniela Paolotti, et al.. (2011). Rapid assessment of influenza vaccine effectiveness: analysis of an internet-based cohort. Epidemiology and Infection. 140(7). 1309–1315. 26 indexed citations
15.
Tilston‐Lunel, Natasha L., et al.. (2010). Internet-based surveillance of Influenza-like-illness in the UK during the 2009 H1N1 influenza pandemic. BMC Public Health. 10(1). 650–650. 60 indexed citations
16.
Eames, Ken, et al.. (2010). Assessing the role of contact tracing in a suspected H7N2 influenza A outbreak in humans in Wales. BMC Infectious Diseases. 10(1). 141–141. 34 indexed citations
17.
Eames, Ken, Jonathan M. Read, & W. John Edmunds. (2008). Epidemic prediction and control in weighted networks. Epidemics. 1(1). 70–76. 51 indexed citations
18.
Eames, Ken. (2006). Contact tracing strategies in heterogeneous populations. Epidemiology and Infection. 135(3). 443–454. 33 indexed citations
19.
Eames, Ken & Matt J. Keeling. (2006). Coexistence and Specialization of Pathogen Strains on Contact Networks. The American Naturalist. 168(2). 230–241. 15 indexed citations
20.
Keeling, Matt J. & Ken Eames. (2005). Networks and epidemic models. Journal of The Royal Society Interface. 2(4). 295–307. 1215 indexed citations breakdown →

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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