Ken T. D. Eames
Impact in
- Modeling and Simulation top 0.05%
- COVID-19 epidemiological studies
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
-
- COVID-19 epidemiological studies 28
- Epidemiology 21
- Influenza Virus Research Studies 11
- Data-Driven Disease Surveillance 10
- Respiratory viral infections research 4
- Co-authors
- Matt J. Keeling (8 shared papers)P E Fine (1 shared paper)DL Heymann (1 shared paper)W. John Edmunds (17 shared papers)Jonathan Michael Read (6 shared papers)Natasha L. Tilston‐Lunel (4 shared papers)Ellen Brooks‐Pollock (3 shared papers)Shweta Bansal (3 shared papers)
- Journals
- Epidemics (8 papers)PLoS ONE (5 papers)BMC Infectious Diseases (3 papers)Epidemiology and Infection (3 papers)Proceedings of the Royal Society B Biological Sciences (3 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Ken T. D. Eames
49 papers receiving 5.4k citations
Ken T. D. Eames's Hit Papers
Peers
Comparison fields: 5 of 173
- Modeling and Simulation 2.4k
- Statistical and Nonlinear Physics 1.3k
- Health 515
- Infectious Diseases 870
- Public Health, Environmental and Occupational Health 1.2k
Countries citing papers authored by Ken T. D. Eames
This map shows the geographic impact of Ken T. D. 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 T. D. 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 T. D. Eames more than expected).
Fields of papers citing papers by Ken T. D. Eames
This network shows the impact of papers produced by Ken T. D. 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 T. D. Eames. The network helps show where Ken T. D. Eames may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken T. D. Eames, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Networks and epidemic models Hit paper breakdown → | 2005 | 1328 |
| 2 | "Herd Immunity": A Rough Guide Hit paper breakdown → | 2011 | 882 |
| 3 | Modeling infectious disease dynamics in the complex landscape of global health Hit paper breakdown → | 2015 | 491 |
| 4 | 2002 | 358 | |
| 5 | 2003 | 291 | |
| 6 | 2008 | 261 | |
| 7 | 2014 | 173 | |
| 8 | 2012 | 152 | |
| 9 | 2013 | 139 | |
| 10 | 2014 | 137 | |
| 11 | 2014 | 121 | |
| 12 | 2007 | 90 | |
| 13 | 2011 | 86 | |
| 14 | 2013 | 83 | |
| 15 | 2015 | 76 | |
| 16 | 2004 | 74 | |
| 17 | 2010 | 67 | |
| 18 | 2014 | 66 | |
| 19 | 2011 | 63 | |
| 20 | 2014 | 60 |
About Ken T. D. Eames
Ken T. D. Eames is a scholar working on Modeling and Simulation, Epidemiology, Statistical and Nonlinear Physics, Health and Public Health, Environmental and Occupational Health, having authored 49 papers that have together received 5.6k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (28 papers), Influenza Virus Research Studies (11 papers), Data-Driven Disease Surveillance (10 papers), Complex Network Analysis Techniques (10 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), Respiratory viral infections research (4 papers), Opinion Dynamics and Social Influence (3 papers) and Evolution and Genetic Dynamics (3 papers). The work is most often cited by research in Modeling and Simulation (2.4k citations), Statistical and Nonlinear Physics (1.3k citations), Health (515 citations), Infectious Diseases (870 citations) and Public Health, Environmental and Occupational Health (1.2k citations). Ken T. D. Eames has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Matt J. Keeling, P E Fine, DL Heymann, W. John Edmunds, Jonathan Michael Read, Natasha L. Tilston‐Lunel, Ellen Brooks‐Pollock, Shweta Bansal, Dominic Thorrington and Pieter Trapman. Their work appears in journals such as Epidemics, PLoS ONE, BMC Infectious Diseases, Epidemiology and Infection and Proceedings of the Royal Society B Biological Sciences.
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.