William Wheaton
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Data-Driven Disease Surveillance 2
- Influenza Virus Research Studies 1
-
- COVID-19 epidemiological studies 3
- Co-authors
- Philip C. Cooley (3 shared papers)James Cajka (4 shared papers)L. Ganapathi (3 shared papers)Leah E. Roberts (1 shared paper)Neil Boothby (1 shared paper)Alastair Ager (1 shared paper)Lindsay Stark (1 shared paper)Diane K. Wagener (2 shared papers)
- Journals
- Infection Control and Hospital Epidemiology (1 paper)Journal of Epidemiology & Community Health (1 paper)Mathematical and Computer Modelling (1 paper)PubMed (4 papers)
- Partner nations
- United StatesUnited KingdomNorway
In The Last Decade
William Wheaton
8 papers receiving 292 citations
Peers
Comparison fields: 5 of 75
- Modeling and Simulation 64
- Applied Microbiology and Biotechnology 12
- Health 45
- Transportation 39
- Management Science and Operations Research 40
Countries citing papers authored by William Wheaton
This map shows the geographic impact of William Wheaton'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 William Wheaton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Wheaton more than expected).
Fields of papers citing papers by William Wheaton
This network shows the impact of papers produced by William Wheaton. 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 William Wheaton. The network helps show where William Wheaton may publish in the future.
Co-authors
The 25 scholars most cited alongside William Wheaton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 93 | |
| 2 | 2009 | 81 | |
| 3 | 2010 | 60 | |
| 4 | 2010 | 28 | |
| 5 | 2007 | 26 | |
| 6 | 2012 | 9 | |
| 7 | 2009 | 3 | |
| 8 | 2010 | 1 | |
| 9 | A Nationwide geo-referenced synthesized agent database for infectious disease models | 2007 | 0 |
About William Wheaton
William Wheaton is a scholar working on Epidemiology, Modeling and Simulation, Sociology and Political Science, Public Health, Environmental and Occupational Health and Small Animals, having authored 9 papers that have together received 301 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), Data-Driven Disease Surveillance (2 papers), Urban, Neighborhood, and Segregation Studies (2 papers), Geotechnical Engineering and Analysis (1 paper), demographic modeling and climate adaptation (1 paper), Zoonotic diseases and public health (1 paper), Influenza Virus Research Studies (1 paper) and Insurance, Mortality, Demography, Risk Management (1 paper). The work is most often cited by research in Modeling and Simulation (64 citations), Applied Microbiology and Biotechnology (12 citations), Health (45 citations), Transportation (39 citations) and Management Science and Operations Research (40 citations). William Wheaton has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Philip C. Cooley, James Cajka, L. Ganapathi, Leah E. Roberts, Neil Boothby, Alastair Ager, Lindsay Stark, Diane K. Wagener, Justine Allpress and Scott D. Holmberg. Their work appears in journals such as Infection Control and Hospital Epidemiology, Journal of Epidemiology & Community Health, Mathematical and Computer Modelling and PubMed.
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.