William Waites
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
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- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Outbreaks Research
Papers in
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- COVID-19 epidemiological studies 10
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- SARS-CoV-2 and COVID-19 Research 4
- Co-authors
- Jasmina Panovska‐Griffiths (10 shared papers)David Manheim (4 shared papers)Tim Colbourn (1 shared paper)Simone Sturniolo (1 shared paper)Matteo Cavaliere (7 shared papers)Robyn M. Stuart (3 shared papers)Cliff C. Kerr (3 shared papers)Hieu T. Hoang (1 shared paper)
- Journals
- Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (4 papers)Scientific Reports (3 papers)Journal of Theoretical Biology (1 paper)Journal of Cheminformatics (1 paper)The Lancet Regional Health - Europe (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
William Waites
23 papers receiving 258 citations
Peers
Comparison fields: 5 of 82
- Modeling and Simulation 97
- Infectious Diseases 59
- Health 26
- Artificial Intelligence 80
- Aging 2
Countries citing papers authored by William Waites
This map shows the geographic impact of William Waites'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 Waites with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Waites more than expected).
Fields of papers citing papers by William Waites
This network shows the impact of papers produced by William Waites. 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 Waites. The network helps show where William Waites may publish in the future.
Co-authors
The 25 scholars most cited alongside William Waites, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 70 | |
| 2 | 2021 | 34 | |
| 3 | 2021 | 21 | |
| 4 | 1984 | 20 | |
| 5 | 2022 | 19 | |
| 6 | 2021 | 18 | |
| 7 | 2022 | 11 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2021 | 9 | |
| 11 | 2022 | 7 | |
| 12 | 2015 | 7 | |
| 13 | 2011 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2020 | 5 | |
| 16 | 2019 | 5 | |
| 17 | Library Linked Data Incubator Group Final Report: W3C Incubator Group Report 25 October 2011 | 2011 | 4 |
| 18 | 2018 | 4 | |
| 19 | 2021 | 3 | |
| 20 | 2022 | 2 |
About William Waites
William Waites is a scholar working on Modeling and Simulation, Infectious Diseases, Molecular Biology, Organic Chemistry and Clinical Psychology, having authored 24 papers that have together received 273 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (10 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Cell Image Analysis Techniques (2 papers), Scientific Computing and Data Management (2 papers), Data-Driven Disease Surveillance (2 papers), Evolution and Genetic Dynamics (2 papers), T-cell and Retrovirus Studies (2 papers) and COVID-19 and healthcare impacts (2 papers). The work is most often cited by research in Modeling and Simulation (97 citations), Infectious Diseases (59 citations), Health (26 citations), Artificial Intelligence (80 citations) and Aging (2 citations). William Waites has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Jasmina Panovska‐Griffiths, David Manheim, Tim Colbourn, Simone Sturniolo, Matteo Cavaliere, Robyn M. Stuart, Cliff C. Kerr, Hieu T. Hoang, Brian J. Thompson and Mikel L. Forcada. Their work appears in journals such as Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Scientific Reports, Journal of Theoretical Biology, Journal of Cheminformatics and The Lancet Regional Health - Europe.
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.