Philip C. Cooley
- Modeling and Simulation top 0.05%
- Epidemiology top 1%
- Infectious Diseases top 2%
- General Health Professions top 2%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Donald S. BurkeJames CajkaNeil M. FergusonChristophe FraserDerek A. T. CummingsCharles F. TurnerDiane K. WagenerWilliam D. Wheaton
- Topics
- Influenza Virus Research Studies (15 papers)COVID-19 epidemiological studies (15 papers)HIV/AIDS Research and Interventions (6 papers)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Philip C. Cooley
40 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Modeling and Simulation 2.0k
- Epidemiology 1.7k
- Infectious Diseases 928
- General Health Professions 478
- Public Health, Environmental and Occupational Health 451
Countries citing papers authored by Philip C. Cooley
This map shows the geographic impact of Philip C. Cooley'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 Philip C. Cooley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip C. Cooley more than expected).
Fields of papers citing papers by Philip C. Cooley
This network shows the impact of papers produced by Philip C. Cooley. 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 Philip C. Cooley. The network helps show where Philip C. Cooley may publish in the future.
Co-authorship network of co-authors of Philip C. Cooley
This figure shows the co-authorship network connecting the top 25 collaborators of Philip C. Cooley. A scholar is included among the top collaborators of Philip C. Cooley 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 Philip C. Cooley. Philip C. Cooley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 0 | |
| 3 | Agent-Based Model (ABM) Validation Considerations | 12 |
| 4 | 91 | |
| 5 | 89 | |
| 6 | 136 | |
| 7 | 35 | |
| 8 | 54 | |
| 9 | 105 | |
| 10 | 1 | |
| 11 | 79 | |
| 12 | Strategies for mitigating an influenza pandemicbreakdown → | 1578 |
| 13 | 9 | |
| 14 | 6 | |
| 15 | 2 | |
| 16 | 38 | |
| 17 | 8 | |
| 18 | 3 | |
| 19 | 2 | |
| 20 | The performance of an integer programming algorithm with text examples | 1 |
About Philip C. Cooley
Philip C. Cooley is a scholar working on Modeling and Simulation, Virology and Infectious Diseases, having authored 42 papers that have together received 3.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (15 papers), COVID-19 epidemiological studies (15 papers) and HIV/AIDS Research and Interventions (6 papers). The work is most often cited by research in Modeling and Simulation (2.0k citations), Epidemiology (1.7k citations) and Infectious Diseases (928 citations). Philip C. Cooley has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Donald S. Burke, James Cajka, Neil M. Ferguson, Christophe Fraser, Derek A. T. Cummings, Charles F. Turner, Diane K. Wagener, William D. Wheaton, Bruce Y. Lee and Shawn T. Brown. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and American Journal of Epidemiology.
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.