Cameron J. Browne
- Public Health, Environmental and Occupational Health top 10%
- Modeling and Simulation top 2%
- Genetics
- Infectious Diseases
- Endocrinology
- Co-authors
- Sergei S. PilyuginGlenn F. WebbLydia BourouibaRobert J. SmithHal L. SmithTaj AzarianMarco SalemiJ. Glenn Morris
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (13 papers)COVID-19 epidemiological studies (9 papers)Evolution and Genetic Dynamics (8 papers)
- Journals
- Proceedings of the National Academy of SciencesFrontiers in ImmunologyJournal of Theoretical Biology
- Partner nations
- United StatesIranUnited Kingdom
In The Last Decade
Cameron J. Browne
19 papers receiving 235 citations
Peers
Comparison fields: 5 of 59
- Public Health, Environmental and Occupational Health 151
- Modeling and Simulation 130
- Genetics 107
- Infectious Diseases 53
- Endocrinology 30
Countries citing papers authored by Cameron J. Browne
This map shows the geographic impact of Cameron J. Browne'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 Cameron J. Browne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cameron J. Browne more than expected).
Fields of papers citing papers by Cameron J. Browne
This network shows the impact of papers produced by Cameron J. Browne. 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 Cameron J. Browne. The network helps show where Cameron J. Browne may publish in the future.
Co-authorship network of co-authors of Cameron J. Browne
This figure shows the co-authorship network connecting the top 25 collaborators of Cameron J. Browne. A scholar is included among the top collaborators of Cameron J. Browne 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 Cameron J. Browne. Cameron J. Browne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 15 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 33 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 15 | |
| 15 | 2 | |
| 16 | 10 | |
| 17 | 19 | |
| 18 | 22 | |
| 19 | 77 | |
| 20 | 18 |
About Cameron J. Browne
Cameron J. Browne is a scholar working on Modeling and Simulation, Virology and Public Health, Environmental and Occupational Health, having authored 20 papers that have together received 249 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (13 papers), COVID-19 epidemiological studies (9 papers) and Evolution and Genetic Dynamics (8 papers). The work is most often cited by research in Modeling and Simulation (130 citations), Endocrinology (30 citations) and Public Health, Environmental and Occupational Health (151 citations). Cameron J. Browne has collaborated with scholars based in United States, Iran and United Kingdom. Frequent co-authors include Sergei S. Pilyugin, Glenn F. Webb, Lydia Bourouiba, Robert J. Smith, Hal L. Smith, Taj Azarian, Marco Salemi, J. Glenn Morris, Carla Mavian and Taylor K. Paisie. Their work appears in journals such as Proceedings of the National Academy of Sciences, Frontiers in Immunology and Journal of Theoretical Biology.
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.