Roslyn I. Hickson
- Public Health, Environmental and Occupational Health top 10%
- Insect Science top 5%
- Modeling and Simulation top 5%
- Infectious Diseases
- Molecular Biology
- Co-authors
- G. N. MercerSteven BarryMeksianis Z. NdiiDavid AllinghamHarvinder SidhuM. G. RobertsKathryn GlassKamalini Lokuge
- Topics
- Mosquito-borne diseases and control (11 papers)COVID-19 epidemiological studies (8 papers)Mathematical and Theoretical Epidemiology and Ecology Models (8 papers)
- Partner nations
- AustraliaIndonesiaNew Zealand
In The Last Decade
Roslyn I. Hickson
39 papers receiving 550 citations
Peers
Comparison fields: 5 of 115
- Public Health, Environmental and Occupational Health 256
- Insect Science 125
- Modeling and Simulation 99
- Infectious Diseases 80
- Molecular Biology 48
Countries citing papers authored by Roslyn I. Hickson
This map shows the geographic impact of Roslyn I. Hickson'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 Roslyn I. Hickson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roslyn I. Hickson more than expected).
Fields of papers citing papers by Roslyn I. Hickson
This network shows the impact of papers produced by Roslyn I. Hickson. 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 Roslyn I. Hickson. The network helps show where Roslyn I. Hickson may publish in the future.
Co-authorship network of co-authors of Roslyn I. Hickson
This figure shows the co-authorship network connecting the top 25 collaborators of Roslyn I. Hickson. A scholar is included among the top collaborators of Roslyn I. Hickson 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 Roslyn I. Hickson. Roslyn I. Hickson 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 | 0 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 16 | |
| 11 | 6 | |
| 12 | 6 | |
| 13 | 6 | |
| 14 | 12 | |
| 15 | Sensitivity analysis of a model for tuberculosis | 2 |
| 16 | 84 | |
| 17 | 22 | |
| 18 | 73 | |
| 19 | Analysis of coil slumping | 3 |
| 20 | Future spread of lippia in the Murray-Darling Basin under climate change. | 1 |
About Roslyn I. Hickson
Roslyn I. Hickson is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Ecological Modeling, having authored 43 papers that have together received 562 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (11 papers), COVID-19 epidemiological studies (8 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (8 papers). The work is most often cited by research in Modeling and Simulation (99 citations), Insect Science (125 citations) and Public Health, Environmental and Occupational Health (256 citations). Roslyn I. Hickson has collaborated with scholars based in Australia, Indonesia and New Zealand. Frequent co-authors include G. N. Mercer, Steven Barry, Meksianis Z. Ndii, David Allingham, Harvinder Sidhu, M. G. Roberts, Kathryn Glass, Kamalini Lokuge, James M. McCaw and Paul F. Horwood. Their work appears in journals such as PLoS ONE, International Journal of Heat and Mass Transfer 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.