Elaine Crooks
- Public Health, Environmental and Occupational Health
- Applied Mathematics top 5%
- Modeling and Simulation top 5%
- Computational Theory and Mathematics top 10%
- Mathematical Physics
- Co-authors
- E. N. DancerMamoru MimuraDorothea HilhorstHirokazu NinomiyaJohn TolandDanielle HilhorstKewei ZhangJe-Chiang Tsai
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (12 papers)Advanced Mathematical Modeling in Engineering (8 papers)Nonlinear Partial Differential Equations (6 papers)
- Partner nations
- United KingdomArgentinaAustralia
In The Last Decade
Elaine Crooks
26 papers receiving 221 citations
Peers
Comparison fields: 5 of 57
- Public Health, Environmental and Occupational Health 126
- Applied Mathematics 76
- Modeling and Simulation 63
- Computational Theory and Mathematics 45
- Mathematical Physics 38
Countries citing papers authored by Elaine Crooks
This map shows the geographic impact of Elaine Crooks'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 Elaine Crooks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elaine Crooks more than expected).
Fields of papers citing papers by Elaine Crooks
This network shows the impact of papers produced by Elaine Crooks. 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 Elaine Crooks. The network helps show where Elaine Crooks may publish in the future.
Co-authorship network of co-authors of Elaine Crooks
This figure shows the co-authorship network connecting the top 25 collaborators of Elaine Crooks. A scholar is included among the top collaborators of Elaine Crooks 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 Elaine Crooks. Elaine Crooks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | Minimal travelling wave speed and explicit solutions in monostable reaction-diffusion equations | 2 |
| 4 | 17 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 15 | |
| 11 | Competition systems with strong interaction on a subdomain | 1 |
| 12 | 7 | |
| 13 | 7 | |
| 14 | 16 | |
| 15 | 9 | |
| 16 | 55 | |
| 17 | 15 | |
| 18 | 5 | |
| 19 | 19 | |
| 20 | 10 |
About Elaine Crooks
Elaine Crooks is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Numerical Analysis, having authored 27 papers that have together received 233 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (12 papers), Advanced Mathematical Modeling in Engineering (8 papers) and Nonlinear Partial Differential Equations (6 papers). The work is most often cited by research in Modeling and Simulation (63 citations), Applied Mathematics (76 citations) and Numerical Analysis (26 citations). Elaine Crooks has collaborated with scholars based in United Kingdom, Argentina and Australia. Frequent co-authors include E. N. Dancer, Mamoru Mimura, Dorothea Hilhorst, Hirokazu Ninomiya, John Toland, Danielle Hilhorst, Kewei Zhang, Je-Chiang Tsai, Antonio Orlando and J. M. Ball. Their work appears in journals such as Current Biology, Journal of Differential Equations and SIAM Journal on Applied Mathematics.
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.