Pamela Burrage
- Finance top 2%
- Molecular Biology
- Numerical Analysis top 2%
- Modeling and Simulation top 2%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Kevin BurrageTianhai TianConstance BrinckerhoffMargherita CarlettiTaketomo MitsuiBrodie LawsonNicole CusimanoChristopher Drovandi
- Topics
- Stochastic processes and financial applications (17 papers)Gene Regulatory Network Analysis (14 papers)Numerical methods for differential equations (9 papers)
- Partner nations
- AustraliaUnited KingdomItaly
In The Last Decade
Pamela Burrage
55 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 130
- Finance 377
- Molecular Biology 346
- Numerical Analysis 247
- Modeling and Simulation 156
- Statistical and Nonlinear Physics 149
Countries citing papers authored by Pamela Burrage
This map shows the geographic impact of Pamela Burrage'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 Pamela Burrage with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pamela Burrage more than expected).
Fields of papers citing papers by Pamela Burrage
This network shows the impact of papers produced by Pamela Burrage. 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 Pamela Burrage. The network helps show where Pamela Burrage may publish in the future.
Co-authorship network of co-authors of Pamela Burrage
This figure shows the co-authorship network connecting the top 25 collaborators of Pamela Burrage. A scholar is included among the top collaborators of Pamela Burrage 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 Pamela Burrage. Pamela Burrage is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 18 | |
| 7 | How (well) are we assisting our students in becoming 21st century stem graduates | 1 |
| 8 | 2 | |
| 9 | 27 | |
| 10 | 1 | |
| 11 | Preparing engineering graduates for the knowledge economy through blended delivery of mathematics | 1 |
| 12 | 6 | |
| 13 | Low rank Runge-Kutta methods, symplecticity and stochastic Hamiltonian problems with additive noise | 1 |
| 14 | 41 | |
| 15 | Stochastic simulation for spatial modelling of dynamic process in a living cell | 1 |
| 16 | 69 | |
| 17 | 80 | |
| 18 | A variable stepsize implementation for stochastic differential equations | 0 |
| 19 | Order conditions of stochastic Runge-Kutta methods by B-series | 11 |
| 20 | Adams-Type Methods for the Numerical Solution of Stochastic Ordinary Differential Equations | 2 |
About Pamela Burrage
Pamela Burrage is a scholar working on Modeling and Simulation, Numerical Analysis and Finance, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (17 papers), Gene Regulatory Network Analysis (14 papers) and Numerical methods for differential equations (9 papers). The work is most often cited by research in Numerical Analysis (247 citations), Finance (377 citations) and Modeling and Simulation (156 citations). Pamela Burrage has collaborated with scholars based in Australia, United Kingdom and Italy. Frequent co-authors include Kevin Burrage, Tianhai Tian, Constance Brinckerhoff, Margherita Carletti, Taketomo Mitsui, Brodie Lawson, Nicole Cusimano, Christopher Drovandi, Luigi Brugnano and Blanca Rodríguez. Their work appears in journals such as The Journal of Chemical Physics, PLoS ONE and Science Advances.
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.