Kevin Burrage

14.8k total citations · 3 hit papers
340 papers, 10.5k citations indexed

About

Kevin Burrage is a scholar working on Numerical Analysis, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Kevin Burrage has authored 340 papers receiving a total of 10.5k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Numerical Analysis, 101 papers in Molecular Biology and 79 papers in Computational Theory and Mathematics. Recurrent topics in Kevin Burrage's work include Numerical methods for differential equations (84 papers), Gene Regulatory Network Analysis (58 papers) and Matrix Theory and Algorithms (56 papers). Kevin Burrage is often cited by papers focused on Numerical methods for differential equations (84 papers), Gene Regulatory Network Analysis (58 papers) and Matrix Theory and Algorithms (56 papers). Kevin Burrage collaborates with scholars based in Australia, United Kingdom and China. Kevin Burrage's co-authors include Tianhai Tian, Ian Turner, Pamela Burrage, J. C. Butcher, Fawang Liu, Vo Anh, David Kay, Alfonso Bueno‐Orovio, Blanca Rodríguez and Peixian Zhuang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Kevin Burrage

330 papers receiving 9.8k citations

Hit Papers

Stability and convergence of the difference methods for t... 2007 2026 2013 2019 2007 2014 2014 100 200 300 400

Peers

Kevin Burrage
Comparison fields: 5 of 196
  • Numerical Analysis 4.0k
  • Modeling and Simulation 3.3k
  • Molecular Biology 2.9k
  • Computational Theory and Mathematics 1.5k
  • Computational Mechanics 1.2k
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Citations per field, relative to Kevin Burrage
Kevin Burrage · 1×
Citations per year, relative to Kevin Burrage
Kevin Burrage · 1×

Countries citing papers authored by Kevin Burrage

Since Specialization
Citations

This map shows the geographic impact of Kevin 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 Kevin Burrage with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Burrage more than expected).

Fields of papers citing papers by Kevin Burrage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin 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 Kevin Burrage. The network helps show where Kevin Burrage may publish in the future.

Co-authorship network of co-authors of Kevin Burrage

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Burrage. A scholar is included among the top collaborators of Kevin 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 Kevin Burrage. Kevin Burrage is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 4
3 6
4 24
5 27
6 10
7 16
8 12
9 21
10 18
11 22
12 19
13 1
14 149
15
Model systems in computational systems biology
4
16
Strong first order S-ROCK methods for stochastic differential equations
2
17 6
18
A note on the stability properties of the Euler methods for solving stochastic differential equations
28
19
ADVISE: Agricultural developmental visualisation interactive software environment
1
20
The order of B-convergence of algebraically stable Runge-Kutta methods
3

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.

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