Tony Shardlow
- Finance top 2%
- Computational Theory and Mathematics top 2%
- Computational Mechanics top 5%
- Statistics, Probability and Uncertainty top 1%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Gabriel J. LordCatherine E. PowellPeter E. KloedenAndrew M. StuartHui TangJ. Michael OwenAndreas NeuenkirchJohannes Zimmer
- Topics
- Stochastic processes and financial applications (17 papers)Advanced Mathematical Modeling in Engineering (9 papers)Fluid Dynamics and Turbulent Flows (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPhysics of FluidsSIAM Journal on Numerical Analysis
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Tony Shardlow
35 papers receiving 875 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Finance 340
- Computational Theory and Mathematics 238
- Computational Mechanics 230
- Statistics, Probability and Uncertainty 183
- Statistical and Nonlinear Physics 166
Countries citing papers authored by Tony Shardlow
This map shows the geographic impact of Tony Shardlow'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 Tony Shardlow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tony Shardlow more than expected).
Fields of papers citing papers by Tony Shardlow
This network shows the impact of papers produced by Tony Shardlow. 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 Tony Shardlow. The network helps show where Tony Shardlow may publish in the future.
Co-authorship network of co-authors of Tony Shardlow
This figure shows the co-authorship network connecting the top 25 collaborators of Tony Shardlow. A scholar is included among the top collaborators of Tony Shardlow 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 Tony Shardlow. Tony Shardlow 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 | 2 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 18 | |
| 6 | A regularised Dean-Kawasaki model for weakly interacting particles | 2 |
| 7 | 19 | |
| 8 | 7 | |
| 9 | 39 | |
| 10 | 6 | |
| 11 | 46 | |
| 12 | 28 | |
| 13 | SDELab: stochastic differential equations with MATLAB | 4 |
| 14 | 47 | |
| 15 | 7 | |
| 16 | 20 | |
| 17 | 97 | |
| 18 | A coupled Cahn-Hilliard particle system | 9 |
| 19 | Stochastic perturbations of the Allen-Cahn equation | 20 |
| 20 | 37 |
About Tony Shardlow
Tony Shardlow is a scholar working on Finance, Numerical Analysis and Mathematical Physics, having authored 35 papers that have together received 954 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (17 papers), Advanced Mathematical Modeling in Engineering (9 papers) and Fluid Dynamics and Turbulent Flows (5 papers). The work is most often cited by research in Finance (340 citations), Numerical Analysis (149 citations) and Statistics, Probability and Uncertainty (183 citations). Tony Shardlow has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Gabriel J. Lord, Catherine E. Powell, Peter E. Kloeden, Andrew M. Stuart, Hui Tang, J. Michael Owen, Andreas Neuenkirch, Johannes Zimmer, Alan W. Craig and James F. Blowey. Their work appears in journals such as SHILAP Revista de lepidopterología, Physics of Fluids and SIAM Journal on Numerical Analysis.
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.