J. G. Gaines
- Finance top 2%
- Mathematical Physics top 10%
- Numerical Analysis top 10%
- Computational Theory and Mathematics top 5%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Terry LyonsAndrew DavieFabienne CastellDan CrisanHuaizhong ZhaoK. D. ElworthyAubrey TrumanNicos Christodoulakis
- Topics
- Stochastic processes and financial applications (7 papers)Stochastic processes and statistical mechanics (4 papers)Financial Risk and Volatility Modeling (3 papers)
- Journals
- Mathematics of ComputationSIAM Journal on Applied MathematicsMathematical and Computer Modelling
- Partner nations
- United KingdomItalyGreece
In The Last Decade
J. G. Gaines
11 papers receiving 380 citations
Peers
Comparison fields: 5 of 61
- Finance 258
- Mathematical Physics 100
- Numerical Analysis 81
- Computational Theory and Mathematics 80
- Statistical and Nonlinear Physics 63
Countries citing papers authored by J. G. Gaines
This map shows the geographic impact of J. G. Gaines'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 J. G. Gaines with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. G. Gaines more than expected).
Fields of papers citing papers by J. G. Gaines
This network shows the impact of papers produced by J. G. Gaines. 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 J. G. Gaines. The network helps show where J. G. Gaines may publish in the future.
Co-authorship network of co-authors of J. G. Gaines
This figure shows the co-authorship network connecting the top 25 collaborators of J. G. Gaines. A scholar is included among the top collaborators of J. G. Gaines 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 J. G. Gaines. J. G. Gaines is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 101 | |
| 2 | 53 | |
| 3 | 107 | |
| 4 | The ordinary differential equation approach to asymptotically efficient schemes for solution of stochastic differential equations | 22 |
| 5 | 8 | |
| 6 | 21 | |
| 7 | 22 | |
| 8 | 15 | |
| 9 | 53 | |
| 10 | 33 | |
| 11 | 3 |
About J. G. Gaines
J. G. Gaines is a scholar working on Finance, Mathematical Physics and Modeling and Simulation, having authored 11 papers that have together received 438 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (7 papers), Stochastic processes and statistical mechanics (4 papers) and Financial Risk and Volatility Modeling (3 papers). The work is most often cited by research in Finance (258 citations), Numerical Analysis (81 citations) and Mathematical Physics (100 citations). J. G. Gaines has collaborated with scholars based in United Kingdom, Italy and Greece. Frequent co-authors include Terry Lyons, Andrew Davie, Fabienne Castell, Dan Crisan, Huaizhong Zhao, K. D. Elworthy, Aubrey Truman, Nicos Christodoulakis and Paul Levine. Their work appears in journals such as Mathematics of Computation, SIAM Journal on Applied Mathematics and Mathematical and Computer Modelling.
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.