Aubrey Truman
- Mathematical Physics top 2%
- Applied Mathematics top 2%
- Finance top 2%
- Statistical and Nonlinear Physics top 2%
- Control and Systems Engineering top 5%
- Co-authors
- Kai LiuTakeshi TaniguchiIan DaviesHuaizhong ZhaoO. G. SmolyanovDavid ElworthyDavid WilliamsJiang-Lun Wu
- Topics
- Stochastic processes and financial applications (18 papers)Quantum chaos and dynamical systems (11 papers)Advanced Thermodynamics and Statistical Mechanics (8 papers)
- Partner nations
- United KingdomRussiaChina
In The Last Decade
Aubrey Truman
61 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 57
- Mathematical Physics 447
- Applied Mathematics 376
- Finance 329
- Statistical and Nonlinear Physics 264
- Control and Systems Engineering 255
Countries citing papers authored by Aubrey Truman
This map shows the geographic impact of Aubrey Truman'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 Aubrey Truman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aubrey Truman more than expected).
Fields of papers citing papers by Aubrey Truman
This network shows the impact of papers produced by Aubrey Truman. 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 Aubrey Truman. The network helps show where Aubrey Truman may publish in the future.
Co-authorship network of co-authors of Aubrey Truman
This figure shows the co-authorship network connecting the top 25 collaborators of Aubrey Truman. A scholar is included among the top collaborators of Aubrey Truman 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 Aubrey Truman. Aubrey Truman 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 | 2 | |
| 3 | 16 | |
| 4 | 1 | |
| 5 | 25 | |
| 6 | A one dimensional analysis of turbulence and its intermittence for the d-dimensional stochastic Burgers equation | 1 |
| 7 | 13 | |
| 8 | 28 | |
| 9 | 143 | |
| 10 | 88 | |
| 11 | Stochastic Mehler kernels via oscillatory path integrals | 4 |
| 12 | 3 | |
| 13 | 11 | |
| 14 | 22 | |
| 15 | 1 | |
| 16 | IXth International Congress on Mathematical Physics, 17-27 July 1988, Swansea, Wales | 1 |
| 17 | Feynman maps, Cameron-Martin formulae and anharmonic oscillators | 39 |
| 18 | Semi-classical approximation and microcanonical ensemble | 3 |
| 19 | 1 | |
| 20 | 7 |
About Aubrey Truman
Aubrey Truman is a scholar working on Mathematical Physics, Finance and Statistical and Nonlinear Physics, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (18 papers), Quantum chaos and dynamical systems (11 papers) and Advanced Thermodynamics and Statistical Mechanics (8 papers). The work is most often cited by research in Mathematical Physics (447 citations), Applied Mathematics (376 citations) and Finance (329 citations). Aubrey Truman has collaborated with scholars based in United Kingdom, Russia and China. Frequent co-authors include Kai Liu, Takeshi Taniguchi, Ian Davies, Huaizhong Zhao, O. G. Smolyanov, David Elworthy, David Williams, Jiang-Lun Wu, Chenggui Yuan and Jianhai Bao. Their work appears in journals such as Communications in Mathematical Physics, Physics Letters A and Lecture notes in 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.