Ajay Chandra
Impact in
- Mathematical Physics top 10%
- Stochastic processes and statistical mechanics
- Advanced Mathematical Physics Problems
- Finance top 10%
- Stochastic processes and financial applications
Papers in
-
- Stochastic processes and statistical mechanics 3
- Finance 4
- Stochastic processes and financial applications 4
- Co-authors
- Ilya Chevyrev (3 shared papers)Martin Hairer (2 shared papers)Hendrik Weber (4 shared papers)Yvain Bruned (1 shared paper)Hao Shen (2 shared papers)
- Journals
- Electronic Journal of Probability (1 paper)Journal of the European Mathematical Society (1 paper)Publications mathématiques de l IHÉS (1 paper)Archive for Rational Mechanics and Analysis (1 paper)Journal of Differential Equations (1 paper)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Ajay Chandra
8 papers receiving 134 citations
Peers
Comparison fields: 5 of 28
- Mathematical Physics 85
- Finance 68
- Statistics and Probability 29
- Computational Mathematics 2
- Applied Mathematics 32
Countries citing papers authored by Ajay Chandra
This map shows the geographic impact of Ajay Chandra'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 Ajay Chandra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajay Chandra more than expected).
Fields of papers citing papers by Ajay Chandra
This network shows the impact of papers produced by Ajay Chandra. 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 Ajay Chandra. The network helps show where Ajay Chandra may publish in the future.
Co-authors
The 5 scholars most cited alongside Ajay Chandra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 55 | |
| 2 | 2017 | 28 | |
| 3 | 2022 | 27 | |
| 4 | 2023 | 9 | |
| 5 | 2022 | 7 | |
| 6 | 2017 | 6 | |
| 7 | 2022 | 2 | |
| 8 | 2024 | 1 |
About Ajay Chandra
Ajay Chandra is a scholar working on Mathematical Physics, Finance, Computational Theory and Mathematics, Nuclear and High Energy Physics and Statistics and Probability, having authored 8 papers that have together received 135 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (4 papers), Stochastic processes and statistical mechanics (3 papers), Black Holes and Theoretical Physics (2 papers), Advanced Mathematical Modeling in Engineering (2 papers), Quantum Chromodynamics and Particle Interactions (1 paper), Markov Chains and Monte Carlo Methods (1 paper), Advanced Numerical Methods in Computational Mathematics (1 paper) and Random Matrices and Applications (1 paper). The work is most often cited by research in Mathematical Physics (85 citations), Finance (68 citations), Statistics and Probability (29 citations), Computational Mathematics (2 citations) and Applied Mathematics (32 citations). Ajay Chandra has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Ilya Chevyrev, Martin Hairer, Hendrik Weber, Yvain Bruned and Hao Shen. Their work appears in journals such as Electronic Journal of Probability, Journal of the European Mathematical Society, Publications mathématiques de l IHÉS, Archive for Rational Mechanics and Analysis and Journal of Differential Equations.
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.