Martin Hairer
- Finance top 0.5%
- Stochastic processes and financial applications 48
- Mathematical Physics top 0.5%
- Stochastic processes and statistical mechanics 30
- Mathematical Dynamics and Fractals 9
- Applied Mathematics top 1%
- Nonlinear Partial Differential Equations 9
- Statistics and Probability top 0.5%
- Markov Chains and Monte Carlo Methods 10
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- Advanced Mathematical Modeling in Engineering 24
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- Theoretical and Computational Physics 9
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- Fluid Dynamics and Turbulent Flows 8
- Co-authors
- Jonathan C. MattinglyPeter K. FrizYvain BrunedMichael ScheutzowAndrew J. MajdaLorenzo ZambottiGrigorios A. PavliotisHao Shen
- Journals
- The Annals of Probability (11 papers)Probability Theory and Related Fields (8 papers)Communications in Mathematical Physics (7 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Martin Hairer
85 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Finance 1.5k
- Mathematical Physics 1.2k
- Applied Mathematics 640
- Statistics and Probability 495
- Computational Theory and Mathematics 587
Countries citing papers authored by Martin Hairer
This map shows the geographic impact of Martin Hairer'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 Martin Hairer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Hairer more than expected).
Fields of papers citing papers by Martin Hairer
This network shows the impact of papers produced by Martin Hairer. 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 Martin Hairer. The network helps show where Martin Hairer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin Hairer, 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 | 2024 | 8 | |
| 2 | 2024 | 12 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 9 | |
| 9 | 2020 | 55 | |
| 10 | 2018 | 13 | |
| 11 | 2017 | 24 | |
| 12 | A simple construction of the continuum parabolic Anderson model on R2 | 2015 | 35 |
| 13 | 2013 | 12 | |
| 14 | 2011 | 5 | |
| 15 | 2011 | 38 | |
| 16 | 2010 | 5 | |
| 17 | 2009 | 28 | |
| 18 | 2008 | 17 | |
| 19 | 2008 | 11 | |
| 20 | A Bayesian Approach to Data Assimilation | 2005 | 4 |
About Martin Hairer
Martin Hairer is a scholar working on Mathematical Physics, Finance, Applied Mathematics, Statistics and Probability and Computational Theory and Mathematics, having authored 86 papers that have together received 2.8k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (48 papers), Stochastic processes and statistical mechanics (30 papers), Advanced Mathematical Modeling in Engineering (24 papers), Markov Chains and Monte Carlo Methods (10 papers), Theoretical and Computational Physics (9 papers), Nonlinear Partial Differential Equations (9 papers), Mathematical Dynamics and Fractals (9 papers) and Fluid Dynamics and Turbulent Flows (8 papers). The work is most often cited by research in Finance (1.5k citations), Mathematical Physics (1.2k citations), Applied Mathematics (640 citations), Statistics and Probability (495 citations) and Computational Theory and Mathematics (587 citations). Martin Hairer has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Jonathan C. Mattingly, Peter K. Friz, Yvain Bruned, Michael Scheutzow, Andrew J. Majda, Lorenzo Zambotti, Grigorios A. Pavliotis, Hao Shen, Hendrik Weber and Natesh S. Pillai. Their work appears in journals such as The Annals of Probability, Probability Theory and Related Fields, Communications in Mathematical Physics, Communications on Pure and Applied Mathematics and Journal of Functional 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.