Harald Oberhauser
- Finance top 5%
- Computational Theory and Mathematics top 5%
- Mathematical Physics top 10%
- Applied Mathematics top 10%
- Artificial Intelligence
- Co-authors
- Peter K. FrizFranz J. KirályVidit NandaIlya ChevyrevMichael CaruanaTerry LyonsHao NiGonçalo dos Reis
- Topics
- Stochastic processes and financial applications (11 papers)Topological and Geometric Data Analysis (5 papers)Time Series Analysis and Forecasting (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Automatic ControlThe Annals of Statistics
- Partner nations
- United KingdomSlovakiaGermany
In The Last Decade
Harald Oberhauser
20 papers receiving 234 citations
Peers
Comparison fields: 5 of 61
- Finance 101
- Computational Theory and Mathematics 81
- Mathematical Physics 66
- Applied Mathematics 38
- Artificial Intelligence 30
Countries citing papers authored by Harald Oberhauser
This map shows the geographic impact of Harald Oberhauser'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 Harald Oberhauser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harald Oberhauser more than expected).
Fields of papers citing papers by Harald Oberhauser
This network shows the impact of papers produced by Harald Oberhauser. 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 Harald Oberhauser. The network helps show where Harald Oberhauser may publish in the future.
Co-authorship network of co-authors of Harald Oberhauser
This figure shows the co-authorship network connecting the top 25 collaborators of Harald Oberhauser. A scholar is included among the top collaborators of Harald Oberhauser 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 Harald Oberhauser. Harald Oberhauser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | A Randomized Algorithm to Reduce the Support of Discrete Measures | 1 |
| 10 | 1 | |
| 11 | Kernels for sequentially ordered data | 34 |
| 12 | 6 | |
| 13 | 42 | |
| 14 | 13 | |
| 15 | 14 | |
| 16 | 17 | |
| 17 | 10 | |
| 18 | Rough path stability of SPDEs arising in non-linear filtering | 3 |
| 19 | 25 | |
| 20 | 27 |
About Harald Oberhauser
Harald Oberhauser is a scholar working on Computational Mathematics, Finance and Mathematical Physics, having authored 25 papers that have together received 253 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (11 papers), Topological and Geometric Data Analysis (5 papers) and Time Series Analysis and Forecasting (3 papers). The work is most often cited by research in Finance (101 citations), Mathematical Physics (66 citations) and Computational Theory and Mathematics (81 citations). Harald Oberhauser has collaborated with scholars based in United Kingdom, Slovakia and Germany. Frequent co-authors include Peter K. Friz, Franz J. Király, Vidit Nanda, Ilya Chevyrev, Michael Caruana, Terry Lyons, Hao Ni, Gonçalo dos Reis, Csaba D. Tóth and Chong Liu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and The Annals of Statistics.
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.