Hans Rudolf Lerche
- Finance top 5%
- Management Science and Operations Research top 10%
- Mathematical Physics top 10%
- Statistics and Probability top 5%
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- Martin BeibelDavid SiegmundMikhail UrusovPavel V. GapeevDominik StichMichael WoodroofeRobert W. KeenerYoel Haitovsky
- Topics
- Stochastic processes and financial applications (11 papers)Stochastic processes and statistical mechanics (6 papers)Advanced Statistical Process Monitoring (4 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Annals of StatisticsProbability Theory and Related Fields
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Hans Rudolf Lerche
16 papers receiving 273 citations
Peers
Comparison fields: 5 of 44
- Finance 188
- Management Science and Operations Research 82
- Mathematical Physics 71
- Statistics and Probability 67
- Statistics, Probability and Uncertainty 56
Countries citing papers authored by Hans Rudolf Lerche
This map shows the geographic impact of Hans Rudolf Lerche'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 Hans Rudolf Lerche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Rudolf Lerche more than expected).
Fields of papers citing papers by Hans Rudolf Lerche
This network shows the impact of papers produced by Hans Rudolf Lerche. 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 Hans Rudolf Lerche. The network helps show where Hans Rudolf Lerche may publish in the future.
Co-authorship network of co-authors of Hans Rudolf Lerche
This figure shows the co-authorship network connecting the top 25 collaborators of Hans Rudolf Lerche. A scholar is included among the top collaborators of Hans Rudolf Lerche 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 Hans Rudolf Lerche. Hans Rudolf Lerche is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | Discounted optimal stopping for diffusions: free-boundary versus martingale approach | 1 |
| 4 | 16 | |
| 5 | 2 | |
| 6 | 21 | |
| 7 | 23 | |
| 8 | A New Look at Optimal Stopping Problems related to Mathematical Finance | 56 |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 12 | |
| 12 | 8 | |
| 13 | 10 | |
| 14 | 15 | |
| 15 | 14 | |
| 16 | 86 | |
| 17 | 0 | |
| 18 | 4 | |
| 19 | 35 |
About Hans Rudolf Lerche
Hans Rudolf Lerche is a scholar working on Finance, Mathematical Physics and Statistics and Probability, having authored 19 papers that have together received 318 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (11 papers), Stochastic processes and statistical mechanics (6 papers) and Advanced Statistical Process Monitoring (4 papers). The work is most often cited by research in Finance (188 citations), Statistics and Probability (67 citations) and Mathematical Physics (71 citations). Hans Rudolf Lerche has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Martin Beibel, David Siegmund, Mikhail Urusov, Pavel V. Gapeev, Dominik Stich, Michael Woodroofe, Robert W. Keener, Yoel Haitovsky and Ya’acov Ritov. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Annals of Statistics and Probability Theory and Related Fields.
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.