Martin Keller‐Ressel
- Finance top 2%
- Mathematical Physics top 10%
- Economics and Econometrics top 10%
- Statistics and Probability top 5%
- Demography top 10%
- Co-authors
- Josef TeichmannEberhard MayerhoferChrista CuchieroWalter SchachermayerAleksandar MijatovićRené L. SchillingBjörn BöttcherAntonis Papapantoleon
- Topics
- Stochastic processes and financial applications (17 papers)Financial Risk and Volatility Modeling (9 papers)Insurance, Mortality, Demography, Risk Management (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Annals of StatisticsInternational Journal of Computer Vision
- Partner nations
- GermanySwitzerlandAustria
In The Last Decade
Martin Keller‐Ressel
24 papers receiving 357 citations
Peers
Comparison fields: 5 of 43
- Finance 333
- Mathematical Physics 92
- Economics and Econometrics 68
- Statistics and Probability 66
- Demography 51
Countries citing papers authored by Martin Keller‐Ressel
This map shows the geographic impact of Martin Keller‐Ressel'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 Keller‐Ressel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Keller‐Ressel more than expected).
Fields of papers citing papers by Martin Keller‐Ressel
This network shows the impact of papers produced by Martin Keller‐Ressel. 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 Keller‐Ressel. The network helps show where Martin Keller‐Ressel may publish in the future.
Co-authorship network of co-authors of Martin Keller‐Ressel
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Keller‐Ressel. A scholar is included among the top collaborators of Martin Keller‐Ressel 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 Martin Keller‐Ressel. Martin Keller‐Ressel 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 | 9 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | Detecting independence of random vectors II. Distance multivariance and Gaussian multivariance | 2 |
| 7 | 3 | |
| 8 | 40 | |
| 9 | 10 | |
| 10 | 3 | |
| 11 | 14 | |
| 12 | 25 | |
| 13 | 21 | |
| 14 | 60 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 68 | |
| 18 | 35 | |
| 19 | 14 | |
| 20 | A new approach to LIBOR modeling | 2 |
About Martin Keller‐Ressel
Martin Keller‐Ressel is a scholar working on Finance, Statistics and Probability and Demography, having authored 26 papers that have together received 385 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (17 papers), Financial Risk and Volatility Modeling (9 papers) and Insurance, Mortality, Demography, Risk Management (4 papers). The work is most often cited by research in Finance (333 citations), Mathematical Physics (92 citations) and Statistics and Probability (66 citations). Martin Keller‐Ressel has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Josef Teichmann, Eberhard Mayerhofer, Christa Cuchiero, Walter Schachermayer, Aleksandar Mijatović, René L. Schilling, Björn Böttcher, Antonis Papapantoleon, Johannes Muhle‐Karbe and Carlo Sgarra. Their work appears in journals such as SHILAP Revista de lepidopterología, The Annals of Statistics and International Journal of Computer Vision.
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.