Claudia Klüppelberg
- Finance top 0.1%
- Management Science and Operations Research top 0.1%
- Economics and Econometrics top 0.5%
- Statistics and Probability top 0.2%
- Demography top 0.2%
- Co-authors
- Thomas MikoschPaul EmbrechtsSøren AsmussenAlexander LindnerRoss MallerUlrich StadtmüllerLiang PengTamar Gadrich
- Topics
- Financial Risk and Volatility Modeling (91 papers)Stochastic processes and financial applications (55 papers)Probability and Risk Models (54 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Claudia Klüppelberg
144 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Finance 3.6k
- Management Science and Operations Research 2.6k
- Economics and Econometrics 1.8k
- Statistics and Probability 1.5k
- Demography 969
Countries citing papers authored by Claudia Klüppelberg
This map shows the geographic impact of Claudia Klüppelberg'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 Claudia Klüppelberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudia Klüppelberg more than expected).
Fields of papers citing papers by Claudia Klüppelberg
This network shows the impact of papers produced by Claudia Klüppelberg. 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 Claudia Klüppelberg. The network helps show where Claudia Klüppelberg may publish in the future.
Co-authorship network of co-authors of Claudia Klüppelberg
This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Klüppelberg. A scholar is included among the top collaborators of Claudia Klüppelberg 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 Claudia Klüppelberg. Claudia Klüppelberg 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 | 8 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 17 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | Operational VaR: a closed-form approximation | 57 |
| 14 | 47 | |
| 15 | 3 | |
| 16 | 119 | |
| 17 | On strong consistency of estimators for infinite variance time series | 2 |
| 18 | Some Limit Theory for the Self-normalised Periodogram of Stable Processes | 24 |
| 19 | 26 | |
| 20 | Asymptotic ruin probabilities and hazard rates. | 4 |
About Claudia Klüppelberg
Claudia Klüppelberg is a scholar working on Finance, Management Science and Operations Research and Statistics and Probability, having authored 148 papers that have together received 6.1k indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (91 papers), Stochastic processes and financial applications (55 papers) and Probability and Risk Models (54 papers). The work is most often cited by research in Finance (3.6k citations), Management Science and Operations Research (2.6k citations) and Statistics and Probability (1.5k citations). Claudia Klüppelberg has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Thomas Mikosch, Paul Embrechts, Søren Asmussen, Alexander Lindner, Ross Maller, Ulrich Stadtmüller, Liang Peng, Tamar Gadrich, Robert J. Adler and Ralf Korn. Their work appears in journals such as The Journal of Chemical Physics, Journal of Econometrics and Operations Research.
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.