Mathias Vetter
- Finance top 0.5%
- Economics and Econometrics top 2%
- Statistics and Probability top 2%
- General Economics, Econometrics and Finance top 5%
- Management Science and Operations Research top 10%
- Co-authors
- Mark PodolskijJean JacodPer A. MyklandYingying LiHolger DetteKim ChristensenMark C. ThompsonAxel Bücher
- Topics
- Financial Risk and Volatility Modeling (25 papers)Stochastic processes and financial applications (22 papers)Statistical Methods and Inference (12 papers)
- Partner nations
- GermanyDenmarkUnited States
In The Last Decade
Mathias Vetter
40 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 60
- Finance 1.0k
- Economics and Econometrics 567
- Statistics and Probability 252
- General Economics, Econometrics and Finance 205
- Management Science and Operations Research 70
Countries citing papers authored by Mathias Vetter
This map shows the geographic impact of Mathias Vetter'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 Mathias Vetter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Vetter more than expected).
Fields of papers citing papers by Mathias Vetter
This network shows the impact of papers produced by Mathias Vetter. 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 Mathias Vetter. The network helps show where Mathias Vetter may publish in the future.
Co-authorship network of co-authors of Mathias Vetter
This figure shows the co-authorship network connecting the top 25 collaborators of Mathias Vetter. A scholar is included among the top collaborators of Mathias Vetter 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 Mathias Vetter. Mathias Vetter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 13 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 43 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 9 | |
| 9 | 32 | |
| 10 | 34 | |
| 11 | 21 | |
| 12 | 82 | |
| 13 | 449 | |
| 14 | 22 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 8 | |
| 18 | 8 | |
| 19 | 7 | |
| 20 | 16 |
About Mathias Vetter
Mathias Vetter is a scholar working on Finance, Statistics and Probability and Management Science and Operations Research, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (25 papers), Stochastic processes and financial applications (22 papers) and Statistical Methods and Inference (12 papers). The work is most often cited by research in Finance (1.0k citations), Statistics and Probability (252 citations) and General Economics, Econometrics and Finance (205 citations). Mathias Vetter has collaborated with scholars based in Germany, Denmark and United States. Frequent co-authors include Mark Podolskij, Jean Jacod, Per A. Mykland, Yingying Li, Holger Dette, Kim Christensen, Mark C. Thompson, Axel Bücher, Markus Bibinger and Hansruedi Benedickter. Their work appears in journals such as Nature, Journal of the American Statistical Association 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.