Fabian Krüger
- Economics and Econometrics top 10%
- Finance top 10%
- Global and Planetary Change
- Management Science and Operations Research top 10%
- General Economics, Econometrics and Finance top 10%
- Co-authors
- Alexander I. JordanSebastian LerchJohanna F. ZiegelIngmar NolteOliver GrotheTodd E. ClarkFrancesco RavazzoloGraham Elliott
- Topics
- Financial Risk and Volatility Modeling (8 papers)Monetary Policy and Economic Impact (8 papers)Forecasting Techniques and Applications (5 papers)
- Cited by
- FinanceGeneral Economics, Econometrics and FinanceManagement Science and Operations Research
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Fabian Krüger
17 papers receiving 285 citations
Peers
Comparison fields: 5 of 72
- Economics and Econometrics 83
- Finance 65
- Global and Planetary Change 64
- Management Science and Operations Research 63
- General Economics, Econometrics and Finance 53
Countries citing papers authored by Fabian Krüger
This map shows the geographic impact of Fabian Krüger'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 Fabian Krüger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian Krüger more than expected).
Fields of papers citing papers by Fabian Krüger
This network shows the impact of papers produced by Fabian Krüger. 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 Fabian Krüger. The network helps show where Fabian Krüger may publish in the future.
Co-authorship network of co-authors of Fabian Krüger
This figure shows the co-authorship network connecting the top 25 collaborators of Fabian Krüger. A scholar is included among the top collaborators of Fabian Krüger 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 Fabian Krüger. Fabian Krüger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 23 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 22 | |
| 10 | 2 | |
| 11 | 136 | |
| 12 | 13 | |
| 13 | Evaluating probabilistic forecasts with the R package scoringRules | 10 |
| 14 | 7 | |
| 15 | 8 | |
| 16 | 24 | |
| 17 | 23 | |
| 18 | 3 | |
| 19 | Can we help finance professionals to predict the Euribor rate | 1 |
About Fabian Krüger
Fabian Krüger is a scholar working on General Economics, Econometrics and Finance, Finance and Management Science and Operations Research, having authored 19 papers that have together received 293 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (8 papers), Monetary Policy and Economic Impact (8 papers) and Forecasting Techniques and Applications (5 papers). The work is most often cited by research in Finance (65 citations), General Economics, Econometrics and Finance (53 citations) and Management Science and Operations Research (63 citations). Fabian Krüger has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Alexander I. Jordan, Sebastian Lerch, Johanna F. Ziegel, Ingmar Nolte, Oliver Grothe, Todd E. Clark, Francesco Ravazzolo, Graham Elliott, Dalia Ghanem and Roman Liesenfeld. Their work appears in journals such as The Review of Economics and Statistics, Journal of Banking & Finance and Energy Economics.
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.