Dominik Wied
- Finance top 2%
- 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
- Pedro GaleanoHerold DehlingGregor WeißWalter KrämerMatthias ArnoldRafael WeißbachHolger DetteNicolai Bissantz
- Topics
- Financial Risk and Volatility Modeling (44 papers)Monetary Policy and Economic Impact (24 papers)Complex Systems and Time Series Analysis (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationJournal of Econometrics
In The Last Decade
Dominik Wied
65 papers receiving 643 citations
Peers
Comparison fields: 5 of 67
- Finance 391
- Economics and Econometrics 379
- Statistics and Probability 195
- General Economics, Econometrics and Finance 170
- Management Science and Operations Research 69
Countries citing papers authored by Dominik Wied
This map shows the geographic impact of Dominik Wied'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 Dominik Wied with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominik Wied more than expected).
Fields of papers citing papers by Dominik Wied
This network shows the impact of papers produced by Dominik Wied. 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 Dominik Wied. The network helps show where Dominik Wied may publish in the future.
Co-authorship network of co-authors of Dominik Wied
This figure shows the co-authorship network connecting the top 25 collaborators of Dominik Wied. A scholar is included among the top collaborators of Dominik Wied 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 Dominik Wied. Dominik Wied 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 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | Automated Portfolio Optimization Based on a New Test for Structural Breaks | 2 |
| 14 | 14 | |
| 15 | 30 | |
| 16 | 1 | |
| 17 | An efficient and robust test for a change-point in correlation | 5 |
| 18 | 20 | |
| 19 | 76 | |
| 20 | 37 |
About Dominik Wied
Dominik Wied is a scholar working on Finance, General Economics, Econometrics and Finance and Statistics and Probability, having authored 72 papers that have together received 660 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (44 papers), Monetary Policy and Economic Impact (24 papers) and Complex Systems and Time Series Analysis (20 papers). The work is most often cited by research in Finance (391 citations), Statistics and Probability (195 citations) and General Economics, Econometrics and Finance (170 citations). Dominik Wied has collaborated with scholars based in Germany, Spain and Austria. Frequent co-authors include Pedro Galeano, Herold Dehling, Gregor Weiß, Walter Krämer, Matthias Arnold, Rafael Weißbach, Holger Dette, Nicolai Bissantz, Hans Manner and Axel Bücher. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Journal of Econometrics.
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.