Uwe Hassler
- Economics and Econometrics top 0.5%
- Finance top 1%
- General Economics, Econometrics and Finance top 1%
- Cognitive Neuroscience top 5%
- Statistics and Probability top 2%
- Co-authors
- Jürgen WoltersThomas GruberNelson J. Trujillo‐BarretoMatei DemetrescuJörg BreitungUlla MartensGebhard KirchgäßnerUwe Friese
- Topics
- Financial Risk and Volatility Modeling (42 papers)Monetary Policy and Economic Impact (40 papers)Complex Systems and Time Series Analysis (32 papers)
- Journals
- PLoS ONENeuroImageBrain Research
In The Last Decade
Uwe Hassler
86 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 138
- Economics and Econometrics 1.2k
- Finance 808
- General Economics, Econometrics and Finance 778
- Cognitive Neuroscience 324
- Statistics and Probability 154
Countries citing papers authored by Uwe Hassler
This map shows the geographic impact of Uwe Hassler'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 Uwe Hassler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uwe Hassler more than expected).
Fields of papers citing papers by Uwe Hassler
This network shows the impact of papers produced by Uwe Hassler. 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 Uwe Hassler. The network helps show where Uwe Hassler may publish in the future.
Co-authorship network of co-authors of Uwe Hassler
This figure shows the co-authorship network connecting the top 25 collaborators of Uwe Hassler. A scholar is included among the top collaborators of Uwe Hassler 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 Uwe Hassler. Uwe Hassler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 21 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 9 | |
| 11 | 8 | |
| 12 | 173 | |
| 13 | 65 | |
| 14 | Testing against a Change from Short to Long Memory | 2 |
| 15 | A note on Phillips-Perron-type statistics for cointegration testing | 1 |
| 16 | 15 | |
| 17 | 61 | |
| 18 | Zeitabhängige Volatilität und instationäre Zeitreihen: Zum Nobelpreis an Robert F. Engle und Clive W. J. Granger | 0 |
| 19 | 6 | |
| 20 | 13 |
About Uwe Hassler
Uwe Hassler is a scholar working on General Economics, Econometrics and Finance, Finance and Statistics and Probability, having authored 94 papers that have together received 1.9k indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (42 papers), Monetary Policy and Economic Impact (40 papers) and Complex Systems and Time Series Analysis (32 papers). The work is most often cited by research in General Economics, Econometrics and Finance (778 citations), Finance (808 citations) and Economics and Econometrics (1.2k citations). Uwe Hassler has collaborated with scholars based in Germany, Spain and Portugal. Frequent co-authors include Jürgen Wolters, Thomas Gruber, Nelson J. Trujillo‐Barreto, Matei Demetrescu, Jörg Breitung, Ulla Martens, Gebhard Kirchgäßner, Uwe Friese, Moritz Köster and Владимир Кузин. Their work appears in journals such as PLoS ONE, NeuroImage and Brain 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.