Ulrich K. Müller
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- Monetary Policy and Economic Impact 22
- Statistics and Probability top 1%
- Statistical Methods and Inference 20
- Advanced Statistical Methods and Models 10
- Statistical Methods and Bayesian Inference 5
- Finance top 1%
- Financial Risk and Volatility Modeling 12
- Economics and Econometrics top 1%
- Market Dynamics and Volatility 8
- Complex Systems and Time Series Analysis 6
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- Advanced Statistical Process Monitoring 5
- Co-authors
- Graham ElliottRustam IbragimovMark W. WatsonGebhard KirchgäßnerJames H. StockHong LiAndriy NoretsYulong Wang
- Journals
- Econometrica (8 papers)Journal of Econometrics (7 papers)Journal of Business and Economic Statistics (5 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Ulrich K. Müller
42 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 91
- General Economics, Econometrics and Finance 734
- Statistics and Probability 448
- Finance 530
- Economics and Econometrics 767
- Statistics, Probability and Uncertainty 94
Countries citing papers authored by Ulrich K. Müller
This map shows the geographic impact of Ulrich K. Müller'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 Ulrich K. Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrich K. Müller more than expected).
Fields of papers citing papers by Ulrich K. Müller
This network shows the impact of papers produced by Ulrich K. Müller. 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 Ulrich K. Müller. The network helps show where Ulrich K. Müller may publish in the future.
Co-authorship network
The 10 scholars most cited alongside Ulrich K. Müller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 16 | |
| 4 | 2021 | 2 | |
| 5 | 2020 | 23 | |
| 6 | 2019 | 2 | |
| 7 | 2018 | 3 | |
| 8 | Low-Frequency Econometrics | 2015 | 1 |
| 9 | 2015 | 3 | |
| 10 | 2014 | 0 | |
| 11 | 2012 | 42 | |
| 12 | 2009 | 2 | |
| 13 | 2008 | 4 | |
| 14 | 2007 | 39 | |
| 15 | 2007 | 5 | |
| 16 | 2006 | 21 | |
| 17 | 2005 | 50 | |
| 18 | 2003 | 31 | |
| 19 | 2003 | 14 | |
| 20 | [The configuration frequency analysis. XIII. Multiple, canonical and multivariate prediction CFA and its use in medical sociology]. | 1981 | 0 |
About Ulrich K. Müller
Ulrich K. Müller is a scholar working on General Economics, Econometrics and Finance, Statistics and Probability and Finance, having authored 45 papers that have together received 1.4k indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (22 papers), Statistical Methods and Inference (20 papers), Financial Risk and Volatility Modeling (12 papers), Advanced Statistical Methods and Models (10 papers), Market Dynamics and Volatility (8 papers), Complex Systems and Time Series Analysis (6 papers), Statistical Methods and Bayesian Inference (5 papers) and Advanced Statistical Process Monitoring (5 papers). The work is most often cited by research in General Economics, Econometrics and Finance (734 citations), Statistics and Probability (448 citations) and Finance (530 citations). Ulrich K. Müller has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Graham Elliott, Rustam Ibragimov, Mark W. Watson, Gebhard Kirchgäßner, James H. Stock, Hong Li, Andriy Norets, Yulong Wang, Hong Li and Yu‐Long Wang. Their work appears in journals such as Econometrica, Journal of Econometrics, Journal of Business and Economic Statistics, The Review of Economic Studies and The Review of Economics and 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.