Marlene Müller
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Finance top 5%
- Financial Risk and Volatility Modeling
Papers in
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- Bayesian Methods and Mixture Models 5
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- Statistical Methods and Inference 6
- Statistical Methods and Bayesian Inference 3
- Co-authors
- Wolfgang Karl Härdle (9 shared papers)Axel Werwatz (4 shared papers)Stefan Sperlich (1 shared paper)Enno Mammen (3 shared papers)Michael C. Burda (3 shared papers)Sigbert Klinke (1 shared paper)Göran Kauermann (1 shared paper)Raymond J. Carroll (1 shared paper)
- Journals
- Journal of the American Statistical Association (2 papers)Journal of Applied Econometrics (2 papers)Pharmaceuticals (1 paper)Statistics and Computing (1 paper)Statistics & Probability Letters (1 paper)
- Partner nations
- GermanyUnited StatesTaiwan
In The Last Decade
Marlene Müller
15 papers receiving 913 citations
Marlene Müller's Hit Papers
Peers
Comparison fields: 5 of 137
- Statistics and Probability 375
- Finance 97
- Statistics, Probability and Uncertainty 59
- Economics and Econometrics 191
- Artificial Intelligence 206
Countries citing papers authored by Marlene Müller
This map shows the geographic impact of Marlene 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 Marlene Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marlene Müller more than expected).
Fields of papers citing papers by Marlene Müller
This network shows the impact of papers produced by Marlene 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 Marlene Müller. The network helps show where Marlene Müller may publish in the future.
Co-authors
The 14 scholars most cited alongside Marlene 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 | Nonparametric and Semiparametric Models Hit paper breakdown → | 2004 | 672 |
| 2 | 1998 | 80 | |
| 3 | 1998 | 79 | |
| 4 | 1999 | 33 | |
| 5 | 2001 | 30 | |
| 6 | 1998 | 27 | |
| 7 | 1998 | 14 | |
| 8 | 1997 | 13 | |
| 9 | 1998 | 13 | |
| 10 | 2021 | 9 | |
| 11 | 2002 | 8 | |
| 12 | 1997 | 2 | |
| 13 | 2013 | 2 | |
| 14 | Computerassisted Semiparametric Generalized Linear Models | 1996 | 1 |
| 15 | 2013 | 1 | |
| 16 | 2009 | 0 | |
| 17 | 2013 | 0 |
About Marlene Müller
Marlene Müller is a scholar working on Artificial Intelligence, Statistics and Probability, Sociology and Political Science, Language and Linguistics and Economics and Econometrics, having authored 17 papers that have together received 984 indexed citations. Recurring topics across this work include Statistical Methods and Inference (6 papers), Bayesian Methods and Mixture Models (5 papers), Statistical Methods and Bayesian Inference (3 papers), Education Methods and Technologies (3 papers), Sociology and Education Studies (3 papers), Linguistic Education and Pedagogy (3 papers), Climate Change Policy and Economics (2 papers) and Regional Economics and Spatial Analysis (2 papers). The work is most often cited by research in Statistics and Probability (375 citations), Finance (97 citations), Statistics, Probability and Uncertainty (59 citations), Economics and Econometrics (191 citations) and Artificial Intelligence (206 citations). Marlene Müller has collaborated with scholars based in Germany, United States and Taiwan. Frequent co-authors include Wolfgang Karl Härdle, Axel Werwatz, Stefan Sperlich, Enno Mammen, Michael C. Burda, Sigbert Klinke, Göran Kauermann, Raymond J. Carroll, Holger Kraft and Gerald Kroisandt. Their work appears in journals such as Journal of the American Statistical Association, Journal of Applied Econometrics, Pharmaceuticals, Statistics and Computing and Statistics & Probability Letters.
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.