Hans‐Georg Müller
- Statistics and Probability top 0.5%
- Statistical Methods and Inference 10
- Statistical Methods and Bayesian Inference 6
- Analytical Chemistry top 5%
- Bioengineering top 10%
- Artificial Intelligence top 5%
- Bayesian Methods and Mixture Models 5
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- Linguistic research and analysis 5
- Linguistic Education and Pedagogy 3
- EFL/ESL Teaching and Learning 2
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- Online Learning and Analytics 2
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- Metabolomics and Mass Spectrometry Studies 2
- Co-authors
- Ulrich StadtmüllerDamla ŞentürkFang YaoRong TangFrieder W. SchellerReinhard RennebergJonathan P. EvansJohn A. D. Aston
- Journals
- SHILAP Revista de lepidopterología (1 paper)Journal of the American Statistical Association (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Hans‐Georg Müller
29 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 136
- Statistics and Probability 747
- Analytical Chemistry 97
- Statistics, Probability and Uncertainty 68
- Bioengineering 49
- Artificial Intelligence 275
Countries citing papers authored by Hans‐Georg Müller
This map shows the geographic impact of Hans‐Georg 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 Hans‐Georg Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans‐Georg Müller more than expected).
Fields of papers citing papers by Hans‐Georg Müller
This network shows the impact of papers produced by Hans‐Georg 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 Hans‐Georg Müller. The network helps show where Hans‐Georg Müller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hans‐Georg 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 3 | |
| 11 | 2016 | 5 | |
| 12 | 2015 | 24 | |
| 13 | 2013 | 8 | |
| 14 | 2009 | 14 | |
| 15 | 2008 | 32 | |
| 16 | 2005 | 153 | |
| 17 | 2001 | 10 | |
| 18 | 1993 | 1 | |
| 19 | 1985 | 78 | |
| 20 | Behandlung, Bildung, Erziehung Sprachbehinderter : Vorträge und Berichte über die Diskussions- und Arbeitsgruppen der 10. Arbeitstagung vom 27. bis 30. September 1972 in Heidelberg | 1973 | 0 |
About Hans‐Georg Müller
Hans‐Georg Müller is a scholar working on Statistics and Probability, Aging and Language and Linguistics, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (10 papers), Statistical Methods and Bayesian Inference (6 papers), Bayesian Methods and Mixture Models (5 papers), Linguistic research and analysis (5 papers), Linguistic Education and Pedagogy (3 papers), Online Learning and Analytics (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and EFL/ESL Teaching and Learning (2 papers). The work is most often cited by research in Statistics and Probability (747 citations), Analytical Chemistry (97 citations) and Statistics, Probability and Uncertainty (68 citations). Hans‐Georg Müller has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Ulrich Stadtmüller, Damla Şentürk, Fang Yao, Rong Tang, Frieder W. Scheller, Reinhard Renneberg, Jonathan P. Evans, John A. D. Aston, Jane‐Ling Wang and Philipp Krämer. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.
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.