Samuel Müller
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Oral Surgery top 2%
- Dental Implant Techniques and Outcomes
Papers in
-
- Statistical Methods and Inference 33
- Advanced Statistical Methods and Models 19
- Statistical Methods and Bayesian Inference 18
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- Bayesian Methods and Mixture Models 10
- Co-authors
- A. H. Welsh (13 shared papers)Janice L. Scealy (1 shared paper)Ke Xu (1 shared paper)Birgit Pfitzmann (3 shared papers)David Basin (3 shared papers)Felix Klaedtke (3 shared papers)Niklaus P. Lang (1 shared paper)Urs Brägger (1 shared paper)
- Journals
- Computational Statistics & Data Analysis (4 papers)Statistics and Computing (4 papers)Journal of the American Statistical Association (4 papers)Journal of Statistical Computation and Simulation (3 papers)Biodiversity and Conservation (2 papers)
- Partner nations
- AustraliaSwitzerlandUnited States
In The Last Decade
Samuel Müller
100 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 172
- Statistics and Probability 342
- Oral Surgery 164
- Management Information Systems 198
- Software 48
- Artificial Intelligence 341
Countries citing papers authored by Samuel Müller
This map shows the geographic impact of Samuel 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 Samuel Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Müller more than expected).
Fields of papers citing papers by Samuel Müller
This network shows the impact of papers produced by Samuel 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 Samuel Müller. The network helps show where Samuel Müller may publish in the future.
Co-authors
The 25 scholars most cited alongside Samuel 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
Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 208 | |
| 2 | 2004 | 166 | |
| 3 | 2006 | 154 | |
| 4 | 2002 | 137 | |
| 5 | 2007 | 115 | |
| 6 | 2002 | 77 | |
| 7 | 2014 | 64 | |
| 8 | 2015 | 60 | |
| 9 | From Regulatory Policies to Event Monitoring Rules: Towards Model-Driven Compliance Automation | 2006 | 53 |
| 10 | 2003 | 52 | |
| 11 | Regulations Expressed As Logical Models (REALM) | 2005 | 51 |
| 12 | 2005 | 51 | |
| 13 | 2007 | 43 | |
| 14 | 2016 | 41 | |
| 15 | 2002 | 40 | |
| 16 | 2008 | 39 | |
| 17 | 2010 | 34 | |
| 18 | 2015 | 34 | |
| 19 | 2022 | 32 | |
| 20 | 2017 | 27 |
About Samuel Müller
Samuel Müller is a scholar working on Statistics and Probability, Artificial Intelligence, Molecular Biology, Finance and Oncology, having authored 102 papers that have together received 2.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (33 papers), Advanced Statistical Methods and Models (19 papers), Statistical Methods and Bayesian Inference (18 papers), Bayesian Methods and Mixture Models (10 papers), Financial Risk and Volatility Modeling (7 papers), Business Process Modeling and Analysis (4 papers), Genetic and phenotypic traits in livestock (4 papers) and Ecology and Vegetation Dynamics Studies (4 papers). The work is most often cited by research in Statistics and Probability (342 citations), Oral Surgery (164 citations), Management Information Systems (198 citations), Software (48 citations) and Artificial Intelligence (341 citations). Samuel Müller has collaborated with scholars based in Australia, Switzerland and United States. Frequent co-authors include A. H. Welsh, Janice L. Scealy, Ke Xu, Birgit Pfitzmann, David Basin, Felix Klaedtke, Niklaus P. Lang, Urs Brägger, Giovanni E. Salvi and Lisa J. A. Heitz‐Mayfield. Their work appears in journals such as Computational Statistics & Data Analysis, Statistics and Computing, Journal of the American Statistical Association, Journal of Statistical Computation and Simulation and Biodiversity and Conservation.
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.