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 5%
- Dental Implant Techniques and Outcomes
Papers in
-
- Statistical Methods and Inference 34
- Statistical Methods and Bayesian Inference 19
- Advanced Statistical Methods and Models 19
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- Renal Transplantation Outcomes and Treatments 4
- Co-authors
- A. H. WelshJanice L. ScealyBirgit PfitzmannKe XuFelix KlaedtkeDavid BasinFrancis K. C. HuiNiklaus P. Lang
- Journals
- Journal of the American Statistical Association (4 papers)Computational Statistics & Data Analysis (4 papers)Journal of Statistical Computation and Simulation (3 papers)Statistics and Computing (3 papers)Clinical Neurophysiology (2 papers)
- Partner nations
- AustraliaSwitzerlandUnited States
In The Last Decade
Samuel Müller
99 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 175
- Statistics and Probability 355
- Oral Surgery 178
- Management Information Systems 198
- Periodontics 62
- Software 48
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 19 | |
| 9 | 2022 | 28 | |
| 10 | 2016 | 3 | |
| 11 | Influence of measures of significance based weights in the weighted Lasso | 2014 | 2 |
| 12 | 2013 | 8 | |
| 13 | 2012 | 3 | |
| 14 | 2011 | 11 | |
| 15 | 2011 | 1 | |
| 16 | Optimization of breeding value estimation for piglets born alive in view of litter number differentiation and herd season. | 2010 | 2 |
| 17 | 2010 | 7 | |
| 18 | Regulations Expressed As Logical Models (REALM) | 2005 | 51 |
| 19 | 2001 | 7 | |
| 20 | Die Positronenemissionstomographie zur Primärtumorsuche bei Halslymphknotenmetastasen mit unbekanntem Primärtumor | 1996 | 2 |
About Samuel Müller
Samuel Müller is a scholar working on Statistics and Probability, Transplantation, Artificial Intelligence, Finance and Management Information Systems, having authored 103 papers that have together received 2.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (34 papers), Statistical Methods and Bayesian Inference (19 papers), Advanced Statistical Methods and Models (19 papers), Bayesian Methods and Mixture Models (9 papers), Financial Risk and Volatility Modeling (7 papers), Genetic and phenotypic traits in livestock (5 papers), Renal Transplantation Outcomes and Treatments (4 papers) and Ecology and Vegetation Dynamics Studies (4 papers). The work is most often cited by research in Statistics and Probability (355 citations), Oral Surgery (178 citations), Management Information Systems (198 citations), Periodontics (62 citations) and Software (48 citations). Samuel Müller has collaborated with scholars based in Australia, Switzerland and United States. Frequent co-authors include A. H. Welsh, Janice L. Scealy, Birgit Pfitzmann, Ke Xu, Felix Klaedtke, David Basin, Francis K. C. Hui, Niklaus P. Lang, Urs Brägger and Giovanni E. Salvi. Their work appears in journals such as Journal of the American Statistical Association, Computational Statistics & Data Analysis, Journal of Statistical Computation and Simulation, Statistics and Computing and Clinical Neurophysiology.
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.