Samuel Müller

94 papers and 1.7k indexed citations i.

About

Samuel Müller is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Samuel Müller has authored 94 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Statistics and Probability, 20 papers in Artificial Intelligence and 14 papers in Molecular Biology. Recurrent topics in Samuel Müller’s work include Statistical Methods and Inference (32 papers), Advanced Statistical Methods and Models (18 papers) and Statistical Methods and Bayesian Inference (17 papers). Samuel Müller is often cited by papers focused on Statistical Methods and Inference (32 papers), Advanced Statistical Methods and Models (18 papers) and Statistical Methods and Bayesian Inference (17 papers). Samuel Müller collaborates with scholars based in Australia, Switzerland and United States. Samuel Müller's co-authors include A. H. Welsh, Janice L. Scealy, Francis K. C. Hui, Ioannis K. Karoussis, Lisa J. A. Heitz‐Mayfield, Urs Brägger, Niklaus P. Lang, Giovanni E. Salvi, Ke Xu and Agnès Glaus and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Samuel Müller i

Fields of papers citing papers by Samuel Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Samuel Müller

Since Specialization
Citations

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).

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.

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