Ursula U. Müller

About

Ursula U. Müller is a scholar working on Statistics and Probability, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Ursula U. Müller has authored 32 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistics and Probability, 9 papers in Artificial Intelligence and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Ursula U. Müller’s work include Statistical Methods and Inference (27 papers), Statistical Methods and Bayesian Inference (20 papers) and Advanced Statistical Methods and Models (14 papers). Ursula U. Müller is often cited by papers focused on Statistical Methods and Inference (27 papers), Statistical Methods and Bayesian Inference (20 papers) and Advanced Statistical Methods and Models (14 papers). Ursula U. Müller collaborates with scholars based in United States, Germany and Belgium. Ursula U. Müller's co-authors include Anton Schίck, Wolfgang Wefelmeyer, Ingrid Van Keilegom, Lawrence M. Ward, Priscilla E. Greenwood, Raymond J. Carroll, Hira L. Koul, Nilanjan Chatterjee and Jiawei Wei and has published in prestigious journals such as Biometrika, The Annals of Statistics and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Co-authorship network of co-authors of Ursula U. Müller i

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Fields of papers citing papers by Ursula U. Müller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ursula U. 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 Ursula U. Müller. The network helps show where Ursula U. Müller may publish in the future.

Countries citing papers authored by Ursula U. Müller

Since Specialization

Citations

This map shows the geographic impact of Ursula U. 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 Ursula U. Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ursula U. 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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