Hans‐Georg Müller

About

Hans‐Georg Müller is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Hans‐Georg Müller has authored 24 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 4 papers in Artificial Intelligence and 3 papers in Molecular Biology. Recurrent topics in Hans‐Georg Müller’s work include Statistical Methods and Inference (9 papers), Statistical Methods and Bayesian Inference (5 papers) and Bayesian Methods and Mixture Models (4 papers). Hans‐Georg Müller is often cited by papers focused on Statistical Methods and Inference (9 papers), Statistical Methods and Bayesian Inference (5 papers) and Bayesian Methods and Mixture Models (4 papers). Hans‐Georg Müller collaborates with scholars based in United States, Germany and France. Hans‐Georg Müller's co-authors include Ulrich Stadtmüller, Damla Şentürk, Fang Yao, Rong Tang, Jonathan P. Evans, John A. D. Aston, Jane‐Ling Wang, Nicolas Verzélen, Heike Wiese and Philipp Krämer and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Biometrika.

In The Last Decade

Co-authorship network of co-authors of Hans‐Georg Müller i

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Fields of papers citing papers by Hans‐Georg Müller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Hans‐Georg Müller

Since Specialization

Citations

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).

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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