Hans‐Georg Müller

251 papers and 13.9k indexed citations i.

About

Hans‐Georg Müller is a scholar working on Statistics and Probability, Artificial Intelligence and Insect Science. According to data from OpenAlex, Hans‐Georg Müller has authored 251 papers receiving a total of 13.9k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Statistics and Probability, 42 papers in Artificial Intelligence and 27 papers in Insect Science. Recurrent topics in Hans‐Georg Müller’s work include Statistical Methods and Inference (98 papers), Statistical Methods and Bayesian Inference (43 papers) and Bayesian Methods and Mixture Models (32 papers). Hans‐Georg Müller is often cited by papers focused on Statistical Methods and Inference (98 papers), Statistical Methods and Bayesian Inference (43 papers) and Bayesian Methods and Mixture Models (32 papers). Hans‐Georg Müller collaborates with scholars based in United States, Germany and Taiwan. Hans‐Georg Müller's co-authors include Grace Wahba, Jane-Ling Wang, Fang Yao, Jeng‐Min Chiou, Ulrich Stadtmüller, Jun Fan, Irène Gijbels, James R. Carey, Peter Hall and Jane‐Ling Wang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Statistical Association.

In The Last Decade

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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025