R. Michel

29 papers and 367 indexed citations i.

About

R. Michel is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, R. Michel has authored 29 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 8 papers in Management Science and Operations Research and 7 papers in Artificial Intelligence. Recurrent topics in R. Michel’s work include Bayesian Methods and Mixture Models (7 papers), Statistical Methods and Inference (7 papers) and Probability and Risk Models (7 papers). R. Michel is often cited by papers focused on Bayesian Methods and Mixture Models (7 papers), Statistical Methods and Inference (7 papers) and Probability and Risk Models (7 papers). R. Michel collaborates with scholars based in Germany. R. Michel's co-authors include J. Pfanzagl, Thomas Betsche, Manfred Grote, Georg Langenkämper, Wolfgang Heyser and Christian Hipp and has published in prestigious journals such as The Annals of Statistics, American Mathematical Monthly and The Annals of Probability.

In The Last Decade

Co-authorship network of co-authors of R. Michel i

Fields of papers citing papers by R. Michel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Michel. 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 R. Michel. The network helps show where R. Michel may publish in the future.

Countries citing papers authored by R. Michel

Since Specialization
Citations

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