Alexander Meister

30 papers and 622 indexed citations i.

About

Alexander Meister is a scholar working on Statistics and Probability, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Alexander Meister has authored 30 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 8 papers in Control and Systems Engineering. Recurrent topics in Alexander Meister’s work include Statistical Methods and Inference (24 papers), Bayesian Methods and Mixture Models (7 papers) and Control Systems and Identification (7 papers). Alexander Meister is often cited by papers focused on Statistical Methods and Inference (24 papers), Bayesian Methods and Mixture Models (7 papers) and Control Systems and Identification (7 papers). Alexander Meister collaborates with scholars based in Germany, Australia and United Kingdom. Alexander Meister's co-authors include Aurore Delaigle, Peter Hall, Markus Reiß, Hajo Holzmann, Jens‐Peter Kreiß, Stefan Hoderlein, Ulrich Stadtmüller, Christian Wagner, Jeroen V.K. Rombouts and Friedrich Liese and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Econometrics and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of Alexander Meister i

Fields of papers citing papers by Alexander Meister

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alexander Meister

Since Specialization
Citations

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