Ludwig Fahrmeir

100 papers and 4.7k indexed citations i.

About

Ludwig Fahrmeir is a scholar working on Statistics and Probability, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Ludwig Fahrmeir has authored 100 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Statistics and Probability, 30 papers in Artificial Intelligence and 16 papers in Economics and Econometrics. Recurrent topics in Ludwig Fahrmeir’s work include Statistical Methods and Inference (38 papers), Statistical Methods and Bayesian Inference (38 papers) and Bayesian Methods and Mixture Models (23 papers). Ludwig Fahrmeir is often cited by papers focused on Statistical Methods and Inference (38 papers), Statistical Methods and Bayesian Inference (38 papers) and Bayesian Methods and Mixture Models (23 papers). Ludwig Fahrmeir collaborates with scholars based in Germany, United States and United Kingdom. Ludwig Fahrmeir's co-authors include Gerhard Tutz, Thomas Kneib, Stefan Lang, Gerhard Tutz, Heinz Kaufmann, Brian P. Marx, Stefan Lang, Michael S. Smith, S. B. Adebayo and Andreas Brezger and has published in prestigious journals such as Journal of the American Statistical Association, NeuroImage and Biometrics.

In The Last Decade

Co-authorship network of co-authors of Ludwig Fahrmeir i

Fields of papers citing papers by Ludwig Fahrmeir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ludwig Fahrmeir

Since Specialization
Citations

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