Nadja Klein

About

Nadja Klein is a scholar working on Statistics and Probability, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Nadja Klein has authored 70 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Statistics and Probability, 22 papers in Artificial Intelligence and 17 papers in Economics and Econometrics. Recurrent topics in Nadja Klein’s work include Statistical Methods and Inference (32 papers), Statistical Methods and Bayesian Inference (22 papers) and Bayesian Methods and Mixture Models (16 papers). Nadja Klein is often cited by papers focused on Statistical Methods and Inference (32 papers), Statistical Methods and Bayesian Inference (22 papers) and Bayesian Methods and Mixture Models (16 papers). Nadja Klein collaborates with scholars based in Germany, Austria and Australia. Nadja Klein's co-authors include Thomas Kneib, Stefan Lang, Nikolaus Umlauf, Achim Zeileis, Marco Helbich, Peter Groenewegen, Hannah Roberts, Paulien Hagedoorn, Michael S. Smith and Stephan Klasen and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Annals of Neurology.

In The Last Decade

Co-authorship network of co-authors of Nadja Klein i

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Fields of papers citing papers by Nadja Klein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nadja Klein

Since Specialization

Citations

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