Friedrich Leisch

133 papers and 6.5k indexed citations i.

About

Friedrich Leisch is a scholar working on Artificial Intelligence, Molecular Biology and Sociology and Political Science. According to data from OpenAlex, Friedrich Leisch has authored 133 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 24 papers in Molecular Biology and 15 papers in Sociology and Political Science. Recurrent topics in Friedrich Leisch’s work include Advanced Clustering Algorithms Research (13 papers), Bayesian Methods and Mixture Models (12 papers) and Gene expression and cancer classification (10 papers). Friedrich Leisch is often cited by papers focused on Advanced Clustering Algorithms Research (13 papers), Bayesian Methods and Mixture Models (12 papers) and Gene expression and cancer classification (10 papers). Friedrich Leisch collaborates with scholars based in Austria, Germany and Australia. Friedrich Leisch's co-authors include Kurt Hornik, Sara Dolničar, Bettina Grün, Achim Zeileis, Christian Kleiber, David Meyer, Manuel J. A. Eugster, Theresa Scharl, Victoria Stodden and Roger D. Peng and has published in prestigious journals such as Bioinformatics, PLoS ONE and Biological Psychiatry.

In The Last Decade

Co-authorship network of co-authors of Friedrich Leisch i

Fields of papers citing papers by Friedrich Leisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Friedrich Leisch

Since Specialization
Citations

This map shows the geographic impact of Friedrich Leisch'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 Friedrich Leisch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Friedrich Leisch 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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2025