Gerhard Tutz

16 papers and 2.4k indexed citations i.

About

Gerhard Tutz is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Gerhard Tutz has authored 16 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Statistics and Probability and 3 papers in Molecular Biology. Recurrent topics in Gerhard Tutz’s work include Neural Networks and Applications (3 papers), Bayesian Methods and Mixture Models (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). Gerhard Tutz is often cited by papers focused on Neural Networks and Applications (3 papers), Bayesian Methods and Mixture Models (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). Gerhard Tutz collaborates with scholars based in Germany, United States and Pakistan. Gerhard Tutz's co-authors include Carolin Strobl, James D. Malley, Ludwig Fahrmeir, Torsten Hothorn, Thomas Kneib, Anne‐Laure Boulesteix, Korbinian Strimmer, Jan Gertheiss, Nikolay Robinzonov and Iris Pigeot and has published in prestigious journals such as Bioinformatics, Biometrics and Psychological Methods.

In The Last Decade

Co-authorship network of co-authors of Gerhard Tutz i

Fields of papers citing papers by Gerhard Tutz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gerhard Tutz

Since Specialization
Citations

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