Gerhard Tutz

146 papers and 3.8k indexed citations i.

About

Gerhard Tutz is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Gerhard Tutz has authored 146 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Statistics and Probability, 29 papers in Management Science and Operations Research and 24 papers in Artificial Intelligence. Recurrent topics in Gerhard Tutz’s work include Statistical Methods and Inference (77 papers), Advanced Statistical Methods and Models (63 papers) and Statistical Methods and Bayesian Inference (57 papers). Gerhard Tutz is often cited by papers focused on Statistical Methods and Inference (77 papers), Advanced Statistical Methods and Models (63 papers) and Statistical Methods and Bayesian Inference (57 papers). Gerhard Tutz collaborates with scholars based in Germany, Pakistan and Italy. Gerhard Tutz's co-authors include Ludwig Fahrmeir, Harald Binder, Jan Gertheiss, Andreas Groll, Gunther Schauberger, Anne‐Laure Boulesteix, Matthias Schmid, Silke Janitza, Moritz Berger and Jochen Einbeck and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and Biometrika.

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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