Friedrich Gebhardt

25 papers and 161 indexed citations i.

About

Friedrich Gebhardt is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Statistics and Probability. According to data from OpenAlex, Friedrich Gebhardt has authored 25 papers receiving a total of 161 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 5 papers in Statistics and Probability. Recurrent topics in Friedrich Gebhardt’s work include Semantic Web and Ontologies (4 papers), Advanced Statistical Methods and Models (3 papers) and Algorithms and Data Compression (3 papers). Friedrich Gebhardt is often cited by papers focused on Semantic Web and Ontologies (4 papers), Advanced Statistical Methods and Models (3 papers) and Algorithms and Data Compression (3 papers). Friedrich Gebhardt collaborates with scholars based in Germany. Friedrich Gebhardt's co-authors include Wolfgang Gräther, Angi Voß, Barbara Schmidt-Belz and H. Fiedler 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 Friedrich Gebhardt i

Fields of papers citing papers by Friedrich Gebhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Friedrich Gebhardt

Since Specialization
Citations

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