Ralf Herbrich

29 papers and 1.1k indexed citations i.

About

Ralf Herbrich is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Ralf Herbrich has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Ralf Herbrich’s work include Machine Learning and Algorithms (16 papers), Machine Learning and Data Classification (10 papers) and Neural Networks and Applications (9 papers). Ralf Herbrich is often cited by papers focused on Machine Learning and Algorithms (16 papers), Machine Learning and Data Classification (10 papers) and Neural Networks and Applications (9 papers). Ralf Herbrich collaborates with scholars based in United States, Germany and United Kingdom. Ralf Herbrich's co-authors include Thore Graepel, Matthias Seeger, Neil D. Lawrence, Arthur Gretton, Alexander J. Smola, Olivier Bousquet, Bernhard Schölkopf, John Shawe‐Taylor, Dan Roth and Shivani Agarwal and has published in prestigious journals such as IEEE Transactions on Information Theory, Machine Learning and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Ralf Herbrich i

Fields of papers citing papers by Ralf Herbrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ralf Herbrich

Since Specialization
Citations

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