Eugen Beck

12 papers and 61 indexed citations i.

About

Eugen Beck is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Eugen Beck has authored 12 papers receiving a total of 61 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Eugen Beck’s work include Natural Language Processing Techniques (6 papers), Speech Recognition and Synthesis (5 papers) and Topic Modeling (4 papers). Eugen Beck is often cited by papers focused on Natural Language Processing Techniques (6 papers), Speech Recognition and Synthesis (5 papers) and Topic Modeling (4 papers). Eugen Beck collaborates with scholars based in Germany and France. Eugen Beck's co-authors include Ralf Schlüter, Hermann Ney, Albert Zeyer, Mirko Hannemann, Tamer Alkhouli, Kazuki Irie, Simon Berger, Pavel Golik and Wei Zhou and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Interspeech 2022 and 2022 IEEE Information Theory Workshop (ITW).

In The Last Decade

Co-authorship network of co-authors of Eugen Beck i

Fields of papers citing papers by Eugen Beck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eugen Beck

Since Specialization
Citations

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