Sebastian Stüker

12 papers and 130 indexed citations i.

About

Sebastian Stüker is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sebastian Stüker has authored 12 papers receiving a total of 130 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 2 papers in Signal Processing and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Sebastian Stüker’s work include Natural Language Processing Techniques (8 papers), Speech Recognition and Synthesis (8 papers) and Topic Modeling (5 papers). Sebastian Stüker is often cited by papers focused on Natural Language Processing Techniques (8 papers), Speech Recognition and Synthesis (8 papers) and Topic Modeling (5 papers). Sebastian Stüker collaborates with scholars based in Germany, United States and Japan. Sebastian Stüker's co-authors include Marcello Federico, Michael Paul, Alex Waibel, Thanh-Le Ha, Markus Müller, Jan Niehues, Thai‐Son Nguyen, Christian Huber, Eunah Cho and Alexander Waibel and has published in prestigious journals such as Journal of Cheminformatics, International Conference on Computational Linguistics and Interspeech 2022.

In The Last Decade

Co-authorship network of co-authors of Sebastian Stüker i

Fields of papers citing papers by Sebastian Stüker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sebastian Stüker

Since Specialization
Citations

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