Joern Wuebker

26 papers and 293 indexed citations i.

About

Joern Wuebker is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Joern Wuebker has authored 26 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Joern Wuebker’s work include Topic Modeling (26 papers), Natural Language Processing Techniques (26 papers) and Speech and dialogue systems (6 papers). Joern Wuebker is often cited by papers focused on Topic Modeling (26 papers), Natural Language Processing Techniques (26 papers) and Speech and dialogue systems (6 papers). Joern Wuebker collaborates with scholars based in Germany, United States and United Kingdom. Joern Wuebker's co-authors include Hermann Ney, Tamer Alkhouli, Martin Sundermeyer, John DeNero, Stephan Peitz, Saab Mansour, Matthias Huck, Spence Green, Markus Freitag and Saša Hasan and has published in prestigious journals such as Target International Journal of Translation Studies, RWTH Publications (RWTH Aachen) and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Co-authorship network of co-authors of Joern Wuebker i

Fields of papers citing papers by Joern Wuebker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Joern Wuebker

Since Specialization
Citations

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