Ulrich Germann

30 papers and 574 indexed citations i.

About

Ulrich Germann is a scholar working on Artificial Intelligence, Language and Linguistics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ulrich Germann has authored 30 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 4 papers in Language and Linguistics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ulrich Germann’s work include Natural Language Processing Techniques (27 papers), Topic Modeling (24 papers) and Semantic Web and Ontologies (6 papers). Ulrich Germann is often cited by papers focused on Natural Language Processing Techniques (27 papers), Topic Modeling (24 papers) and Semantic Web and Ontologies (6 papers). Ulrich Germann collaborates with scholars based in United Kingdom, United States and Canada. Ulrich Germann's co-authors include Alexandra Birch, Kenneth Heafield, Kevin Knight, Barry Haddow, Kenji Yamada, Daniel Marcu, Antonio Valerio Miceli Barone, Rico Sennrich, Nikolay Bogoychev and Roman Grundkiewicz and has published in prestigious journals such as Artificial Intelligence, Machine Translation and ACM Transactions on Asian Language Information Processing.

In The Last Decade

Co-authorship network of co-authors of Ulrich Germann i

Fields of papers citing papers by Ulrich Germann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ulrich Germann

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025