Teresa Herrmann

About

Teresa Herrmann is a scholar working on Artificial Intelligence, Language and Linguistics and Industrial relations. According to data from OpenAlex, Teresa Herrmann has authored 15 papers receiving a total of 141 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 1 paper in Language and Linguistics and 0 papers in Industrial relations. Recurrent topics in Teresa Herrmann’s work include Natural Language Processing Techniques (15 papers), Topic Modeling (15 papers) and Speech and dialogue systems (7 papers). Teresa Herrmann is often cited by papers focused on Natural Language Processing Techniques (15 papers), Topic Modeling (15 papers) and Speech and dialogue systems (7 papers). Teresa Herrmann collaborates with scholars based in Germany, United States and Italy. Teresa Herrmann's co-authors include Jan Niehues, Alex Waibel, Stephan Vogel, Eunah Cho, Sebastian Stüker, Giovanni Moretti, Michael Paul, Marcello Federico, Mauro Cettolo and Luisa Bentivogli and has published in prestigious journals such as Language Resources and Evaluation, RWTH Publications (RWTH Aachen) and Repository KITopen (Karlsruhe Institute of Technology).

In The Last Decade

Co-authorship network of co-authors of Teresa Herrmann i

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Fields of papers citing papers by Teresa Herrmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Teresa Herrmann

Since Specialization

Citations

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