Ines Rehbein

33 papers and 205 indexed citations i.

About

Ines Rehbein is a scholar working on Artificial Intelligence, Language and Linguistics and General Social Sciences. According to data from OpenAlex, Ines Rehbein has authored 33 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 4 papers in Language and Linguistics and 3 papers in General Social Sciences. Recurrent topics in Ines Rehbein’s work include Natural Language Processing Techniques (27 papers), Topic Modeling (27 papers) and Text Readability and Simplification (9 papers). Ines Rehbein is often cited by papers focused on Natural Language Processing Techniques (27 papers), Topic Modeling (27 papers) and Text Readability and Simplification (9 papers). Ines Rehbein collaborates with scholars based in Germany, Ireland and United States. Ines Rehbein's co-authors include Josef Ruppenhofer, Yannick Versley, Josef van Genabith, Julian Hitschler, Esther van den Berg, Jennifer Foster, Heike Wiese, Reut Tsarfaty, Yoav Goldberg and Lamia Tounsi and has published in prestigious journals such as Lingua, Language Resources and Evaluation and IEEE Transactions on Learning Technologies.

In The Last Decade

Co-authorship network of co-authors of Ines Rehbein i

Fields of papers citing papers by Ines Rehbein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ines Rehbein

Since Specialization
Citations

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