Sara Stymne

32 papers and 299 indexed citations i.

About

Sara Stymne is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sara Stymne has authored 32 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 3 papers in Information Systems and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Sara Stymne’s work include Natural Language Processing Techniques (32 papers), Topic Modeling (30 papers) and Text Readability and Simplification (11 papers). Sara Stymne is often cited by papers focused on Natural Language Processing Techniques (32 papers), Topic Modeling (30 papers) and Text Readability and Simplification (11 papers). Sara Stymne collaborates with scholars based in Sweden, Italy and Denmark. Sara Stymne's co-authors include Joakim Nivre, Miryam de Lhoneux, Lars Ahrenberg, Jörg Tiedemann, Christian Hardmeier, Aaron Smith, Preslav Nakov, Yannick Versley, Mauro Cettolo and Yan Shao and has published in prestigious journals such as Computational Linguistics, Language Resources and Evaluation and IEEE Transactions on Learning Technologies.

In The Last Decade

Co-authorship network of co-authors of Sara Stymne i

Fields of papers citing papers by Sara Stymne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sara Stymne

Since Specialization
Citations

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