Clara Meister

34 papers and 377 indexed citations i.

About

Clara Meister is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Clara Meister has authored 34 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 6 papers in Cognitive Neuroscience and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Clara Meister’s work include Natural Language Processing Techniques (23 papers), Topic Modeling (21 papers) and Text Readability and Simplification (8 papers). Clara Meister is often cited by papers focused on Natural Language Processing Techniques (23 papers), Topic Modeling (21 papers) and Text Readability and Simplification (8 papers). Clara Meister collaborates with scholars based in Switzerland, United Kingdom and United States. Clara Meister's co-authors include Ryan Cotterell, Tim Vieira, Tiago Pimentel, Pinjia He, Zhendong Su, Roger Lévy, Elizabeth Salesky, Lena A. Jäger, Roger Wattenhofer and Patrick Haller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cognition and Transactions of the Association for Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Clara Meister i

Fields of papers citing papers by Clara Meister

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Clara Meister

Since Specialization
Citations

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