Miriam Butt

34 papers and 469 indexed citations i.

About

Miriam Butt is a scholar working on Artificial Intelligence, Language and Linguistics and Linguistics and Language. According to data from OpenAlex, Miriam Butt has authored 34 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 14 papers in Language and Linguistics and 8 papers in Linguistics and Language. Recurrent topics in Miriam Butt’s work include Natural Language Processing Techniques (21 papers), Syntax, Semantics, Linguistic Variation (9 papers) and Topic Modeling (9 papers). Miriam Butt is often cited by papers focused on Natural Language Processing Techniques (21 papers), Syntax, Semantics, Linguistic Variation (9 papers) and Topic Modeling (9 papers). Miriam Butt collaborates with scholars based in Germany, Pakistan and United Kingdom. Miriam Butt's co-authors include Michael Dukes, Wilhelm Geuder, Tracy Holloway King, Helge Dyvik, Hiroshi Masuichi, Christian Röhrer, Aditi Lahiri, Annette Hautli-Janisz, Daniel A. Keim and Tina Bögel and has published in prestigious journals such as Brain Research, Language and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Co-authorship network of co-authors of Miriam Butt i

Fields of papers citing papers by Miriam Butt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Miriam Butt

Since Specialization
Citations

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