Lisa Beinborn

17 papers and 119 indexed citations i.

About

Lisa Beinborn is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lisa Beinborn has authored 17 papers receiving a total of 119 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 2 papers in Cognitive Neuroscience and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lisa Beinborn’s work include Topic Modeling (12 papers), Natural Language Processing Techniques (12 papers) and Text Readability and Simplification (8 papers). Lisa Beinborn is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (12 papers) and Text Readability and Simplification (8 papers). Lisa Beinborn collaborates with scholars based in The Netherlands, Germany and Denmark. Lisa Beinborn's co-authors include Iryna Gurevych, Torsten Zesch, Nora Hollenstein, Lena A. Jäger, Steffen Eger, Raquel Fernández, Sandro Pezzelle, Taraka Rama, Ce Zhang and Maria Barrett and has published in prestigious journals such as Computational Linguistics, Transactions of the Association for Computational Linguistics and International Journal of Multilingualism.

In The Last Decade

Co-authorship network of co-authors of Lisa Beinborn i

Fields of papers citing papers by Lisa Beinborn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lisa Beinborn

Since Specialization
Citations

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