Lea Frermann

25 papers and 200 indexed citations i.

About

Lea Frermann is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cultural Studies. According to data from OpenAlex, Lea Frermann has authored 25 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Cultural Studies. Recurrent topics in Lea Frermann’s work include Topic Modeling (13 papers), Natural Language Processing Techniques (13 papers) and Multimodal Machine Learning Applications (5 papers). Lea Frermann is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (13 papers) and Multimodal Machine Learning Applications (5 papers). Lea Frermann collaborates with scholars based in Australia, United Kingdom and Germany. Lea Frermann's co-authors include Mirella Lapata, Trevor Cohn, Ivan Titov, Manfred Pinkal, Timothy Baldwin, Frank Keller, Shay B. Cohen, György Szarvas, Afshin Rahimi and Maria Barrett and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Access and Cognitive Science.

In The Last Decade

Co-authorship network of co-authors of Lea Frermann i

Fields of papers citing papers by Lea Frermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lea Frermann

Since Specialization
Citations

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