Anne Lauscher

35 papers and 467 indexed citations i.

About

Anne Lauscher is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Anne Lauscher has authored 35 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 4 papers in Molecular Biology and 3 papers in Information Systems. Recurrent topics in Anne Lauscher’s work include Topic Modeling (27 papers), Natural Language Processing Techniques (20 papers) and Text Readability and Simplification (10 papers). Anne Lauscher is often cited by papers focused on Topic Modeling (27 papers), Natural Language Processing Techniques (20 papers) and Text Readability and Simplification (10 papers). Anne Lauscher collaborates with scholars based in Germany, Italy and United States. Anne Lauscher's co-authors include Goran Glavašš, Ivan Vulić, Vinit Ravishankar, Simone Paolo Ponzetto, Kai Eckert, Iryna Gurevych, Olga Majewska, Leonardo F. R. Ribeiro, Joel Tetreault and Anna Korhonen and has published in prestigious journals such as Science Advances, Transactions of the Association for Computational Linguistics and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Co-authorship network of co-authors of Anne Lauscher i

Fields of papers citing papers by Anne Lauscher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anne Lauscher

Since Specialization
Citations

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