Samuel Läubli

7 papers and 282 indexed citations i.

About

Samuel Läubli is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Samuel Läubli has authored 7 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Signal Processing. Recurrent topics in Samuel Läubli’s work include Topic Modeling (6 papers), Natural Language Processing Techniques (6 papers) and Text Readability and Simplification (3 papers). Samuel Läubli is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (6 papers) and Text Readability and Simplification (3 papers). Samuel Läubli collaborates with scholars based in Switzerland, United Kingdom and United States. Samuel Läubli's co-authors include Rico Sennrich, Martin Volk, Julian Hitschler, Barry Haddow, Maria Nădejde, Kyunghyun Cho, Antonio Valerio Miceli Barone, Alexandra Birch, Marcin Junczys-Dowmunt and Orhan Fırat and has published in prestigious journals such as Journal of Artificial Intelligence Research, Target International Journal of Translation Studies and Zurich Open Repository and Archive (University of Zurich).

In The Last Decade

Co-authorship network of co-authors of Samuel Läubli i

Fields of papers citing papers by Samuel Läubli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Samuel Läubli

Since Specialization
Citations

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