Noëmi Aepli

8 papers and 96 indexed citations i.

About

Noëmi Aepli is a scholar working on Artificial Intelligence, Language and Linguistics and Industrial relations. According to data from OpenAlex, Noëmi Aepli has authored 8 papers receiving a total of 96 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Language and Linguistics and 0 papers in Industrial relations. Recurrent topics in Noëmi Aepli’s work include Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Authorship Attribution and Profiling (2 papers). Noëmi Aepli is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Authorship Attribution and Profiling (2 papers). Noëmi Aepli collaborates with scholars based in Switzerland, United Kingdom and Slovenia. Noëmi Aepli's co-authors include Yves Scherrer, Marcos Zampieri, Nikola Ljubešić, Preslav Nakov, Jörg Tiedemann, Shervin Malmasi, Ahmed Ali, Nora Hollenstein, Rico Sennrich and Annette Rios and has published in prestigious journals such as Zurich Open Repository and Archive (University of Zurich), arXiv (Cornell University) and Research Portal Denmark.

In The Last Decade

Co-authorship network of co-authors of Noëmi Aepli i

Fields of papers citing papers by Noëmi Aepli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Noëmi Aepli

Since Specialization
Citations

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