Nils Reimers

27 papers and 4.4k indexed citations i.

About

Nils Reimers is a scholar working on Artificial Intelligence, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nils Reimers has authored 27 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 6 papers in Surgery and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nils Reimers’s work include Topic Modeling (14 papers), Natural Language Processing Techniques (11 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Nils Reimers is often cited by papers focused on Topic Modeling (14 papers), Natural Language Processing Techniques (11 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Nils Reimers collaborates with scholars based in Germany, Switzerland and United Kingdom. Nils Reimers's co-authors include Iryna Gurevych, Johannes Daxenberger, Nandan Thakur, Niklas Muennighoff, Andreas Rücklé, Christian Stab, Benjamin Schiller, Max Glockner, Mauricio Reyes and Miguel Á. González Ballester and has published in prestigious journals such as Clinical Orthopaedics and Related Research, Medical Image Analysis and Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Nils Reimers i

Fields of papers citing papers by Nils Reimers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nils Reimers

Since Specialization
Citations

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