Sebastian Hofstätter

About

Sebastian Hofstätter is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sebastian Hofstätter has authored 16 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 6 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sebastian Hofstätter’s work include Topic Modeling (15 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Natural Language Processing Techniques (6 papers). Sebastian Hofstätter is often cited by papers focused on Topic Modeling (15 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Natural Language Processing Techniques (6 papers). Sebastian Hofstätter collaborates with scholars based in Austria, United States and The Netherlands. Sebastian Hofstätter's co-authors include Allan Hanbury, Sheng-Chieh Lin, Jimmy Lin, Jheng-Hong Yang, Hamed Zamani, Bhaskar Mitra, Nick Craswell, Navid Rekabsaz, Carsten Eickhoff and K. S. Raman and has published in prestigious journals such as UCL Discovery (University College London), Leiden Repository (Leiden University) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Sebastian Hofstätter i

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Fields of papers citing papers by Sebastian Hofstätter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sebastian Hofstätter

Since Specialization

Citations

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