Sebastian Gehrmann

45 papers and 1.7k indexed citations i.

About

Sebastian Gehrmann is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Sebastian Gehrmann has authored 45 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Molecular Biology. Recurrent topics in Sebastian Gehrmann’s work include Topic Modeling (20 papers), Natural Language Processing Techniques (14 papers) and Multimodal Machine Learning Applications (4 papers). Sebastian Gehrmann is often cited by papers focused on Topic Modeling (20 papers), Natural Language Processing Techniques (14 papers) and Multimodal Machine Learning Applications (4 papers). Sebastian Gehrmann collaborates with scholars based in United States, Germany and Israel. Sebastian Gehrmann's co-authors include Alexander M. Rush, Hendrik Strobelt, Yuntian Deng, Hanspeter Pfister, Ankur P. Parikh, Adam Perer, Michael Behrisch, Thibault Sellam, Yonatan Belinkov and Stuart M. Shieber and has published in prestigious journals such as PLoS ONE, Journal of Medical Internet Research and Nature Biomedical Engineering.

In The Last Decade

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

Fields of papers citing papers by Sebastian Gehrmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sebastian Gehrmann

Since Specialization
Citations

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