Sebastian Riedel

117 papers and 6.6k indexed citations i.

About

Sebastian Riedel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Sebastian Riedel has authored 117 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Artificial Intelligence, 26 papers in Computer Vision and Pattern Recognition and 12 papers in Molecular Biology. Recurrent topics in Sebastian Riedel’s work include Topic Modeling (86 papers), Natural Language Processing Techniques (66 papers) and Multimodal Machine Learning Applications (19 papers). Sebastian Riedel is often cited by papers focused on Topic Modeling (86 papers), Natural Language Processing Techniques (66 papers) and Multimodal Machine Learning Applications (19 papers). Sebastian Riedel collaborates with scholars based in United Kingdom, United States and Israel. Sebastian Riedel's co-authors include Pontus Stenetorp, Pasquale Minervini, Tim Dettmers, Tim Rocktäschel, Patrick Lewis, Andrew McCallum, Fabio Petroni, Yuxiang Wu, Alexander Miller and Anton Bakhtin and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, BMC Bioinformatics and Sensors.

In The Last Decade

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

Fields of papers citing papers by Sebastian Riedel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sebastian Riedel

Since Specialization
Citations

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