Ricardo Usbeck

32 papers and 370 indexed citations i.

About

Ricardo Usbeck is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Ricardo Usbeck has authored 32 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 8 papers in Management Science and Operations Research and 6 papers in Information Systems. Recurrent topics in Ricardo Usbeck’s work include Topic Modeling (22 papers), Natural Language Processing Techniques (17 papers) and Semantic Web and Ontologies (13 papers). Ricardo Usbeck is often cited by papers focused on Topic Modeling (22 papers), Natural Language Processing Techniques (17 papers) and Semantic Web and Ontologies (13 papers). Ricardo Usbeck collaborates with scholars based in Germany, United States and Egypt. Ricardo Usbeck's co-authors include Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Michael Röder, Sebastian Walter, Edgard Marx, Konrad Höffner, Dániel Gerber, Andreas Both, Priyansh Trivedi and Gaurav Maheshwari and has published in prestigious journals such as IEEE Access, Language Resources and Evaluation and Journal of Web Semantics.

In The Last Decade

Co-authorship network of co-authors of Ricardo Usbeck i

Fields of papers citing papers by Ricardo Usbeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ricardo Usbeck

Since Specialization
Citations

This map shows the geographic impact of Ricardo Usbeck'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 Ricardo Usbeck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ricardo Usbeck 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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2025