Moritz Tenorth

39 papers and 1.5k indexed citations i.

About

Moritz Tenorth is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Moritz Tenorth has authored 39 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 19 papers in Control and Systems Engineering and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Moritz Tenorth’s work include AI-based Problem Solving and Planning (18 papers), Semantic Web and Ontologies (14 papers) and Robotics and Automated Systems (12 papers). Moritz Tenorth is often cited by papers focused on AI-based Problem Solving and Planning (18 papers), Semantic Web and Ontologies (14 papers) and Robotics and Automated Systems (12 papers). Moritz Tenorth collaborates with scholars based in Germany, Spain and Japan. Moritz Tenorth's co-authors include Michael Beetz, Lorenz Mösenlechner, Dejan Pangercic, Alexander Perzylo, Dominik Jain, Ulrich Klank, J. M. M. Montiel, Dorian Gálvez‐López, Daniel Nyga and Lars Kunze and has published in prestigious journals such as Proceedings of the IEEE, Artificial Intelligence and The International Journal of Robotics Research.

In The Last Decade

Co-authorship network of co-authors of Moritz Tenorth i

Fields of papers citing papers by Moritz Tenorth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Moritz Tenorth

Since Specialization
Citations

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