Thomas Rühr

About

Thomas Rühr is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Thomas Rühr has authored 14 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Aerospace Engineering, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Thomas Rühr’s work include Robotics and Sensor-Based Localization (7 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Robotic Path Planning Algorithms (5 papers). Thomas Rühr is often cited by papers focused on Robotics and Sensor-Based Localization (7 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Robotic Path Planning Algorithms (5 papers). Thomas Rühr collaborates with scholars based in Germany, United States and Denmark. Thomas Rühr's co-authors include Michael Beetz, Dejan Pangercic, Moritz Tenorth, Alexis Maldonado, Ulrich Klank, Ingo Kresse, Lorenz Mösenlechner, Nico Blodow, Zoltán-Csaba Márton and Torsten Kröger and has published in prestigious journals such as Advanced Engineering Informatics, CiteSeer X (The Pennsylvania State University) and mediaTUM (Technical University of Munich).

In The Last Decade

Co-authorship network of co-authors of Thomas Rühr i

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Fields of papers citing papers by Thomas Rühr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Thomas Rühr

Since Specialization

Citations

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