Elmar Rueckert

About

Elmar Rueckert is a scholar working on Artificial Intelligence, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Elmar Rueckert has authored 28 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Control and Systems Engineering and 8 papers in Biomedical Engineering. Recurrent topics in Elmar Rueckert’s work include Robot Manipulation and Learning (11 papers), Reinforcement Learning in Robotics (11 papers) and Muscle activation and electromyography studies (5 papers). Elmar Rueckert is often cited by papers focused on Robot Manipulation and Learning (11 papers), Reinforcement Learning in Robotics (11 papers) and Muscle activation and electromyography studies (5 papers). Elmar Rueckert collaborates with scholars based in Germany, Austria and Slovenia. Elmar Rueckert's co-authors include Jan Peters, Gerhard Neumann, Alexandros Paraschos, David Kappel, Dejan Pecevski, Jan Babič, Heinz Koeppl, Michael Mistry, Ralf Bruder and Martje G. Pauly and has published in prestigious journals such as Scientific Reports, Sensors and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Elmar Rueckert i

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Fields of papers citing papers by Elmar Rueckert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Elmar Rueckert

Since Specialization

Citations

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