Gerhard Neumann

227 papers and 3.2k indexed citations i.

About

Gerhard Neumann is a scholar working on Artificial Intelligence, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Gerhard Neumann has authored 227 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Artificial Intelligence, 70 papers in Control and Systems Engineering and 33 papers in Biomedical Engineering. Recurrent topics in Gerhard Neumann’s work include Reinforcement Learning in Robotics (62 papers), Robot Manipulation and Learning (58 papers) and German Literature and Culture Studies (16 papers). Gerhard Neumann is often cited by papers focused on Reinforcement Learning in Robotics (62 papers), Robot Manipulation and Learning (58 papers) and German Literature and Culture Studies (16 papers). Gerhard Neumann collaborates with scholars based in Germany, United Kingdom and United States. Gerhard Neumann's co-authors include Jan Peters, Christian Daniel, Alexandros Paraschos, Rudolf Lioutikov, Oliver Kroemer, Guilherme Maeda, Takayuki Osa, Joni Pajarinen, Herke van Hoof and J. Andrew Bagnell and has published in prestigious journals such as Remote Sensing of Environment, Computer Methods in Applied Mechanics and Engineering and Bulletin of the American Meteorological Society.

In The Last Decade

Co-authorship network of co-authors of Gerhard Neumann i

Fields of papers citing papers by Gerhard Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gerhard Neumann

Since Specialization
Citations

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