Stefan Wermter

264 papers and 4.5k indexed citations i.

About

Stefan Wermter is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Stefan Wermter has authored 264 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 146 papers in Artificial Intelligence, 85 papers in Computer Vision and Pattern Recognition and 52 papers in Cognitive Neuroscience. Recurrent topics in Stefan Wermter’s work include Robot Manipulation and Learning (44 papers), Neural Networks and Applications (31 papers) and Reinforcement Learning in Robotics (31 papers). Stefan Wermter is often cited by papers focused on Robot Manipulation and Learning (44 papers), Neural Networks and Applications (31 papers) and Reinforcement Learning in Robotics (31 papers). Stefan Wermter collaborates with scholars based in Germany, United Kingdom and China. Stefan Wermter's co-authors include German I. Parisi, Ronald Kemker, Jose L. Part, Christopher Kanan, Cornelius Weber, Pablo Barros, Sven Magg, Tobias Hinz, Henrique Siqueira and Stefan Heinrich and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and ACM Computing Surveys.

In The Last Decade

Co-authorship network of co-authors of Stefan Wermter i

Fields of papers citing papers by Stefan Wermter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Stefan Wermter

Since Specialization
Citations

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