This map shows the geographic impact of Stefan Klanke'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 Klanke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Klanke more than expected).
This network shows the impact of papers produced by Stefan Klanke. 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 Klanke. The network helps show where Stefan Klanke may publish in the future.
Co-authorship network of co-authors of Stefan Klanke
This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Klanke.
A scholar is included among the top collaborators of Stefan Klanke based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Stefan Klanke. Stefan Klanke is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Klanke, Stefan, et al.. (2009). Realising Dextrous Manipulation with Structured Manifolds using Unsupervised Kernel Regression with Structural Hints. PUB – Publications at Bielefeld University (Bielefeld University).6 indexed citations
10.
Howard, Matthew, Stefan Klanke, Michael Gienger, Christian Goerick, & Sethu Vijayakumar. (2009). ICRA '09. IEEE International Conference on Robotics and Automation, 2009.16 indexed citations
11.
Williams, Christopher K. I., Stefan Klanke, Sethu Vijayakumar, & Kian Ming A. Chai. (2008). Multi-task Gaussian Process Learning of Robot Inverse Dynamics. Neural Information Processing Systems. 21. 265–272.58 indexed citations
12.
Klanke, Stefan, Sethu Vijayakumar, & Stefan Schaal. (2008). A Library for Locally Weighted Projection Regression. Journal of Machine Learning Research. 9(21). 623–626.54 indexed citations
Mitrović, Dejan, Stefan Klanke, & Sethu Vijayakumar. (2007). Neural Information Processing Conference (NIPS 2007) : Workshop on Robotics Challenges for Machine Learning.1 indexed citations
17.
Klanke, Stefan & Helge Ritter. (2006). Variants of Unsupervised Kernel Regression: General cost functions.. PUB – Publications at Bielefeld University (Bielefeld University). 581–586.2 indexed citations
Klanke, Stefan & Helge Ritter. (2005). PSOM+ : Parametrized Self-Organizing Maps for noisy and incomplete data. PUB – Publications at Bielefeld University (Bielefeld University).3 indexed citations
20.
Meinicke, Peter, Stefan Klanke, Roland Memisevic, & Helge Ritter. (2005). Principal surfaces from unsupervised kernel regression. IEEE Transactions on Pattern Analysis and Machine Intelligence. 27(9). 1379–1391.47 indexed citations
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.