Countries citing papers authored by Klaus Obermayer
Since
Specialization
Citations
This map shows the geographic impact of Klaus Obermayer'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 Klaus Obermayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klaus Obermayer more than expected).
This network shows the impact of papers produced by Klaus Obermayer. 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 Klaus Obermayer. The network helps show where Klaus Obermayer may publish in the future.
Co-authorship network of co-authors of Klaus Obermayer
This figure shows the co-authorship network connecting the top 25 collaborators of Klaus Obermayer.
A scholar is included among the top collaborators of Klaus Obermayer 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 Klaus Obermayer. Klaus Obermayer is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Böhmer, Wendelin, et al.. (2013). Construction of approximation spaces for reinforcement learning. Journal of Machine Learning Research. 14(1). 2067–2118.7 indexed citations
Murfi, Hendri & Klaus Obermayer. (2009). A two-level learning hierarchy of concept based keyword extraction for tag recommendations. 497. 201–214.10 indexed citations
6.
Obermayer, Klaus, et al.. (2008). Active Learning by Spherical Subdivision. Journal of Machine Learning Research. 9(5). 105–130.2 indexed citations
7.
Adiloğlu, Kamil, et al.. (2007). Classification Schemes for Step Sounds Based on Gammatone-Filters. Neural Information Processing Systems.1 indexed citations
8.
Vollgraf, Roland & Klaus Obermayer. (2006). Sparse Optimization for Second Order Kernel Methods. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 15. 145–152.5 indexed citations
9.
Adiloğlu, Kamil & Klaus Obermayer. (2005). FINDING SUBSEQUENCES OF MELODIES IN MUSICAL PIECES. The Journal of the Abraham Lincoln Association. 2005.1 indexed citations
10.
Purwins, H.‐G., Benjamin Blankertz, Klaus Obermayer, & Guido Dornhege. (2004). Scale Degree Profiles from Audio Investigated with Machine Learning. Journal of the Audio Engineering Society.4 indexed citations
11.
Girard, Agathe, et al.. (2003). Multiple-step ahead prediction for non linear dynamic systems: A Gaussian Process treatment with propagation of the uncertainty. Neural Information Processing Systems. 529–536.32 indexed citations
12.
Purwins, H.‐G., Benjamin Blankertz, & Klaus Obermayer. (2001). Constant Q Profiles for Tracking Modulations in Audio Data Format. The Journal of the Abraham Lincoln Association. 2001.1 indexed citations
13.
Blankertz, Benjamin, et al.. (2001). Constant Q Profiles for Tracking Modulations in Audio Data. International Computer Music Conference.10 indexed citations
14.
Obermayer, Klaus & Terrence J. Sejnowski. (2001). Self-Organizing Map Formation: Foundations of Neural Computation. MIT Press eBooks.15 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.