Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication
Countries citing papers authored by Herbert Jaeger
Since
Specialization
Citations
This map shows the geographic impact of Herbert Jaeger'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 Herbert Jaeger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Herbert Jaeger more than expected).
This network shows the impact of papers produced by Herbert Jaeger. 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 Herbert Jaeger. The network helps show where Herbert Jaeger may publish in the future.
Co-authorship network of co-authors of Herbert Jaeger
This figure shows the co-authorship network connecting the top 25 collaborators of Herbert Jaeger.
A scholar is included among the top collaborators of Herbert Jaeger 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 Herbert Jaeger. Herbert Jaeger is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
He, Xu & Herbert Jaeger. (2018). Overcoming Catastrophic Interference using Conceptor-Aided Backpropagation. International Conference on Learning Representations.29 indexed citations
3.
Jaeger, Herbert. (2017). Using conceptors to manage neural long-term memories for temporal patterns. Journal of Machine Learning Research. 18(1). 387–429.16 indexed citations
Thon, Michael R. & Herbert Jaeger. (2015). Links between multiplicity automata, observable operator models and predictive state representations: a unified learning framework. Journal of Machine Learning Research. 16(1). 103–147.8 indexed citations
Wagner, Christoph, et al.. (2008). A 77-GHz FMCW radar system based on an RF frontend manufactured in a Silicon-Germanium technology. 74–79.14 indexed citations
15.
Jaeger, Herbert. (2007). Discovering multiscale dynamical features with hierarchical Echo State Networks. 66(9). 915–9.58 indexed citations
16.
Jaeger, Herbert, et al.. (2007). Optimization and applications of echo state networks with leaky- integrator neurons. Neural Networks. 20(3). 335–352.626 indexed citations breakdown →
17.
Jaeger, Herbert. (2006). Generating exponentially many periodic attractors with linearly growing Echo State Networks.3 indexed citations
18.
Lukoševičius, Mantas, et al.. (2006). Time Warping Invariant Echo State Networks.30 indexed citations
19.
Christaller, Thomas, et al.. (2001). GMD-Robots. 579–582.1 indexed citations
20.
Jaeger, Herbert. (1998). A Short Introduction To Observable Operator Models Of Stochastic Processes. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).2 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.