Jochen J. Steil
- Control and Systems Engineering top 0.5%
- Artificial Intelligence top 1%
- Biomedical Engineering top 5%
- Cognitive Neuroscience top 2%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Matthias RolfFelix ReinhartMichael GiengerHelge RitterKlaus NeumannRobert HaschkeAndre LemmeManuel Mühlig
- Topics
- Robot Manipulation and Learning (78 papers)Neural Networks and Applications (41 papers)Neural Networks and Reservoir Computing (24 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Automatic Control
- Partner nations
- GermanyJapanUnited Kingdom
In The Last Decade
Jochen J. Steil
170 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 120
- Control and Systems Engineering 1.5k
- Artificial Intelligence 1.3k
- Biomedical Engineering 842
- Cognitive Neuroscience 666
- Computer Vision and Pattern Recognition 510
Countries citing papers authored by Jochen J. Steil
This map shows the geographic impact of Jochen J. Steil'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 Jochen J. Steil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jochen J. Steil more than expected).
Fields of papers citing papers by Jochen J. Steil
This network shows the impact of papers produced by Jochen J. Steil. 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 Jochen J. Steil. The network helps show where Jochen J. Steil may publish in the future.
Co-authorship network of co-authors of Jochen J. Steil
This figure shows the co-authorship network connecting the top 25 collaborators of Jochen J. Steil. A scholar is included among the top collaborators of Jochen J. Steil 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 Jochen J. Steil. Jochen J. Steil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Why criteria of decision fairness should be considered in robot design | 4 |
| 3 | Modelling of parameterized processes via regression in the model space. | 5 |
| 4 | Explorative learning of right inverse functions: theoretical implications of redundancy | 0 |
| 5 | Neurally Imprinted Stable Vector Fields | 14 |
| 6 | Learning visuo-motor coordination for pointing without depth calculation | 3 |
| 7 | Intrinsic Plasticity via Natural Gradient Descent | 4 |
| 8 | Reservoir regularization stabilizes learning of Echo State Networks with output feedback | 9 |
| 9 | 1 | |
| 10 | Efficient online learning of a non-negative sparse autoencoder | 18 |
| 11 | OOP: Object-Oriented-Priority for Motion Saliency Maps | 1 |
| 12 | Several ways to solve the MSO problem. | 9 |
| 13 | Intrinsic plasticity for reservoir learning algorithms. | 10 |
| 14 | Recent Trends in Online Learning for Cognitive Robotics | 2 |
| 15 | Stability of backpropagation-decorrelation efficient O(N) recurrent learning. | 9 |
| 16 | Local structural stability of recurrent networks with time-varying weights | 5 |
| 17 | Perspectives on learning with recurrent neural networks. | 13 |
| 18 | Local input-output stability of recurrent networks with time-varying weights | 2 |
| 19 | Maximisation of stability ranges for recurrent neural networks subject to on-line adaptation | 3 |
| 20 | Input-Output Stability of Recurrent Neural Networks with Delays using Circle Criteria | 5 |
About Jochen J. Steil
Jochen J. Steil is a scholar working on Control and Systems Engineering, Artificial Intelligence and Cognitive Neuroscience, having authored 175 papers that have together received 3.1k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (78 papers), Neural Networks and Applications (41 papers) and Neural Networks and Reservoir Computing (24 papers). The work is most often cited by research in Control and Systems Engineering (1.5k citations), Artificial Intelligence (1.3k citations) and Cognitive Neuroscience (666 citations). Jochen J. Steil has collaborated with scholars based in Germany, Japan and United Kingdom. Frequent co-authors include Matthias Rolf, Felix Reinhart, Michael Gienger, Helge Ritter, Klaus Neumann, Robert Haschke, Andre Lemme, Manuel Mühlig, Benjamin Schrauwen and Sebastian Wrede. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Automatic Control.
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.