Jens Kober
About
In The Last Decade
Jens Kober
93 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Control and Systems Engineering 2.5k
- Artificial Intelligence 2.4k
- Biomedical Engineering 908
- Computer Vision and Pattern Recognition 835
- Computational Theory and Mathematics 444
Countries citing papers authored by Jens Kober
This map shows the geographic impact of Jens Kober'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 Jens Kober with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jens Kober more than expected).
Fields of papers citing papers by Jens Kober
This network shows the impact of papers produced by Jens Kober. 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 Jens Kober. The network helps show where Jens Kober may publish in the future.
Co-authorship network of co-authors of Jens Kober
This figure shows the co-authorship network connecting the top 25 collaborators of Jens Kober. A scholar is included among the top collaborators of Jens Kober 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 Jens Kober. Jens Kober is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | Challenges and Outlook in Robotic Manipulation of Deformable Objects breakdown → | 159 |
| 9 | 31 | |
| 10 | Learning Interactively to Resolve Ambiguity in Reference Frame Selection | 4 |
| 11 | 7 | |
| 12 | 44 | |
| 13 | Off-policy experience retention for deep actor-critic learning | 3 |
| 14 | The importance of experience replay database composition in deep reinforcement learning | 44 |
| 15 | Learning to Unscrew a Light Bulb from Demonstrations | 3 |
| 16 | Learning to Select and Generalize Striking Movements in Robot Table Tennis | 11 |
| 17 | Relative Entropy Inverse Reinforcement Learning | 143 |
| 18 | 57 | |
| 19 | 23 | |
| 20 | Using Bayesian Dynamical Systems for Motion Template Libraries | 15 |
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.