Erik Berger
Impact in
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning
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- Model Reduction and Neural Networks
Papers in
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- Robot Manipulation and Learning 8
- Fault Detection and Control Systems 5
- Human Motion and Animation 3
- Machine Fault Diagnosis Techniques 2
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- Reinforcement Learning in Robotics 3
- Anomaly Detection Techniques and Applications 3
- Co-authors
- Heni Ben Amor (12 shared papers)Bernhard Jung (10 shared papers)David Vogt (8 shared papers)Jan Peters (2 shared papers)Marco Ewerton (1 shared paper)Richeng Jiang (1 shared paper)Xidan Li (1 shared paper)Gerhard Neumann (1 shared paper)
- Journals
- Advanced Robotics (1 paper)Molecular Psychiatry (1 paper)IEEE Transactions on Nuclear Science (1 paper)Lincoln Repository (University of Lincoln) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- GermanyUnited StatesFinland
In The Last Decade
Erik Berger
15 papers receiving 220 citations
Peers
Comparison fields: 5 of 65
- Control and Systems Engineering 109
- Statistical and Nonlinear Physics 53
- Biological Psychiatry 7
- Statistics, Probability and Uncertainty 16
- Artificial Intelligence 59
Countries citing papers authored by Erik Berger
This map shows the geographic impact of Erik Berger'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 Erik Berger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik Berger more than expected).
Fields of papers citing papers by Erik Berger
This network shows the impact of papers produced by Erik Berger. 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 Erik Berger. The network helps show where Erik Berger may publish in the future.
Co-authors
The 22 scholars most cited alongside Erik Berger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 65 | |
| 2 | 2023 | 38 | |
| 3 | 2013 | 24 | |
| 4 | 2013 | 20 | |
| 5 | 2014 | 14 | |
| 6 | 2014 | 13 | |
| 7 | 2016 | 10 | |
| 8 | 2014 | 9 | |
| 9 | 1986 | 9 | |
| 10 | 2016 | 8 | |
| 11 | Towards a Simulator for Imitation Learning with Kinesthetic Bootstrapping | 2008 | 7 |
| 12 | 2016 | 5 | |
| 13 | 2021 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2019 | 1 |
About Erik Berger
Erik Berger is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Mechanical Engineering, having authored 15 papers that have together received 226 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (8 papers), Fault Detection and Control Systems (5 papers), Human Pose and Action Recognition (4 papers), Reinforcement Learning in Robotics (3 papers), Human Motion and Animation (3 papers), Anomaly Detection Techniques and Applications (3 papers), Hydraulic and Pneumatic Systems (2 papers) and Machine Fault Diagnosis Techniques (2 papers). The work is most often cited by research in Control and Systems Engineering (109 citations), Statistical and Nonlinear Physics (53 citations), Biological Psychiatry (7 citations), Statistics, Probability and Uncertainty (16 citations) and Artificial Intelligence (59 citations). Erik Berger has collaborated with scholars based in Germany, United States and Finland. Frequent co-authors include Heni Ben Amor, Bernhard Jung, David Vogt, Jan Peters, Marco Ewerton, Richeng Jiang, Xidan Li, Gerhard Neumann, Maria Ankarcrona and Erika Bereczki. Their work appears in journals such as Advanced Robotics, Molecular Psychiatry, IEEE Transactions on Nuclear Science, Lincoln Repository (University of Lincoln) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.