Erik Berger

428 total citations
15 papers, 219 citations indexed

About

Erik Berger is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Erik Berger has authored 15 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Control and Systems Engineering, 6 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Erik Berger's work include Robot Manipulation and Learning (8 papers), Fault Detection and Control Systems (5 papers) and Human Pose and Action Recognition (4 papers). Erik Berger is often cited by papers focused on Robot Manipulation and Learning (8 papers), Fault Detection and Control Systems (5 papers) and Human Pose and Action Recognition (4 papers). Erik Berger collaborates with scholars based in Germany, United States and Sweden. Erik Berger's co-authors include Heni Ben Amor, David Vogt, Bernhard Jung, Jan Peters, Marco Ewerton, Gerhard Neumann, Luana Naia, Nuno Santos Leal, M. S. Shur and Jianping Liu and has published in prestigious journals such as Molecular Psychiatry, IEEE Transactions on Nuclear Science and Advanced Robotics.

In The Last Decade

Erik Berger

15 papers receiving 213 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Erik Berger Germany 9 108 59 53 29 29 15 219
Takashi Kohno Japan 14 40 0.4× 118 2.0× 61 1.2× 8 0.3× 7 0.2× 79 495
Andre Lemme Germany 11 128 1.2× 101 1.7× 15 0.3× 8 0.3× 12 0.4× 17 282
Ioannis Exarchos United States 10 59 0.5× 30 0.5× 29 0.5× 21 0.7× 7 0.2× 16 217
А. А. Овчинников Russia 7 20 0.2× 59 1.0× 70 1.3× 3 0.1× 9 0.3× 14 406
Yangyang Yu China 10 13 0.1× 25 0.4× 8 0.2× 29 1.0× 24 0.8× 34 366
Katsuhiko Shirai Japan 10 19 0.2× 139 2.4× 10 0.2× 8 0.3× 4 0.1× 68 302
Andrew U. Meyer United States 7 138 1.3× 30 0.5× 27 0.5× 6 0.2× 19 0.7× 22 287
Gamal M. Aly Egypt 11 75 0.7× 42 0.7× 6 0.1× 8 0.3× 9 0.3× 38 294
Yongjie Zhu Finland 11 31 0.3× 18 0.3× 5 0.1× 25 0.9× 14 0.5× 22 275
Mayur Mudigonda United States 6 53 0.5× 39 0.7× 3 0.1× 3 0.1× 9 0.3× 11 189

Countries citing papers authored by Erik Berger

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Erik Berger

This figure shows the co-authorship network connecting the top 25 collaborators of Erik Berger. A scholar is included among the top collaborators of Erik Berger 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 Erik Berger. Erik Berger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Vogt, David, Heni Ben Amor, Erik Berger, & Bernhard Jung. (2024). Learning Two-Person Interaction Models for Responsive Synthetic Humanoids. 11(1). 1 indexed citations
2.
Naia, Luana, Makoto Shimozawa, Erika Bereczki, et al.. (2023). Mitochondrial hypermetabolism precedes impaired autophagy and synaptic disorganization in App knock-in Alzheimer mouse models. Molecular Psychiatry. 28(9). 3966–3981. 34 indexed citations
3.
Berger, Erik, et al.. (2021). Feature-based Deep Learning of Proprioceptive Models for Robotic Force Estimation. 441. 128–134. 2 indexed citations
4.
Berger, Erik, et al.. (2019). Deep Learning of Proprioceptive Models for Robotic Force Estimation. 4258–4264. 1 indexed citations
5.
Berger, Erik, et al.. (2016). Estimating perturbations from experience using neural networks and Information Transfer. 11. 176–181. 5 indexed citations
6.
Pajarinen, Joni, et al.. (2016). Sparse Latent Space Policy Search. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 8 indexed citations
7.
Berger, Erik, et al.. (2016). Experience-based torque estimation for an industrial robot. 144–149. 10 indexed citations
8.
Berger, Erik, et al.. (2015). Estimation of perturbations in robotic behavior using dynamic mode decomposition. Advanced Robotics. 29(5). 331–343. 65 indexed citations
9.
10.
Berger, Erik, et al.. (2014). Dynamic Mode Decomposition for perturbation estimation in human robot interaction. 593–600. 12 indexed citations
11.
Neumann, Gerhard, et al.. (2014). Latent space policy search for robotics. Lincoln Repository (University of Lincoln). 1434–1440. 14 indexed citations
12.
Berger, Erik, et al.. (2013). Inferring guidance information in cooperative human-robot tasks. 124–129. 19 indexed citations
13.
Amor, Heni Ben, David Vogt, Marco Ewerton, et al.. (2013). Learning responsive robot behavior by imitation. 3257–3264. 24 indexed citations
14.
Berger, Erik, Heni Ben Amor, David Vogt, & Bernhard Jung. (2008). Towards a Simulator for Imitation Learning with Kinesthetic Bootstrapping. 7 indexed citations
15.
Shur, M. S., et al.. (1986). Charge Collection by Drift during Single Particle Upset. IEEE Transactions on Nuclear Science. 33(5). 1140–1146. 9 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.

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2026