Dorothea Koert

439 total citations
28 papers, 233 citations indexed

About

Dorothea Koert is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dorothea Koert has authored 28 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 19 papers in Control and Systems Engineering and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dorothea Koert's work include Robot Manipulation and Learning (19 papers), Reinforcement Learning in Robotics (17 papers) and Robotic Mechanisms and Dynamics (4 papers). Dorothea Koert is often cited by papers focused on Robot Manipulation and Learning (19 papers), Reinforcement Learning in Robotics (17 papers) and Robotic Mechanisms and Dynamics (4 papers). Dorothea Koert collaborates with scholars based in Germany, United States and United Kingdom. Dorothea Koert's co-authors include Jan Peters, Guilherme Maeda, Marco Ewerton, Rudolf Lioutikov, Gerhard Neumann, Constantin A. Rothkopf, Joni Pajarinen, Ruth Stock‐Homburg, Michael Lutter and Masaki Takahashi and has published in prestigious journals such as IEEE Transactions on Robotics, IEEE Robotics and Automation Letters and Autonomous Agents and Multi-Agent Systems.

In The Last Decade

Dorothea Koert

27 papers receiving 227 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dorothea Koert Germany 9 141 102 87 27 26 28 233
Simon Stepputtis United States 8 112 0.8× 78 0.8× 60 0.7× 30 1.1× 21 0.8× 20 213
S. Reza Ahmadzadeh United States 10 159 1.1× 96 0.9× 68 0.8× 30 1.1× 14 0.5× 24 234
Rika Antonova United States 9 119 0.8× 121 1.2× 110 1.3× 43 1.6× 12 0.5× 14 297
Tim Niemueller Germany 7 79 0.6× 88 0.9× 63 0.7× 14 0.5× 24 0.9× 12 187
Ingo Kresse Germany 7 149 1.1× 93 0.9× 96 1.1× 41 1.5× 40 1.5× 7 245
Adrian Li United States 6 119 0.8× 197 1.9× 110 1.3× 37 1.4× 55 2.1× 9 306
Tony Z. Zhao United States 3 136 1.0× 66 0.6× 67 0.8× 48 1.8× 12 0.5× 4 260
Manuel Mühlig Germany 10 191 1.4× 123 1.2× 78 0.9× 57 2.1× 44 1.7× 19 274
Zhenjia Xu China 3 123 0.9× 64 0.6× 84 1.0× 32 1.2× 6 0.2× 13 254
Riccardo Caccavale Italy 10 144 1.0× 57 0.6× 60 0.7× 50 1.9× 46 1.8× 23 247

Countries citing papers authored by Dorothea Koert

Since Specialization
Citations

This map shows the geographic impact of Dorothea Koert'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 Dorothea Koert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dorothea Koert more than expected).

Fields of papers citing papers by Dorothea Koert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dorothea Koert. 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 Dorothea Koert. The network helps show where Dorothea Koert may publish in the future.

Co-authorship network of co-authors of Dorothea Koert

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

All Works

20 of 20 papers shown
1.
Prasad, Vignesh, et al.. (2025). Learning Multimodal Latent Dynamics for Human–Robot Interaction. IEEE Transactions on Robotics. 41. 4418–4438.
2.
Carvalho, João Andrade de, et al.. (2025). Motion Planning Diffusion: Learning and Adapting Robot Motion Planning With Diffusion Models. IEEE Transactions on Robotics. 41. 4881–4901. 1 indexed citations
3.
Koert, Dorothea, et al.. (2025). Entropy based blending of policies for multi-agent coexistence. Autonomous Agents and Multi-Agent Systems. 39(1). 1 indexed citations
4.
Balfanz, Dirk, et al.. (2024). An Evaluation of Situational Autonomy for Human-AI Collaboration in a Shared Workspace Setting. TUbilio (Technical University of Darmstadt). 1–17. 4 indexed citations
5.
Prasad, Vignesh, et al.. (2024). MoVEInt: Mixture of Variational Experts for Learning Human–Robot Interactions From Demonstrations. IEEE Robotics and Automation Letters. 9(7). 6043–6050. 4 indexed citations
6.
Prasad, Vignesh, et al.. (2023). I³: Interactive Iterative Improvement for Few-Shot Action Segmentation. 378–385. 1 indexed citations
7.
Koert, Dorothea, et al.. (2023). Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models. 1916–1923. 44 indexed citations
8.
Koert, Dorothea, et al.. (2023). Interactively learning behavior trees from imperfect human demonstrations. Frontiers in Robotics and AI. 10. 1152595–1152595. 5 indexed citations
9.
Koert, Dorothea, et al.. (2022). ExGenNet: Learning to Generate Robotic Facial Expression Using Facial Expression Recognition. Frontiers in Robotics and AI. 8. 730317–730317. 8 indexed citations
10.
Koert, Dorothea, et al.. (2022). Adapting Object-Centric Probabilistic Movement Primitives with Residual Reinforcement Learning. 405–412. 3 indexed citations
11.
Rothkopf, Constantin A., et al.. (2022). Interactive Reinforcement Learning With Bayesian Fusion of Multimodal Advice. IEEE Robotics and Automation Letters. 7(3). 7558–7565. 8 indexed citations
12.
Koert, Dorothea, et al.. (2022). Integrated Bi-Manual Motion Generation and Control shaped for Probabilistic Movement Primitives. mediaTUM (Technical University of Munich). 202–209. 1 indexed citations
13.
Koert, Dorothea, et al.. (2020). Multi-Channel Interactive Reinforcement Learning for Sequential Tasks. Frontiers in Robotics and AI. 7. 13 indexed citations
14.
Ewerton, Marco, et al.. (2019). Learning Trajectory Distributions for Assisted Teleoperation and Path Planning. Frontiers in Robotics and AI. 6. 89–89. 11 indexed citations
15.
Koert, Dorothea, et al.. (2019). Learning Intention Aware Online Adaptation of Movement Primitives. IEEE Robotics and Automation Letters. 4(4). 3719–3726. 25 indexed citations
16.
Ewerton, Marco, et al.. (2019). Reinforcement Learning of Trajectory Distributions: Applications in Assisted Teleoperation and Motion Planning. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4294–4300. 8 indexed citations
17.
Koert, Dorothea, et al.. (2018). Online Learning of an Open-Ended Skill Library for Collaborative Tasks. Technischen Universität Darmstadt. 1–9. 11 indexed citations
18.
Koert, Dorothea, et al.. (2018). Learning Coupled Forward-Inverse Models with Combined Prediction Errors. Technischen Universität Darmstadt. 1250. 2433–2439. 1 indexed citations
19.
Koert, Dorothea, et al.. (2018). Utilizing Human Feedback in POMDP Execution and Specification. 65. 104–111. 4 indexed citations
20.
Maeda, Guilherme, Marco Ewerton, Dorothea Koert, & Jan Peters. (2016). Acquiring and Generalizing the Embodiment Mapping From Human Observations to Robot Skills. IEEE Robotics and Automation Letters. 1(2). 784–791. 17 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Simon Stepputtis Breakdown of academic impact, for papers by S. Reza Ahmadzadeh Breakdown of academic impact, for papers by Rika Antonova Breakdown of academic impact, for papers by Tim Niemueller Breakdown of academic impact, for papers by Ingo Kresse Breakdown of academic impact, for papers by Adrian Li Breakdown of academic impact, for papers by Tony Z. Zhao Breakdown of academic impact, for papers by Manuel Mühlig Breakdown of academic impact, for papers by Zhenjia Xu Breakdown of academic impact, for papers by Riccardo Caccavale
Rankless by CCL
2026