Marco Ewerton

791 total citations
22 papers, 512 citations indexed

About

Marco Ewerton is a scholar working on Control and Systems Engineering, Artificial Intelligence and Social Psychology. According to data from OpenAlex, Marco Ewerton has authored 22 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Control and Systems Engineering, 8 papers in Artificial Intelligence and 6 papers in Social Psychology. Recurrent topics in Marco Ewerton's work include Robot Manipulation and Learning (19 papers), Reinforcement Learning in Robotics (7 papers) and Social Robot Interaction and HRI (5 papers). Marco Ewerton is often cited by papers focused on Robot Manipulation and Learning (19 papers), Reinforcement Learning in Robotics (7 papers) and Social Robot Interaction and HRI (5 papers). Marco Ewerton collaborates with scholars based in Germany, Switzerland and Japan. Marco Ewerton's co-authors include Jan Peters, Guilherme Maeda, Gerhard Neumann, Rudolf Lioutikov, Heni Ben Amor, Oliver Kroemer, Dorothea Koert, Masaki Takahashi, Josef Wiemeyer and David Vogt and has published in prestigious journals such as The International Journal of Robotics Research, Autonomous Robots and IEEE Robotics and Automation Letters.

In The Last Decade

Marco Ewerton

20 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Ewerton Germany 12 374 176 122 122 95 22 512
Jonathan Bohren United States 6 266 0.7× 132 0.8× 173 1.4× 98 0.8× 61 0.6× 8 524
Alexandros Paraschos Germany 12 506 1.4× 321 1.8× 162 1.3× 183 1.5× 34 0.4× 19 658
Kuu‐Young Young Taiwan 12 180 0.5× 86 0.5× 129 1.1× 169 1.4× 22 0.2× 61 443
João Silvério Italy 13 511 1.4× 215 1.2× 123 1.0× 184 1.5× 28 0.3× 31 638
David Gossow Germany 6 199 0.5× 51 0.3× 208 1.7× 46 0.4× 53 0.6× 8 463
Daniel Sidobre France 11 319 0.9× 52 0.3× 199 1.6× 92 0.8× 91 1.0× 28 428
Wesley P. Chan Canada 13 297 0.8× 69 0.4× 182 1.5× 90 0.7× 181 1.9× 36 527
Rudolf Lioutikov Germany 15 471 1.3× 271 1.5× 184 1.5× 155 1.3× 73 0.8× 24 661
Jim Mainprice United States 9 330 0.9× 97 0.6× 173 1.4× 103 0.8× 128 1.3× 15 495
Siddarth Jain United States 9 190 0.5× 62 0.4× 71 0.6× 86 0.7× 88 0.9× 32 406

Countries citing papers authored by Marco Ewerton

Since Specialization
Citations

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

Fields of papers citing papers by Marco Ewerton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Ewerton

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Ewerton. A scholar is included among the top collaborators of Marco Ewerton 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 Marco Ewerton. Marco Ewerton 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.
2.
Ewerton, Marco, et al.. (2022). Assisted teleoperation in changing environments with a mixture of virtual guides. Technischen Universität Darmstadt.
3.
Ewerton, Marco, et al.. (2021). An Efficient Image-to-Image Translation HourGlass-based Architecture for Object Pushing Policy Learning. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 3478–3484. 4 indexed citations
4.
Takahashi, Masaki, et al.. (2020). Plucking Motions for Tea Harvesting Robots Using Probabilistic Movement Primitives. IEEE Robotics and Automation Letters. 5(2). 3275–3282. 30 indexed citations
5.
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
6.
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
7.
Koert, Dorothea, et al.. (2019). Incremental Learning of an Open-Ended Collaborative Skill Library. International Journal of Humanoid Robotics. 17(1). 2050001–2050001. 4 indexed citations
8.
Koert, Dorothea, et al.. (2018). Online Learning of an Open-Ended Skill Library for Collaborative Tasks. Technischen Universität Darmstadt. 1–9. 11 indexed citations
9.
Ewerton, Marco, et al.. (2018). Assisting Movement Training and Execution With Visual and Haptic Feedback. Frontiers in Neurorobotics. 12. 24–24. 12 indexed citations
10.
Paraschos, Alexandros, et al.. (2017). Prediction of Intention during Interaction with iCub with Probabilistic Movement Primitives. Frontiers in Robotics and AI. 4. 14 indexed citations
11.
Maeda, Guilherme, et al.. (2016). Anticipative Interaction Primitives for Human-Robot Collaboration.. National Conference on Artificial Intelligence. 4 indexed citations
12.
Ewerton, Marco, et al.. (2016). Incremental imitation learning of context-dependent motor skills. 14 indexed citations
13.
Ewerton, Marco, et al.. (2016). Movement primitives with multiple phase parameters. Lincoln Repository (University of Lincoln). 201–206. 3 indexed citations
14.
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
15.
Maeda, Guilherme, Gerhard Neumann, Marco Ewerton, et al.. (2016). Probabilistic movement primitives for coordination of multiple human–robot collaborative tasks. Autonomous Robots. 41(3). 593–612. 139 indexed citations
16.
Ewerton, Marco, Guilherme Maeda, Jan Peters, & Gerhard Neumann. (2015). Learning motor skills from partially observed movements executed at different speeds. Lincoln Repository (University of Lincoln). 456–463. 13 indexed citations
17.
Ewerton, Marco, Gerhard Neumann, Rudolf Lioutikov, et al.. (2015). Learning multiple collaborative tasks with a mixture of Interaction Primitives. Lincoln Repository (University of Lincoln). 1535–1542. 64 indexed citations
18.
Maeda, Guilherme, Marco Ewerton, Rudolf Lioutikov, et al.. (2014). Learning interaction for collaborative tasks with probabilistic movement primitives. Lincoln Repository (University of Lincoln). 527–534. 64 indexed citations
19.
Amor, Heni Ben, David Vogt, Marco Ewerton, et al.. (2013). Learning responsive robot behavior by imitation. 3257–3264. 24 indexed citations
20.
Kroemer, Oliver, Heni Ben Amor, Marco Ewerton, & Jan Peters. (2012). Point cloud completion using extrusions. 680–685. 13 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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