Tim Welschehold

470 total citations
23 papers, 241 citations indexed

About

Tim Welschehold is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tim Welschehold has authored 23 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Control and Systems Engineering, 10 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tim Welschehold's work include Robot Manipulation and Learning (10 papers), Robotic Path Planning Algorithms (5 papers) and Reinforcement Learning in Robotics (5 papers). Tim Welschehold is often cited by papers focused on Robot Manipulation and Learning (10 papers), Robotic Path Planning Algorithms (5 papers) and Reinforcement Learning in Robotics (5 papers). Tim Welschehold collaborates with scholars based in Germany, Switzerland and Canada. Tim Welschehold's co-authors include Wolfram Burgard, Abhinav Valada, Christian Dornhege, Matthias Demant, Stefan Rein, Joschka Boedecker, Thomas Brox, Stephan Schoenfelder, D. Büscher and Sven Kluska and has published in prestigious journals such as IEEE Transactions on Robotics, IEEE Robotics and Automation Letters and IEEE Journal of Photovoltaics.

In The Last Decade

Tim Welschehold

21 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Welschehold Germany 10 99 85 67 58 41 23 241
Nestor Arana-Arexolaleiba Spain 9 65 0.7× 85 1.0× 37 0.6× 94 1.6× 34 0.8× 30 251
Khelifa Baizid Italy 9 164 1.7× 116 1.4× 23 0.3× 61 1.1× 19 0.5× 20 279
Abeer M. Mahmoud Egypt 7 62 0.6× 22 0.3× 81 1.2× 28 0.5× 99 2.4× 43 263
Raza Ul Islam Pakistan 9 261 2.6× 48 0.6× 28 0.4× 32 0.6× 32 0.8× 10 365
Xiaoshan Gao China 7 89 0.9× 58 0.7× 64 1.0× 25 0.4× 31 0.8× 34 251
Roland Szabó Romania 11 142 1.4× 95 1.1× 31 0.5× 20 0.3× 124 3.0× 69 328
Subhajit Chatterjee South Korea 10 35 0.4× 57 0.7× 56 0.8× 11 0.2× 48 1.2× 29 271
Raafat Shalaby Egypt 11 209 2.1× 31 0.4× 51 0.8× 9 0.2× 73 1.8× 36 352
Péter Tamás Szemes Hungary 10 144 1.5× 65 0.8× 28 0.4× 18 0.3× 61 1.5× 75 324
Shimin Liu China 7 82 0.8× 22 0.3× 32 0.5× 189 3.3× 32 0.8× 17 302

Countries citing papers authored by Tim Welschehold

Since Specialization
Citations

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

Fields of papers citing papers by Tim Welschehold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Welschehold

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Welschehold. A scholar is included among the top collaborators of Tim Welschehold 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 Tim Welschehold. Tim Welschehold 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.
Welschehold, Tim, et al.. (2025). Whole-Body Teleoperation for Mobile Manipulation at Zero Added Cost. IEEE Robotics and Automation Letters. 10(4). 3198–3205. 1 indexed citations
2.
Welschehold, Tim, et al.. (2025). Task-Driven Co-Design of Mobile Manipulators. IEEE Robotics and Automation Letters. 10(7). 7158–7165.
3.
4.
Welschehold, Tim, et al.. (2024). Bayesian Optimization for Sample-Efficient Policy Improvement in Robotic Manipulation. 2801–2808. 1 indexed citations
5.
Welschehold, Tim, et al.. (2024). The Art of Imitation: Learning Long-Horizon Manipulation Tasks From Few Demonstrations. IEEE Robotics and Automation Letters. 9(12). 11369–11376. 4 indexed citations
6.
Welschehold, Tim, et al.. (2024). DITTO: Demonstration Imitation by Trajectory Transformation. FreiDok plus (Universitätsbibliothek Freiburg). 7565–7572. 4 indexed citations
7.
Welschehold, Tim, et al.. (2024). CenterGrasp: Object-Aware Implicit Representation Learning for Simultaneous Shape Reconstruction and 6-DoF Grasp Estimation. IEEE Robotics and Automation Letters. 9(6). 5094–5101. 7 indexed citations
8.
Welschehold, Tim, et al.. (2023). Catch Me if You Hear Me: Audio-Visual Navigation in Complex Unmapped Environments With Moving Sounds. IEEE Robotics and Automation Letters. 8(2). 928–935. 15 indexed citations
9.
Welschehold, Tim, et al.. (2023). Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation. IEEE Robotics and Automation Letters. 8(12). 8549–8556. 8 indexed citations
10.
Welschehold, Tim, et al.. (2023). N$^{2}$M$^{2}$: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments. IEEE Transactions on Robotics. 39(5). 3601–3619. 19 indexed citations
11.
Welschehold, Tim, et al.. (2023). Improving Deep Dynamics Models for Autonomous Vehicles with Multimodal Latent Mapping of Surfaces. 4299–4306. 2 indexed citations
12.
Welschehold, Tim, et al.. (2023). The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation. IEEE Robotics and Automation Letters. 8(11). 6931–6938. 4 indexed citations
13.
Welschehold, Tim, et al.. (2022). Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning. IEEE Robotics and Automation Letters. 8(2). 624–631. 9 indexed citations
14.
Welschehold, Tim, et al.. (2021). Courteous Behavior of Automated Vehicles at Unsignalized Intersections Via Reinforcement Learning. IEEE Robotics and Automation Letters. 7(1). 191–198. 18 indexed citations
15.
Welschehold, Tim, et al.. (2019). Augmenting Action Model Learning by Non-Geometric Features. FreiDok plus (Universitätsbibliothek Freiburg). 7769–7775. 2 indexed citations
16.
Welschehold, Tim, et al.. (2018). Coupling Mobile Base and End-Effector Motion in Task Space. FreiDok plus (Universitätsbibliothek Freiburg). 1–9. 12 indexed citations
17.
Welschehold, Tim, Christian Dornhege, & Wolfram Burgard. (2017). Learning mobile manipulation actions from human demonstrations. 3196–3201. 24 indexed citations
18.
Welschehold, Tim, Christian Dornhege, & Wolfram Burgard. (2016). Learning manipulation actions from human demonstrations. 3772–3777. 13 indexed citations
19.
Demant, Matthias, et al.. (2015). Microcracks in Silicon Wafers I: Inline Detection and Implications of Crack Morphology on Wafer Strength. IEEE Journal of Photovoltaics. 6(1). 126–135. 42 indexed citations
20.
Demant, Matthias, Tim Welschehold, Sven Kluska, & Stefan Rein. (2015). Microcracks in Silicon Wafers II: Implications on Solar Cell Characteristics, Statistics and Physical Origin. IEEE Journal of Photovoltaics. 6(1). 136–144. 16 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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