Manuel Wüthrich

696 citations
17 papers · 274 · h-index 9

Impact in

Papers in

Manuel Wüthrich

17 papers receiving 260 citations

Peers

Manuel Wüthrich
Comparison fields: 5 of 47
  • Control and Systems Engineering 151
  • Computer Vision and Pattern Recognition 121
  • Artificial Intelligence 103
  • Human-Computer Interaction 17
  • Aerospace Engineering 60
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Citations per year

Countries citing papers authored by Manuel Wüthrich

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Wüthrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Manuel Wüthrich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Manuel Wüthrich Line = papers co-authored together Manuel Wüthrich links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201859
2 201642
3 201341
4 201535
5 202227
6
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset
201915
7 202211
8 201611
9
On the Transfer of Disentangled Representations in Realistic Settings
20219
10 20206
11 20244
12 20154
13 20233
14
The Role of Pretrained Representations for the OOD Generalization of RL Agents
20212
15 20212
16 20242
17
Spatially Structured Recurrent Modules
20211

About Manuel Wüthrich

Manuel Wüthrich is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering and Communication, having authored 17 papers that have together received 274 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (6 papers), Robot Manipulation and Learning (5 papers), Robotics and Sensor-Based Localization (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Robotics and Automated Systems (2 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers), Gaussian Processes and Bayesian Inference (2 papers) and Social Media and Politics (2 papers). The work is most often cited by research in Control and Systems Engineering (151 citations), Computer Vision and Pattern Recognition (121 citations), Artificial Intelligence (103 citations), Human-Computer Interaction (17 citations) and Aerospace Engineering (60 citations). Manuel Wüthrich has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Stefan Schaal, Jeannette Bohg, Daniel Kappler, Mrinal Kalakrishnan, Peter Pástor, Jan Issac, Stefan Schaal, Stefan Bauer, Franziska Meier and Nathan Ratliff. Their work appears in journals such as IEEE Robotics and Automation Letters, The International Journal of Robotics Research, Expert Systems, MPG.PuRe (Max Planck Society) 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.

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