Matthias Müller
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- Computer Graphics and Visualization Techniques 16
- Computational Geometry and Mesh Generation 7
- Computational Mechanics top 0.5%
- 3D Shape Modeling and Analysis 16
- Advanced Numerical Analysis Techniques 4
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- Robotic Path Planning Algorithms 5
- Advanced Neural Network Applications 3
- Geology top 2%
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- Robotics and Sensor-Based Localization 6
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- Autonomous Vehicle Technology and Safety 3
Matthias Müller
40 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Computer Graphics and Computer-Aided Design 1.3k
- Computational Mechanics 1.7k
- Computer Vision and Pattern Recognition 1.3k
- Control and Systems Engineering 707
- Geology 169
Countries citing papers authored by Matthias Müller
This map shows the geographic impact of Matthias Müller'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 Matthias Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Müller more than expected).
Fields of papers citing papers by Matthias Müller
This network shows the impact of papers produced by Matthias Müller. 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 Matthias Müller. The network helps show where Matthias Müller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthias Müller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Champion-level drone racing using deep reinforcement learningbreakdown → | 2023 | 286 |
| 2 | 2023 | 2 | |
| 3 | 2021 | 22 | |
| 4 | 2021 | 1 | |
| 5 | Can GCNs Go as Deep as CNNs | 2019 | 22 |
| 6 | Driving Policy Transfer via Modularity and Abstraction. | 2018 | 37 |
| 7 | Teaching UAVs to Race Using Sim4CV | 2017 | 2 |
| 8 | 2012 | 2 | |
| 9 | 2007 | 21 | |
| 10 | 2006 | 65 | |
| 11 | 2006 | 56 | |
| 12 | 2006 | 15 | |
| 13 | 2005 | 25 | |
| 14 | 2004 | 23 | |
| 15 | Interactive virtual materials | 2004 | 305 |
| 16 | 2004 | 76 | |
| 17 | 2004 | 142 | |
| 18 | Optimized Spatial Hashing for Collision Detection of Deformable Objects. | 2003 | 300 |
| 19 | 2000 | 38 | |
| 20 | 1998 | 4 |
About Matthias Müller
Matthias Müller is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 4.1k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (16 papers), 3D Shape Modeling and Analysis (16 papers), Computational Geometry and Mesh Generation (7 papers), Robotics and Sensor-Based Localization (6 papers), Robotic Path Planning Algorithms (5 papers), Advanced Numerical Analysis Techniques (4 papers), Autonomous Vehicle Technology and Safety (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.3k citations), Computational Mechanics (1.7k citations) and Computer Vision and Pattern Recognition (1.3k citations). Matthias Müller has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Bernard Ghanem, Bruno Heidelberger, Markus Groß, Guohao Li, Ali Thabet, Matthias Teschner, Andrew Nealen, Mark Carlson, Richard Keiser and Vladlen Koltun.
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.