Matthias Schröder
- Human-Computer Interaction top 2%
- Hand Gesture Recognition Systems 10
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- Human Pose and Action Recognition 7
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- Human Motion and Animation 4
- Robot Manipulation and Learning 3
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- Manufacturing Process and Optimization 1
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- Teleoperation and Haptic Systems 2
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- Product Development and Customization 1
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- Advanced Surface Polishing Techniques 1
- Co-authors
- Mario BotschHelge RitterAndrea TagliasacchiAnastasia TkachSofien BouazizMark V. PaulyJonathan MaycockChristian F. W. Becker
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- Computers & Chemical Engineering (1 paper)Computer Graphics Forum (1 paper)Computer Animation and Virtual Worlds (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Matthias Schröder
12 papers receiving 273 citations
Peers
Comparison fields: 5 of 54
- Human-Computer Interaction 181
- Computer Vision and Pattern Recognition 201
- Control and Systems Engineering 156
- Computer Graphics and Computer-Aided Design 4
- Industrial and Manufacturing Engineering 11
Countries citing papers authored by Matthias Schröder
This map shows the geographic impact of Matthias Schröder'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 Schröder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Schröder more than expected).
Fields of papers citing papers by Matthias Schröder
This network shows the impact of papers produced by Matthias Schröder. 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 Schröder. The network helps show where Matthias Schröder may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Matthias Schröder, 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 | 2018 | 19 | |
| 2 | 2017 | 14 | |
| 3 | 2017 | 13 | |
| 4 | 2017 | 9 | |
| 5 | Articulation estimation and real-time tracking of human hand motions | 2015 | 1 |
| 6 | 2015 | 15 | |
| 7 | 2015 | 21 | |
| 8 | 2015 | 142 | |
| 9 | 2014 | 27 | |
| 10 | Analysis of Hand Synergies for Inverse Kinematics Hand Tracking | 2013 | 2 |
| 11 | 2012 | 19 | |
| 12 | 1983 | 1 |
About Matthias Schröder
Matthias Schröder is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 12 papers that have together received 283 indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (10 papers), Human Pose and Action Recognition (7 papers), Human Motion and Animation (4 papers), Robot Manipulation and Learning (3 papers), Teleoperation and Haptic Systems (2 papers), Manufacturing Process and Optimization (1 paper), Product Development and Customization (1 paper) and Advanced Surface Polishing Techniques (1 paper). The work is most often cited by research in Human-Computer Interaction (181 citations), Computer Vision and Pattern Recognition (201 citations) and Control and Systems Engineering (156 citations). Matthias Schröder has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Mario Botsch, Helge Ritter, Andrea Tagliasacchi, Anastasia Tkach, Sofien Bouaziz, Mark V. Pauly, Jonathan Maycock, Christian F. W. Becker, Christian Bramsiepe and Gerhard Schembecker. Their work appears in journals such as Computers & Chemical Engineering, Computer Graphics Forum and Computer Animation and Virtual Worlds.
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.