Daniel Schmidt
-
- Robot Manipulation and Learning 8
- Biomedical Engineering top 10%
- Soft Robotics and Applications 8
- Mechanical Engineering top 10%
- Modular Robots and Swarm Intelligence 6
- Non-Destructive Testing Techniques 5
-
- Robotic Path Planning Algorithms 6
-
- Ultrasonics and Acoustic Wave Propagation 11
-
- Optical Network Technologies 7
-
- Structural Health Monitoring Techniques 5
Daniel Schmidt
57 papers receiving 835 citations
Peers
Comparison fields: 5 of 93
- Industrial and Manufacturing Engineering 180
- Control and Systems Engineering 177
- Biomedical Engineering 290
- Mechanical Engineering 243
- Computer Vision and Pattern Recognition 129
Countries citing papers authored by Daniel Schmidt
This map shows the geographic impact of Daniel Schmidt'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 Daniel Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Schmidt more than expected).
Fields of papers citing papers by Daniel Schmidt
This network shows the impact of papers produced by Daniel Schmidt. 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 Daniel Schmidt. The network helps show where Daniel Schmidt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Schmidt, 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 | 2024 | 4 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 5 | |
| 5 | 2021 | 2 | |
| 6 | 2021 | 5 | |
| 7 | 2020 | 25 | |
| 8 | 2020 | 4 | |
| 9 | 2015 | 1 | |
| 10 | Improving Navigation Safety of an Omni-Directional Wall-Climbing Robot via Traction and Friction Control | 2014 | 1 |
| 11 | 2014 | 1 | |
| 12 | Generating Behaviour Networks from Finite-State Machines | 2012 | 2 |
| 13 | 2012 | 13 | |
| 14 | An autonomous excavator for landscaping tasks | 2010 | 1 |
| 15 | 2010 | 6 | |
| 16 | DLR Research Activities for Structural Health Monitoring in Aerospace Structures | 2010 | 1 |
| 17 | 2009 | 37 | |
| 18 | 2009 | 19 | |
| 19 | Data fusion techniques for traffic state estimation - DINO within Dmotion | 2007 | 1 |
| 20 | 1986 | 0 |
About Daniel Schmidt
Daniel Schmidt is a scholar working on Industrial and Manufacturing Engineering, Mechanics of Materials, Architecture, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 65 papers that have together received 886 indexed citations. Recurring topics across this work include Ultrasonics and Acoustic Wave Propagation (11 papers), Robot Manipulation and Learning (8 papers), Soft Robotics and Applications (8 papers), Optical Network Technologies (7 papers), Modular Robots and Swarm Intelligence (6 papers), Robotic Path Planning Algorithms (6 papers), Structural Health Monitoring Techniques (5 papers) and Non-Destructive Testing Techniques (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (180 citations), Control and Systems Engineering (177 citations), Biomedical Engineering (290 citations), Mechanical Engineering (243 citations) and Computer Vision and Pattern Recognition (129 citations). Daniel Schmidt has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Karsten Berns, Javier Villalba-Díez, Norbert Wehn, Joaquín Ordieres‐Meré, Wanja Wellbrock, Martín Molina, Berthold Lankl, Thomas Kühn, Michael Sinapius and Ralf Korn. Their work appears in journals such as Sensors, Optics Express, Robotica, Injury and Industrial Robot the international journal of robotics research and application.
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.