Daniel Schmidt
Impact in
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- Digital Transformation in Industry
- Industrial Vision Systems and Defect Detection
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- Robot Manipulation and Learning
Papers in
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- Ultrasonics and Acoustic Wave Propagation 16
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- Non-Destructive Testing Techniques 7
- Modular Robots and Swarm Intelligence 6
- Co-authors
- Karsten Berns (22 shared papers)Norbert Wehn (10 shared papers)Javier Villalba-Díez (7 shared papers)Joaquín Ordieres‐Meré (4 shared papers)Wanja Wellbrock (2 shared papers)Martín Molina (4 shared papers)Michael Sinapius (9 shared papers)Ákos Kiss (2 shared papers)
- Journals
- Sensors (4 papers)Injury (1 paper)Applied Sciences (1 paper)Robotica (1 paper)Optics Express (1 paper)
- Partner nations
- GermanySpainUnited States
In The Last Decade
Daniel Schmidt
69 papers receiving 988 citations
Peers
Comparison fields: 5 of 97
- Industrial and Manufacturing Engineering 211
- Control and Systems Engineering 201
- Biomedical Engineering 328
- Hardware and Architecture 53
- Mechanical Engineering 273
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-authors
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
Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 221 | |
| 2 | 2019 | 165 | |
| 3 | 2008 | 71 | |
| 4 | 2010 | 44 | |
| 5 | 2009 | 40 | |
| 6 | 2019 | 38 | |
| 7 | 2011 | 37 | |
| 8 | 2020 | 27 | |
| 9 | 2020 | 26 | |
| 10 | 2009 | 26 | |
| 11 | 2007 | 23 | |
| 12 | 2009 | 22 | |
| 13 | 2006 | 22 | |
| 14 | 2020 | 22 | |
| 15 | 2010 | 21 | |
| 16 | 2007 | 20 | |
| 17 | 2012 | 16 | |
| 18 | 2013 | 13 | |
| 19 | 2009 | 13 | |
| 20 | 2014 | 13 |
About Daniel Schmidt
Daniel Schmidt is a scholar working on Mechanics of Materials, Mechanical Engineering, Electrical and Electronic Engineering, Biomedical Engineering and Control and Systems Engineering, having authored 78 papers that have together received 1.0k indexed citations. Recurring topics across this work include Ultrasonics and Acoustic Wave Propagation (16 papers), Soft Robotics and Applications (10 papers), Robot Manipulation and Learning (10 papers), Non-Destructive Testing Techniques (7 papers), Optical Network Technologies (7 papers), Structural Health Monitoring Techniques (7 papers), Robotic Path Planning Algorithms (6 papers) and Modular Robots and Swarm Intelligence (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (211 citations), Control and Systems Engineering (201 citations), Biomedical Engineering (328 citations), Hardware and Architecture (53 citations) and Mechanical Engineering (273 citations). Daniel Schmidt has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Karsten Berns, Norbert Wehn, Javier Villalba-Díez, Joaquín Ordieres‐Meré, Wanja Wellbrock, Martín Molina, Michael Sinapius, Ákos Kiss, Peter Wierach and Tibor Gyimóthy. Their work appears in journals such as Sensors, Injury, Applied Sciences, Robotica and Optics Express.
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.