G. Schmidt
Impact in
- Computational Mathematics top 5%
- Human-Computer Interaction top 1%
Papers in
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- Robot Manipulation and Learning 23
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- Robotic Path Planning Algorithms 36
- Co-authors
- N. Barbour (2 shared papers)Johannes Elschner (20 shared papers)Martin Buss (25 shared papers)Uwe D. Hanebeck (20 shared papers)Vladimir Maz’ya (25 shared papers)Thomas Ströhlein (9 shared papers)Robert Riener (14 shared papers)Wolfram Kahl (1 shared paper)
In The Last Decade
G. Schmidt
327 papers receiving 5.0k citations
G. Schmidt's Hit Papers
Peers
Comparison fields: 5 of 162
- Computational Mathematics 42
- Human-Computer Interaction 320
- Computational Theory and Mathematics 867
- Computer Vision and Pattern Recognition 987
- Control and Systems Engineering 984
Countries citing papers authored by G. Schmidt
This map shows the geographic impact of G. 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 G. Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Schmidt more than expected).
Fields of papers citing papers by G. Schmidt
This network shows the impact of papers produced by G. 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 G. Schmidt. The network helps show where G. Schmidt may publish in the future.
Co-authors
The 25 scholars most cited alongside G. 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 360 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Inertial sensor technology trends Hit paper breakdown → | 2001 | 469 |
| 2 | 1997 | 207 | |
| 3 | 1995 | 146 | |
| 4 | 1996 | 138 | |
| 5 | 1993 | 110 | |
| 6 | 2004 | 98 | |
| 7 | 1985 | 96 | |
| 8 | 2002 | 92 | |
| 9 | 2010 | 85 | |
| 10 | 2007 | 81 | |
| 11 | 2002 | 79 | |
| 12 | 2002 | 76 | |
| 13 | 1999 | 74 | |
| 14 | 1980 | 73 | |
| 15 | 2006 | 69 | |
| 16 | 1982 | 66 | |
| 17 | 1998 | 65 | |
| 18 | 2004 | 65 | |
| 19 | 2000 | 64 | |
| 20 | Relations and Graphs: Discrete Mathematics for Computer Scientists | 2012 | 64 |
About G. Schmidt
G. Schmidt is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Mechanical Engineering and Biomedical Engineering, having authored 360 papers that have together received 5.6k indexed citations. Recurring topics across this work include Teleoperation and Haptic Systems (37 papers), Robotic Path Planning Algorithms (36 papers), Robotics and Sensor-Based Localization (29 papers), Robot Manipulation and Learning (23 papers), Logic, Reasoning, and Knowledge (21 papers), Electromagnetic Scattering and Analysis (20 papers), Optical Coatings and Gratings (18 papers) and Tactile and Sensory Interactions (17 papers). The work is most often cited by research in Computational Mathematics (42 citations), Human-Computer Interaction (320 citations), Computational Theory and Mathematics (867 citations), Computer Vision and Pattern Recognition (987 citations) and Control and Systems Engineering (984 citations). G. Schmidt has collaborated with scholars based in Germany, Italy and Sweden. Frequent co-authors include N. Barbour, Johannes Elschner, Martin Buss, Uwe D. Hanebeck, Vladimir Maz’ya, Thomas Ströhlein, Robert Riener, Wolfram Kahl, Chris Brink and Joachim Horn. Their work appears in journals such as Robotics and Autonomous Systems, Mathematische Nachrichten, Lecture notes in control and information sciences, The Journal of Logic and Algebraic Programming and Journal of Intelligent & Robotic Systems.
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.