M. Hiller
Impact in
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- Robotic Mechanisms and Dynamics
- Robot Manipulation and Learning
- Dynamics and Control of Mechanical Systems
- Biophysics top 5%
- Electron Spin Resonance Studies
Papers in
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- Robotic Mechanisms and Dynamics 14
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- Robotic Path Planning Algorithms 7
- Co-authors
- Satoshı Tadokoro (3 shared papers)Daniel Franitza (1 shared paper)Shiqing Fang (1 shared paper)Peter Bäuerle (3 shared papers)Richard Verhoeven (2 shared papers)T. Takamori (2 shared papers)Andrés Kecskeméthy (4 shared papers)Markus Enders (5 shared papers)
- Journals
- Dalton Transactions (4 papers)IEEE/ASME Transactions on Mechatronics (3 papers)Journal of Magnetic Resonance (3 papers)Chemistry - A European Journal (2 papers)Archive of Applied Mechanics (2 papers)
- Partner nations
- GermanyUnited KingdomJapan
In The Last Decade
M. Hiller
65 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 94
- Control and Systems Engineering 569
- Biophysics 104
- Polymers and Plastics 149
- Electrochemistry 63
- Bioengineering 57
Countries citing papers authored by M. Hiller
This map shows the geographic impact of M. Hiller'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 M. Hiller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Hiller more than expected).
Fields of papers citing papers by M. Hiller
This network shows the impact of papers produced by M. Hiller. 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 M. Hiller. The network helps show where M. Hiller may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Hiller, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 195 | |
| 2 | 2003 | 102 | |
| 3 | 1996 | 90 | |
| 4 | 1996 | 71 | |
| 5 | 2004 | 59 | |
| 6 | 2002 | 58 | |
| 7 | 2022 | 43 | |
| 8 | 1997 | 41 | |
| 9 | 2003 | 38 | |
| 10 | 1993 | 34 | |
| 11 | 2017 | 31 | |
| 12 | 2000 | 29 | |
| 13 | 2020 | 27 | |
| 14 | 1999 | 25 | |
| 15 | 2019 | 24 | |
| 16 | 2021 | 23 | |
| 17 | 1991 | 23 | |
| 18 | 2016 | 22 | |
| 19 | 2012 | 20 | |
| 20 | 1989 | 19 |
About M. Hiller
M. Hiller is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Biophysics, Materials Chemistry and Automotive Engineering, having authored 73 papers that have together received 1.3k indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (14 papers), Electron Spin Resonance Studies (13 papers), Lanthanide and Transition Metal Complexes (8 papers), Robotic Path Planning Algorithms (7 papers), Magnetism in coordination complexes (7 papers), Advanced NMR Techniques and Applications (6 papers), Vehicle Dynamics and Control Systems (5 papers) and Conducting polymers and applications (5 papers). The work is most often cited by research in Control and Systems Engineering (569 citations), Biophysics (104 citations), Polymers and Plastics (149 citations), Electrochemistry (63 citations) and Bioengineering (57 citations). M. Hiller has collaborated with scholars based in Germany, United Kingdom and Japan. Frequent co-authors include Satoshı Tadokoro, Daniel Franitza, Shiqing Fang, Peter Bäuerle, Richard Verhoeven, T. Takamori, Andrés Kecskeméthy, Markus Enders, Marina Bennati and Torsten Bertram. Their work appears in journals such as Dalton Transactions, IEEE/ASME Transactions on Mechatronics, Journal of Magnetic Resonance, Chemistry - A European Journal and Archive of Applied Mechanics.
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.