David Daney
Impact in
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- Robotic Mechanisms and Dynamics
- Robot Manipulation and Learning
- Iterative Learning Control Systems
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- Numerical Methods and Algorithms
Papers in
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- Superconducting Materials and Applications 12
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- Spacecraft and Cryogenic Technologies 14
- Co-authors
- Jean‐Pierre Merlet (8 shared papers)Marc Gouttefarde (2 shared papers)Yves Papegay (3 shared papers)Milan Hladík (5 shared papers)Elias Tsigaridas (5 shared papers)Denny Oetomo (3 shared papers)Ioannis Z. Emiris (1 shared paper)Gilles Chabert (1 shared paper)
- Journals
- Cryogenics (13 papers)IEEE Transactions on Applied Superconductivity (7 papers)Mechanism and Machine Theory (3 papers)IEEE Transactions on Robotics (2 papers)Robotics and Autonomous Systems (2 papers)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
David Daney
59 papers receiving 972 citations
Peers
Comparison fields: 5 of 83
- Control and Systems Engineering 544
- Computational Theory and Mathematics 143
- Biomedical Engineering 381
- Mechanical Engineering 282
- Condensed Matter Physics 80
Countries citing papers authored by David Daney
This map shows the geographic impact of David Daney'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 David Daney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Daney more than expected).
Fields of papers citing papers by David Daney
This network shows the impact of papers produced by David Daney. 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 David Daney. The network helps show where David Daney may publish in the future.
Co-authors
The 25 scholars most cited alongside David Daney, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 178 | |
| 2 | 2005 | 99 | |
| 3 | 2007 | 69 | |
| 4 | 2009 | 54 | |
| 5 | 2010 | 49 | |
| 6 | 2003 | 47 | |
| 7 | 2006 | 46 | |
| 8 | 2006 | 34 | |
| 9 | 2010 | 28 | |
| 10 | 1976 | 27 | |
| 11 | 2004 | 26 | |
| 12 | 2002 | 26 | |
| 13 | 2005 | 26 | |
| 14 | 2017 | 19 | |
| 15 | A computational model for a regenerator | 1985 | 18 |
| 16 | 1997 | 17 | |
| 17 | 2008 | 17 | |
| 18 | 1988 | 17 | |
| 19 | 2011 | 16 | |
| 20 | 1979 | 14 |
About David Daney
David Daney is a scholar working on Biomedical Engineering, Aerospace Engineering, Control and Systems Engineering, Mechanical Engineering and Computational Mechanics, having authored 62 papers that have together received 1.0k indexed citations. Recurring topics across this work include Spacecraft and Cryogenic Technologies (14 papers), Superconducting Materials and Applications (12 papers), Robotic Mechanisms and Dynamics (11 papers), Numerical Methods and Algorithms (8 papers), Physics of Superconductivity and Magnetism (8 papers), Robot Manipulation and Learning (6 papers), Quantum, superfluid, helium dynamics (4 papers) and Advanced Measurement and Metrology Techniques (4 papers). The work is most often cited by research in Control and Systems Engineering (544 citations), Computational Theory and Mathematics (143 citations), Biomedical Engineering (381 citations), Mechanical Engineering (282 citations) and Condensed Matter Physics (80 citations). David Daney has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Jean‐Pierre Merlet, Marc Gouttefarde, Yves Papegay, Milan Hladík, Elias Tsigaridas, Denny Oetomo, Ioannis Z. Emiris, Gilles Chabert, Nicolas Andreff and Ray Radebaugh. Their work appears in journals such as Cryogenics, IEEE Transactions on Applied Superconductivity, Mechanism and Machine Theory, IEEE Transactions on Robotics and Robotics and Autonomous 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.