David Daney
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- Robotic Mechanisms and Dynamics 11
- Robot Manipulation and Learning 6
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- Numerical Methods and Algorithms 8
- Biomedical Engineering top 10%
- Superconducting Materials and Applications 12
- Prosthetics and Rehabilitation Robotics 4
- Mechanical Engineering top 10%
- Condensed Matter Physics top 10%
- Physics of Superconductivity and Magnetism 8
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- Spacecraft and Cryogenic Technologies 14
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- Motor Control and Adaptation 4
- Co-authors
- Jean‐Pierre MerletMarc GouttefardeYves PapegayMilan HladíkElias TsigaridasDenny OetomoIoannis Z. EmirisGilles Chabert
- Journals
- Cryogenics (13 papers)IEEE Transactions on Applied Superconductivity (7 papers)Mechanism and Machine Theory (3 papers)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
David Daney
57 papers receiving 959 citations
Peers
Comparison fields: 5 of 84
- Control and Systems Engineering 538
- Computational Theory and Mathematics 141
- Biomedical Engineering 378
- Mechanical Engineering 280
- 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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2011 | 16 | |
| 6 | 2010 | 10 | |
| 7 | 2008 | 3 | |
| 8 | 2008 | 17 | |
| 9 | 2006 | 46 | |
| 10 | 2005 | 98 | |
| 11 | 2005 | 26 | |
| 12 | 1999 | 1 | |
| 13 | 1995 | 2 | |
| 14 | 1990 | 9 | |
| 15 | 1990 | 9 | |
| 16 | 1979 | 14 | |
| 17 | 1976 | 27 | |
| 18 | 1971 | 9 | |
| 19 | 1970 | 1 | |
| 20 | Slush hydrogen fluid characterization and instrumentation analysis | 1967 | 4 |
About David Daney
David Daney is a scholar working on Condensed Matter Physics, Aerospace Engineering, Control and Systems Engineering, Computational Theory and Mathematics 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), Physics of Superconductivity and Magnetism (8 papers), Numerical Methods and Algorithms (8 papers), Robot Manipulation and Learning (6 papers), Prosthetics and Rehabilitation Robotics (4 papers) and Motor Control and Adaptation (4 papers). The work is most often cited by research in Control and Systems Engineering (538 citations), Computational Theory and Mathematics (141 citations), Biomedical Engineering (378 citations), Mechanical Engineering (280 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, Robotica 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.