David McCoul
Impact in
- Biomedical Engineering top 2%
- Advanced Sensor and Energy Harvesting Materials
- Dielectric materials and actuators
- Soft Robotics and Applications
- Polymers and Plastics top 10%
- Conducting polymers and applications
Papers in
-
- Advanced Sensor and Energy Harvesting Materials 27
- Dielectric materials and actuators 21
- Soft Robotics and Applications 6
- Muscle activation and electromyography studies 4
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- Modular Robots and Swarm Intelligence 3
- Co-authors
- Qibing Pei (10 shared papers)Jianwen Zhao (21 shared papers)Mengmeng Gao (1 shared paper)HU Wei-li (1 shared paper)Samuel Rosset (2 shared papers)Herbert Shea (2 shared papers)Bo Huang (8 shared papers)Samuel Schlatter (1 shared paper)
- Journals
- Smart Materials and Structures (9 papers)Applied Physics Letters (3 papers)Soft Robotics (3 papers)IEEE Sensors Journal (2 papers)IEEE Robotics and Automation Letters (2 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
David McCoul
35 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 86
- Biomedical Engineering 1.2k
- Polymers and Plastics 176
- Civil and Structural Engineering 207
- Mechanical Engineering 290
- Condensed Matter Physics 75
Countries citing papers authored by David McCoul
This map shows the geographic impact of David McCoul'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 McCoul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David McCoul more than expected).
Fields of papers citing papers by David McCoul
This network shows the impact of papers produced by David McCoul. 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 McCoul. The network helps show where David McCoul may publish in the future.
Co-authors
The 25 scholars most cited alongside David McCoul, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 258 | |
| 2 | 2017 | 117 | |
| 3 | 2017 | 82 | |
| 4 | 2018 | 80 | |
| 5 | 2015 | 72 | |
| 6 | 2016 | 68 | |
| 7 | 2020 | 67 | |
| 8 | 2019 | 55 | |
| 9 | 2015 | 53 | |
| 10 | 2019 | 51 | |
| 11 | 2015 | 50 | |
| 12 | 2015 | 47 | |
| 13 | 2016 | 40 | |
| 14 | 2018 | 38 | |
| 15 | 2014 | 35 | |
| 16 | 2020 | 33 | |
| 17 | 2020 | 32 | |
| 18 | 2012 | 27 | |
| 19 | 2016 | 27 | |
| 20 | 2019 | 26 |
About David McCoul
David McCoul is a scholar working on Biomedical Engineering, Mechanical Engineering, Civil and Structural Engineering, Materials Chemistry and Biomaterials, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (27 papers), Dielectric materials and actuators (21 papers), Soft Robotics and Applications (6 papers), Ferroelectric and Piezoelectric Materials (5 papers), Muscle activation and electromyography studies (4 papers), Vibration Control and Rheological Fluids (4 papers), Modular Robots and Swarm Intelligence (3 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). The work is most often cited by research in Biomedical Engineering (1.2k citations), Polymers and Plastics (176 citations), Civil and Structural Engineering (207 citations), Mechanical Engineering (290 citations) and Condensed Matter Physics (75 citations). David McCoul has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Qibing Pei, Jianwen Zhao, Mengmeng Gao, HU Wei-li, Samuel Rosset, Herbert Shea, Bo Huang, Samuel Schlatter, Jinsong Leng and Junshi Zhang. Their work appears in journals such as Smart Materials and Structures, Applied Physics Letters, Soft Robotics, IEEE Sensors Journal and IEEE Robotics and Automation Letters.
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.