Tim Helps
Impact in
- Biomedical Engineering top 5%
- Advanced Sensor and Energy Harvesting Materials
- Soft Robotics and Applications
- Dielectric materials and actuators
- Prosthetics and Rehabilitation Robotics
- Condensed Matter Physics top 10%
- Micro and Nano Robotics
Papers in
-
- Advanced Sensor and Energy Harvesting Materials 19
- Dielectric materials and actuators 11
- Soft Robotics and Applications 8
- Prosthetics and Rehabilitation Robotics 4
-
- Advanced Materials and Mechanics 9
- Co-authors
- Jonathan Rossiter (22 shared papers)Majid Taghavi (18 shared papers)Richard Suphapol Diteesawat (5 shared papers)Andrew T. Conn (1 shared paper)Chaoqun Xiang (2 shared papers)Jianglong Guo (2 shared papers)Yuichi Nakamura (1 shared paper)Sarah Manns (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (3 papers)Science Robotics (3 papers)Soft Robotics (3 papers)Smart Materials and Structures (2 papers)Polymers (1 paper)
- Partner nations
- United KingdomPortugalJapan
In The Last Decade
Tim Helps
22 papers receiving 733 citations
Peers
Comparison fields: 5 of 51
- Biomedical Engineering 629
- Condensed Matter Physics 125
- Mechanical Engineering 299
- Cognitive Neuroscience 89
- Human-Computer Interaction 24
Countries citing papers authored by Tim Helps
This map shows the geographic impact of Tim Helps'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 Tim Helps with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Helps more than expected).
Fields of papers citing papers by Tim Helps
This network shows the impact of papers produced by Tim Helps. 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 Tim Helps. The network helps show where Tim Helps may publish in the future.
Co-authors
The 17 scholars most cited alongside Tim Helps, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 155 | |
| 2 | 2021 | 122 | |
| 3 | 2017 | 76 | |
| 4 | 2022 | 53 | |
| 5 | 2020 | 46 | |
| 6 | 2018 | 38 | |
| 7 | 2018 | 30 | |
| 8 | 2018 | 28 | |
| 9 | 2019 | 28 | |
| 10 | 2019 | 24 | |
| 11 | 2020 | 20 | |
| 12 | 2022 | 16 | |
| 13 | 2018 | 15 | |
| 14 | 2019 | 13 | |
| 15 | 2018 | 13 | |
| 16 | 2020 | 11 | |
| 17 | 2019 | 11 | |
| 18 | 2020 | 10 | |
| 19 | 2019 | 9 | |
| 20 | 2016 | 9 |
About Tim Helps
Tim Helps is a scholar working on Biomedical Engineering, Mechanical Engineering, Condensed Matter Physics, Cognitive Neuroscience and Polymers and Plastics, having authored 22 papers that have together received 741 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (19 papers), Dielectric materials and actuators (11 papers), Advanced Materials and Mechanics (9 papers), Soft Robotics and Applications (8 papers), Prosthetics and Rehabilitation Robotics (4 papers), Micro and Nano Robotics (3 papers), Tactile and Sensory Interactions (2 papers) and Polymer composites and self-healing (2 papers). The work is most often cited by research in Biomedical Engineering (629 citations), Condensed Matter Physics (125 citations), Mechanical Engineering (299 citations), Cognitive Neuroscience (89 citations) and Human-Computer Interaction (24 citations). Tim Helps has collaborated with scholars based in United Kingdom, Portugal and Japan. Frequent co-authors include Jonathan Rossiter, Majid Taghavi, Richard Suphapol Diteesawat, Andrew T. Conn, Chaoqun Xiang, Jianglong Guo, Yuichi Nakamura, Sarah Manns, Ailie Turton and Asish Malas. Their work appears in journals such as IEEE Robotics and Automation Letters, Science Robotics, Soft Robotics, Smart Materials and Structures and Polymers.
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.