Mark Runciman
Impact in
- Condensed Matter Physics top 10%
- Micro and Nano Robotics
- Biomedical Engineering top 10%
- Soft Robotics and Applications
- Advanced Sensor and Energy Harvesting Materials
- Advanced Surface Polishing Techniques
Papers in
-
- Soft Robotics and Applications 14
- Advanced Sensor and Energy Harvesting Materials 2
-
- Advanced Materials and Mechanics 2
- Modular Robots and Swarm Intelligence 2
- Co-authors
- George Mylonas (14 shared papers)Ara Darzi (5 shared papers)James Avery (11 shared papers)Daniel S. Elson (1 shared paper)Enrico Franco (3 shared papers)Ferdinando Rodriguez y Baena (3 shared papers)Zeyu Wang (1 shared paper)Benny Lo (1 shared paper)
- Journals
- Applied Sciences (2 papers)IEEE Robotics and Automation Letters (2 papers)IEEE Transactions on Biomedical Engineering (1 paper)Soft Robotics (1 paper)IEEE Transactions on Medical Robotics and Bionics (1 paper)
- Partner nations
- United KingdomChinaSwitzerland
In The Last Decade
Mark Runciman
16 papers receiving 478 citations
Mark Runciman's Hit Papers
Peers
Comparison fields: 5 of 63
- Condensed Matter Physics 148
- Biomedical Engineering 431
- Control and Systems Engineering 117
- Mechanical Engineering 165
- Surgery 76
Countries citing papers authored by Mark Runciman
This map shows the geographic impact of Mark Runciman'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 Mark Runciman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Runciman more than expected).
Fields of papers citing papers by Mark Runciman
This network shows the impact of papers produced by Mark Runciman. 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 Mark Runciman. The network helps show where Mark Runciman may publish in the future.
Co-authors
The 20 scholars most cited alongside Mark Runciman, 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 | Soft Robotics in Minimally Invasive Surgery Hit paper breakdown → | 2019 | 367 |
| 2 | 2020 | 35 | |
| 3 | 2020 | 24 | |
| 4 | 2019 | 17 | |
| 5 | 2021 | 10 | |
| 6 | 2022 | 9 | |
| 7 | 2020 | 6 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2025 | 0 |
About Mark Runciman
Mark Runciman is a scholar working on Biomedical Engineering, Mechanical Engineering, Surgery, Condensed Matter Physics and Control and Systems Engineering, having authored 18 papers that have together received 489 indexed citations. Recurring topics across this work include Soft Robotics and Applications (14 papers), Micro and Nano Robotics (5 papers), Surgical Simulation and Training (4 papers), Advanced Materials and Mechanics (2 papers), Robot Manipulation and Learning (2 papers), Modular Robots and Swarm Intelligence (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers) and Electrical and Bioimpedance Tomography (2 papers). The work is most often cited by research in Condensed Matter Physics (148 citations), Biomedical Engineering (431 citations), Control and Systems Engineering (117 citations), Mechanical Engineering (165 citations) and Surgery (76 citations). Mark Runciman has collaborated with scholars based in United Kingdom, China and Switzerland. Frequent co-authors include George Mylonas, Ara Darzi, James Avery, Daniel S. Elson, Enrico Franco, Ferdinando Rodriguez y Baena, Zeyu Wang, Benny Lo, Hutan Ashrafian and Nisha Patel. Their work appears in journals such as Applied Sciences, IEEE Robotics and Automation Letters, IEEE Transactions on Biomedical Engineering, Soft Robotics and IEEE Transactions on Medical Robotics and Bionics.
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.