Mark S. Runciman

764 citations
18 papers · 569 · 1 hit paper · h-index 6

Impact in

Papers in

Mark S. Runciman

18 papers receiving 564 citations

Mark S. Runciman's Hit Papers

Soft Robotics in Minimally Invasive Surgery 2019 · 425 citations
4250+2+4Years since publication100200300400

Peers

Mark S. Runciman
Comparison fields: 5 of 63
  • Condensed Matter Physics 151
  • Biomedical Engineering 479
  • Control and Systems Engineering 128
  • Mechanical Engineering 173
  • Gastroenterology 11
Replace Sheila Russo with:
Sheila Russo United States
Margherita Brancadoro Italy
Ge Fang Hong Kong
Peter Lloyd United Kingdom
Alessandro Diodato Italy
Tomás da Veiga United Kingdom
Jan Fraś United Kingdom
Peter A. York United States
Shanbao Cheng United States
Iris De Falco Italy
Mark S. Runciman relative to Sheila Russo United States Sheila Russo's profile →
Citations per field
00.5×1.5×1.9×
Sheila Russo · 1×
Citations per year

Countries citing papers authored by Mark S. Runciman

Since Specialization
Citations

This map shows the geographic impact of Mark S. 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 S. 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 S. Runciman more than expected).

Fields of papers citing papers by Mark S. Runciman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark S. 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 S. Runciman. The network helps show where Mark S. Runciman may publish in the future.

Co-authors

The 20 scholars most cited alongside Mark S. Runciman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark S. Runciman Line = papers co-authored together Mark S. Runciman links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Soft Robotics in Minimally Invasive Surgery
Hit paper breakdown →
2019425
2 202040
3 202029
4 201920
5 202211
6 202110
7 20206
8 20245
9 20244
10 20244
11 20234
12 20232
13 20222
14 20242
15 20252
16 20221
17 20231
18 20251

About Mark S. Runciman

Mark S. Runciman is a scholar working on Biomedical Engineering, Condensed Matter Physics, Control and Systems Engineering, Mechanical Engineering and Surgery, having authored 18 papers that have together received 569 indexed citations. Recurring topics across this work include Soft Robotics and Applications (14 papers), Micro and Nano Robotics (4 papers), Surgical Simulation and Training (4 papers), Modular Robots and Swarm Intelligence (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Robot Manipulation and Learning (2 papers), Electrical and Bioimpedance Tomography (2 papers) and Gastrointestinal Bleeding Diagnosis and Treatment (1 paper). The work is most often cited by research in Condensed Matter Physics (151 citations), Biomedical Engineering (479 citations), Control and Systems Engineering (128 citations), Mechanical Engineering (173 citations) and Gastroenterology (11 citations). Mark S. Runciman has collaborated with scholars based in United Kingdom, China and Switzerland. Frequent co-authors include George P. Mylonas, Lord Ara Darzi, James Avery, Daniel S. Elson, Enrico Franco, Ferdinando Rodriguez y Baena, Zhijun Sun, João Cartucho, George Emmanuel Mylonas and Zeyu Wang. Their work appears in journals such as Applied Sciences, IEEE Robotics and Automation Letters, Soft Robotics, IEEE Transactions on Medical Robotics and Bionics and IEEE Transactions on Biomedical Engineering.

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.

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