Mark Runciman

686 total citations · 1 hit paper
18 papers, 489 citations indexed

About

Mark Runciman is a scholar working on Biomedical Engineering, Mechanical Engineering and Surgery. According to data from OpenAlex, Mark Runciman has authored 18 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 6 papers in Mechanical Engineering and 5 papers in Surgery. Recurrent topics in Mark Runciman's work include Soft Robotics and Applications (14 papers), Micro and Nano Robotics (5 papers) and Surgical Simulation and Training (4 papers). Mark Runciman is often cited by papers focused on Soft Robotics and Applications (14 papers), Micro and Nano Robotics (5 papers) and Surgical Simulation and Training (4 papers). Mark Runciman collaborates with scholars based in United Kingdom, China and Switzerland. Mark Runciman's co-authors include George Mylonas, Ara Darzi, James Avery, Daniel S. Elson, Enrico Franco, Ferdinando Rodriguez y Baena, Zeyu Wang, Benny Lo, Zhijun Sun and Hutan Ashrafian and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Biomedical Engineering and Sensors.

In The Last Decade

Mark Runciman

16 papers receiving 478 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Soft Robotics in Minimally Invasive Surgery

2019 367 citations Mark Runciman, Ara Darzi et al. Soft Robotics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mark Runciman United Kingdom	7	431	165	148	117	76	18	489
Lukas Lindenroth United Kingdom	13	485 1.1×	148 0.9×	79 0.5×	184 1.6×	79 1.0×	36	577
Alessandro Diodato Italy	8	422 1.0×	139 0.8×	112 0.8×	141 1.2×	44 0.6×	16	460
Sheila Russo United States	15	460 1.1×	199 1.2×	151 1.0×	68 0.6×	63 0.8×	34	568
Jan Fraś United Kingdom	12	522 1.2×	191 1.2×	184 1.2×	212 1.8×	35 0.5×	15	569
Margherita Brancadoro Italy	10	439 1.0×	140 0.8×	128 0.9×	135 1.2×	68 0.9×	16	495
Iris De Falco Italy	7	702 1.6×	256 1.6×	201 1.4×	284 2.4×	82 1.1×	10	774
Ang Chen China	10	353 0.8×	125 0.8×	60 0.4×	91 0.8×	65 0.9×	16	503
Amir Hooshiar Canada	14	422 1.0×	121 0.7×	48 0.3×	90 0.8×	109 1.4×	40	540
Peter Lloyd United Kingdom	12	458 1.1×	220 1.3×	283 1.9×	70 0.6×	49 0.6×	24	541
Hyo-Jeong Cha South Korea	8	351 0.8×	141 0.9×	182 1.2×	50 0.4×	85 1.1×	17	407

Countries citing papers authored by Mark Runciman

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mark Runciman

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Runciman. A scholar is included among the top collaborators of Mark Runciman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Runciman. Mark Runciman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Lou, Hong, et al.. (2025). A Soft Robot Attachment with Variable Stiffness Effector for Advanced Endoscopic Surgical Tasks. 17300–17305.

Runciman, Mark, et al.. (2025). A Soft Inflatable Cable-Driven Parallel Robot With a Variable Stiffness End-Effector for Advanced Interventional Endoscopy. IEEE Transactions on Biomedical Engineering. 72(9). 2794–2803. 1 indexed citations

Li, Xinxin, et al.. (2024). A Novel, Soft, Cable-Driven Parallel Robot for Minimally Invasive Surgeries Based on Folded Pouch Actuators. Applied Sciences. 14(10). 4095–4095. 3 indexed citations

Runciman, Mark, et al.. (2024). A Tension Sensor Array for Cable-Driven Surgical Robots. Sensors. 24(10). 3156–3156. 4 indexed citations

Runciman, Mark, et al.. (2024). Development of a Low Pressure Pouch Sensor for Force Measurement in Colonoscopy Procedures. 2366–2372. 2 indexed citations

Runciman, Mark, et al.. (2024). A Soft Inflatable Robot Driven by Hydraulic Folded Pouch Actuators for Minimally Invasive Surgery. IEEE Robotics and Automation Letters. 9(5). 4870–4877. 3 indexed citations

Thompson, Alex J., et al.. (2023). A soft hydraulic endorectal actuator for prostate radiotherapy. 1–6. 1 indexed citations

Runciman, Mark, et al.. (2023). Graph-based Pose Estimation of Texture-less Surgical Tools for Autonomous Robot Control. Spiral (Imperial College London). 2731–2737. 2 indexed citations

Runciman, Mark, Enrico Franco, James Avery, Ferdinando Rodriguez y Baena, & George E. Mylonas. (2023). Model Based Position Control of Soft Hydraulic Actuators. Spiral (Imperial College London). 2676–2682. 2 indexed citations

10.

Wang, Zeyu, Enrico Franco, James Avery, et al.. (2022). Current Engineering Developments for Robotic Systems in Flexible Endoscopy. Techniques and Innovations in Gastrointestinal Endoscopy. 25(1). 67–81. 9 indexed citations

11.

Davids, Joseph, Hutan Ashrafian, Ara Darzi, et al.. (2022). A cable‐driven soft robotic end‐effector actuator for probe‐based confocal laser endomicroscopy: Development and preclinical validation. SHILAP Revista de lepidopterología. 5(2). 1 indexed citations

12.

Avery, James, et al.. (2022). Lumen Shape Reconstruction using a Soft Robotic Balloon Catheter and Electrical Impedance Tomography. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 365. 3414–3421. 2 indexed citations

13.

Runciman, Mark, James Avery, Ara Darzi, & George Mylonas. (2021). Open Loop Position Control of Soft Hydraulic Actuators for Minimally Invasive Surgery. Applied Sciences. 11(16). 7391–7391. 10 indexed citations

14.

Runciman, Mark, et al.. (2020). Deployable, Variable Stiffness, Cable Driven Robot for Minimally Invasive Surgery. Frontiers in Robotics and AI. 6. 141–141. 35 indexed citations

15.

Runciman, Mark, et al.. (2020). LaryngoTORS: A Novel Cable-Driven Parallel Robotic System for Transoral Laser Phonosurgery. IEEE Robotics and Automation Letters. 5(2). 1516–1523. 24 indexed citations

16.

Avery, James, et al.. (2020). Tactile Sensor for Minimally Invasive Surgery Using Electrical Impedance Tomography. IEEE Transactions on Medical Robotics and Bionics. 2(4). 561–564. 6 indexed citations

17.

Runciman, Mark, Ara Darzi, & George Mylonas. (2019). Soft Robotics in Minimally Invasive Surgery. Soft Robotics. 6(4). 423–443. 367 indexed citations breakdown →

18.

Runciman, Mark, et al.. (2019). A Deployable Soft Robotic Arm with Stiffness Modulation for Assistive Living Applications. 1479–1485. 17 indexed citations

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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