George Mylonas

2.5k total citations · 1 hit paper
77 papers, 1.7k citations indexed

About

George Mylonas is a scholar working on Biomedical Engineering, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, George Mylonas has authored 77 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Biomedical Engineering, 48 papers in Surgery and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in George Mylonas's work include Surgical Simulation and Training (41 papers), Soft Robotics and Applications (38 papers) and Anatomy and Medical Technology (15 papers). George Mylonas is often cited by papers focused on Surgical Simulation and Training (41 papers), Soft Robotics and Applications (38 papers) and Anatomy and Medical Technology (15 papers). George Mylonas collaborates with scholars based in United Kingdom, China and Italy. George Mylonas's co-authors include Ara Darzi, Mark Runciman, Guang‐Zhong Yang, Danail Stoyanov, Ka‐Wai Kwok, Guang Yang, Fani Deligianni, Mirna Lerotic, Adrian J. Chung and Mikael H. Sodergren and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Annals of Surgery.

In The Last Decade

George Mylonas

74 papers receiving 1.7k citations

Hit Papers

Soft Robotics in Minimally Invasive Surgery 2019 2026 2021 2023 2019 100 200 300
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.

  1. 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 Career Trend Papers Cites
George Mylonas United Kingdom 24 997 650 418 274 211 77 1.7k
Emmanuel Vander Poorten Belgium 25 1.2k 1.2× 455 0.7× 258 0.6× 378 1.4× 341 1.6× 170 2.0k
Michael C. Yip United States 28 1.6k 1.6× 453 0.7× 412 1.0× 699 2.6× 519 2.5× 93 2.8k
Masakatsu G. Fujie Japan 22 1.7k 1.7× 571 0.9× 280 0.7× 307 1.1× 464 2.2× 345 2.4k
Ken Masamune Japan 29 1.3k 1.3× 834 1.3× 625 1.5× 154 0.6× 175 0.8× 157 2.4k
M. Cenk Çavuşoğlu United States 29 1.7k 1.7× 972 1.5× 513 1.2× 776 2.8× 570 2.7× 113 2.8k
Zhenglong Sun China 24 854 0.9× 480 0.7× 220 0.5× 288 1.1× 303 1.4× 105 1.7k
Fernando Bello United Kingdom 25 1.3k 1.3× 1.6k 2.5× 504 1.2× 175 0.6× 175 0.8× 154 3.0k
Takeyoshi Dohi Japan 27 1.2k 1.2× 792 1.2× 834 2.0× 162 0.6× 157 0.7× 163 2.5k
Anton Deguet United States 21 943 0.9× 718 1.1× 541 1.3× 267 1.0× 239 1.1× 82 1.5k
Jocelyne Troccaz France 31 1.5k 1.5× 1.4k 2.1× 720 1.7× 229 0.8× 302 1.4× 166 3.1k

Countries citing papers authored by George Mylonas

Since Specialization
Citations

This map shows the geographic impact of George Mylonas'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 George Mylonas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Mylonas more than expected).

Fields of papers citing papers by George Mylonas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George Mylonas. 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 George Mylonas. The network helps show where George Mylonas may publish in the future.

Co-authorship network of co-authors of George Mylonas

This figure shows the co-authorship network connecting the top 25 collaborators of George Mylonas. A scholar is included among the top collaborators of George Mylonas 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 George Mylonas. George Mylonas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
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
2.
3.
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
4.
5.
Runciman, Mark, et al.. (2024). A Tension Sensor Array for Cable-Driven Surgical Robots. Sensors. 24(10). 3156–3156. 4 indexed citations
6.
Mylonas, George, et al.. (2024). Perceptions of cognitive workload measurement using multimodal sensors in surgery. Global Surgical Education - Journal of the Association for Surgical Education. 3(1). 1 indexed citations
7.
8.
Chen, Ziwei, Benjamin Otto, Karl‐Friedrich Kowalewski, et al.. (2023). Telestration with augmented reality improves surgical performance through gaze guidance. Surgical Endoscopy. 37(5). 3557–3566. 13 indexed citations
9.
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
10.
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
11.
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
12.
Glover, Ben, et al.. (2021). A novel gaze-controlled flexible robotized endoscope; preliminary trial and report. Surgical Endoscopy. 35(8). 4890–4899. 17 indexed citations
13.
Kinross, James, Sam Mason, George Mylonas, & Ara Darzi. (2020). Next-generation robotics in gastrointestinal surgery. Nature Reviews Gastroenterology & Hepatology. 17(7). 430–440. 45 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, Ara Darzi, & George Mylonas. (2019). Soft Robotics in Minimally Invasive Surgery. Soft Robotics. 6(4). 423–443. 367 indexed citations breakdown →
16.
Patel, Nisha, et al.. (2019). PTH-051 Eye gaze-controlled robotic flexible endoscopy: a feasibility study. A38.2–A39. 1 indexed citations
17.
Wang, Mingyao, et al.. (2018). Free-View, 3D Gaze-Guided, Assistive Robotic System for Activities of Daily Living. Spiral (Imperial College London). 2355–2361. 23 indexed citations
18.
Mylonas, George, Danail Stoyanov, Ara Darzi, & Guang‐Zhong Yang. (2007). Assessment of Perceptual Quality for Gaze-Contingent Motion Stabilization in Robotic Assisted Minimally Invasive Surgery. Lecture notes in computer science. 10(Pt 2). 660–667. 8 indexed citations
19.
Leong, Julian, Marios Nicolaou, Louis Atallah, et al.. (2007). HMM assessment of quality of movement trajectory in laparoscopic surgery. Computer Aided Surgery. 12(6). 335–346. 37 indexed citations
20.
Stoyanov, Danail, George Mylonas, Fani Deligianni, Ara Darzi, & Guang Yang. (2005). Soft-Tissue Motion Tracking and Structure Estimation for Robotic Assisted MIS Procedures. Lecture notes in computer science. 8(Pt 2). 139–146. 110 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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