Pierre Berthet-Rayne

435 total citations
20 papers, 306 citations indexed

About

Pierre Berthet-Rayne is a scholar working on Biomedical Engineering, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pierre Berthet-Rayne has authored 20 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 9 papers in Surgery and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pierre Berthet-Rayne's work include Soft Robotics and Applications (14 papers), Surgical Simulation and Training (8 papers) and Augmented Reality Applications (6 papers). Pierre Berthet-Rayne is often cited by papers focused on Soft Robotics and Applications (14 papers), Surgical Simulation and Training (8 papers) and Augmented Reality Applications (6 papers). Pierre Berthet-Rayne collaborates with scholars based in United Kingdom, France and United States. Pierre Berthet-Rayne's co-authors include Guang‐Zhong Yang, Konrad Leibrandt, Carlo Seneci, Gauthier Gras, Piyamate Wisanuvej, Stamatia Giannarou, André Crosnier, Christos Bergeles, Philippe Fraisse and Daniel Leff and has published in prestigious journals such as Applied Sciences, Annals of Biomedical Engineering and IEEE Robotics and Automation Letters.

In The Last Decade

Pierre Berthet-Rayne

18 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierre Berthet-Rayne United Kingdom 10 239 99 93 75 56 20 306
Piyamate Wisanuvej United Kingdom 10 222 0.9× 126 1.3× 81 0.9× 52 0.7× 76 1.4× 15 316
Wuzhou Hong China 11 278 1.2× 91 0.9× 126 1.4× 95 1.3× 37 0.7× 13 335
Muneaki Miyasaka United States 12 257 1.1× 130 1.3× 161 1.7× 96 1.3× 33 0.6× 25 403
Konrad Leibrandt United Kingdom 14 418 1.7× 202 2.0× 176 1.9× 137 1.8× 123 2.2× 25 542
Jinhua Li China 10 223 0.9× 119 1.2× 77 0.8× 56 0.7× 42 0.8× 39 321
Seong-Young Ko South Korea 12 216 0.9× 167 1.7× 68 0.7× 27 0.4× 107 1.9× 20 331
Keri Kim South Korea 9 205 0.9× 52 0.5× 94 1.0× 76 1.0× 53 0.9× 45 308
Marco Piccigallo Italy 9 239 1.0× 179 1.8× 55 0.6× 40 0.5× 49 0.9× 12 329
Rob Reilink Netherlands 11 242 1.0× 137 1.4× 84 0.9× 69 0.9× 81 1.4× 18 350
Aleks Attanasio United Kingdom 4 196 0.8× 106 1.1× 24 0.3× 52 0.7× 65 1.2× 5 274

Countries citing papers authored by Pierre Berthet-Rayne

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Berthet-Rayne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pierre Berthet-Rayne. 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 Pierre Berthet-Rayne. The network helps show where Pierre Berthet-Rayne may publish in the future.

Co-authorship network of co-authors of Pierre Berthet-Rayne

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Berthet-Rayne. A scholar is included among the top collaborators of Pierre Berthet-Rayne 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 Pierre Berthet-Rayne. Pierre Berthet-Rayne 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.
Li, Mengyun, Baoru Huang, Tuong Do, et al.. (2025). SplineFormer: An Explainable Transformer Network for Autonomous Endovascular Navigation. 7718–7725.
2.
Frey, Sébastien, Wen Bin Wei, Evren Ekmekçi, et al.. (2025). Optimizing intraoperative AI: evaluation of YOLOv8 for real-time recognition of robotic and laparoscopic instruments. Journal of Robotic Surgery. 19(1). 131–131. 1 indexed citations
3.
Smits, J. M. M., Stéphane Lopez, Didier Tchétché, et al.. (2025). Towards autonomous robot-assisted transcatheter heart valve implantation: in vivo teleoperation and phantom validation of AI-guided positioning. Frontiers in Robotics and AI. 12. 1650228–1650228.
4.
Huang, Baoru, Mohamed E. M. K. Abdelaziz, Chun‐Yi Lee, et al.. (2024). CathSim: An Open-Source Simulator for Endovascular Intervention. IEEE Transactions on Medical Robotics and Bionics. 6(3). 971–979. 9 indexed citations
5.
Leung, Lisa, Marco Pinto, Gregory A. Gibson, et al.. (2024). Evaluation of a Three-Dimensional Printed Interventional Simulator for Cardiac Ablation Therapy Training. Applied Sciences. 14(18). 8423–8423. 1 indexed citations
6.
Berthet-Rayne, Pierre & Guang‐Zhong Yang. (2023). Navigation with minimal occupation volume for teleoperated snake-like surgical robots: MOVE. Frontiers in Robotics and AI. 10. 1211876–1211876. 1 indexed citations
7.
Dequidt, Jérémie, et al.. (2023). 3D Kinematics and Quasi-Statics of a Growing Robot Eversion. SPIRE - Sciences Po Institutional REpository. 1–6. 2 indexed citations
8.
Berthet-Rayne, Pierre, et al.. (2021). MAMMOBOT: A Miniature Steerable Soft Growing Robot for Early Breast Cancer Detection. IEEE Robotics and Automation Letters. 6(3). 5056–5063. 47 indexed citations
9.
Berthet-Rayne, Pierre, et al.. (2020). Using Deep-Learning Proximal Policy Optimization to Solve the Inverse Kinematics of Endoscopic Instruments. IEEE Transactions on Medical Robotics and Bionics. 3(1). 273–276. 4 indexed citations
10.
Hong, Wuzhou, et al.. (2020). Design and Compensation Control of a Flexible Instrument for Endoscopic Surgery. 1860–1866. 19 indexed citations
11.
Berthet-Rayne, Pierre, et al.. (2019). Endoscopic Bi-Manual Robotic Instrument Design Using a Genetic Algorithm. Spiral (Imperial College London). 2975–2982. 9 indexed citations
12.
Berthet-Rayne, Pierre, et al.. (2019). A Rolling-Tip Flexible Instrument for Minimally Invasive Surgery. 379–385. 22 indexed citations
13.
Berthet-Rayne, Pierre, Konrad Leibrandt, Gauthier Gras, et al.. (2018). Inverse Kinematics Control Methods for Redundant Snakelike Robot Teleoperation During Minimally Invasive Surgery. IEEE Robotics and Automation Letters. 3(3). 2501–2508. 41 indexed citations
14.
Berthet-Rayne, Pierre, Gauthier Gras, Konrad Leibrandt, et al.. (2018). The i2Snake Robotic Platform for Endoscopic Surgery. Annals of Biomedical Engineering. 46(10). 1663–1675. 86 indexed citations
15.
Berthet-Rayne, Pierre, Konrad Leibrandt, Kiyoung Kim, et al.. (2018). Rolling-Joint Design Optimization for Tendon Driven Snake-Like Surgical Robots. Spiral (Imperial College London). 4964–4971. 25 indexed citations
16.
Schmitz, Andreas, Alan J. Thompson, Pierre Berthet-Rayne, & Guang‐Zhong Yang. (2017). Discussion of Link Designs for Fibre-optic Shape-Sensing in a Snake-like Robot. 81–82. 1 indexed citations
17.
Berthet-Rayne, Pierre, et al.. (2017). A framework for sensorless and autonomous probe-tissue contact management in robotic endomicroscopic scanning. Spiral (Imperial College London). 1738–1745. 6 indexed citations
18.
Berthet-Rayne, Pierre & Guanhua Yang. (2017). Vision Based Shape Reconstruction of Tendon Driven Snake-Like Surgical Robots. 69–70. 1 indexed citations
19.
Thompson, Alex J., et al.. (2017). Shape sensing of miniature snake-like robots using optical fibers. Spiral (Imperial College London). 947–952. 14 indexed citations
20.
Berthet-Rayne, Pierre, Maura Power, H. Hawkeye King, & Guang‐Zhong Yang. (2016). Hubot: A three state Human-Robot collaborative framework for bimanual surgical tasks based on learned models. Spiral (Imperial College London). 715–722. 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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