Carlo Seneci

903 total citations
29 papers, 662 citations indexed

About

Carlo Seneci is a scholar working on Biomedical Engineering, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, Carlo Seneci has authored 29 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Biomedical Engineering, 15 papers in Surgery and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Carlo Seneci's work include Soft Robotics and Applications (19 papers), Surgical Simulation and Training (12 papers) and Anatomy and Medical Technology (6 papers). Carlo Seneci is often cited by papers focused on Soft Robotics and Applications (19 papers), Surgical Simulation and Training (12 papers) and Anatomy and Medical Technology (6 papers). Carlo Seneci collaborates with scholars based in United Kingdom, Thailand and Italy. Carlo Seneci's co-authors include Guang‐Zhong Yang, Konrad Leibrandt, Piyamate Wisanuvej, Ara Darzi, Gauthier Gras, Jianzhong Shang, Pierre Berthet-Rayne, Vincenzo F. Curto, Pankaj Vadgama and Salzitsa Anastasova and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Carlo Seneci

29 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlo Seneci United Kingdom 14 516 214 115 87 84 29 662
Andrea Mariani Italy 13 324 0.6× 238 1.1× 103 0.9× 70 0.8× 132 1.6× 29 551
Xiaoyi Gu Singapore 13 524 1.0× 93 0.4× 222 1.9× 161 1.9× 48 0.6× 35 696
Zoran Najdovski Australia 14 422 0.8× 147 0.7× 202 1.8× 221 2.5× 107 1.3× 50 770
Jianzhong Shang United Kingdom 14 509 1.0× 262 1.2× 169 1.5× 156 1.8× 126 1.5× 30 697
Jason Z. Moore United States 16 386 0.7× 322 1.5× 57 0.5× 80 0.9× 32 0.4× 79 766
Bruno Scaglioni United Kingdom 11 297 0.6× 164 0.8× 82 0.7× 86 1.0× 93 1.1× 27 530
Samuel B. Kesner United States 15 549 1.1× 170 0.8× 145 1.3× 176 2.0× 49 0.6× 21 705
Momen Abayazid Netherlands 14 753 1.5× 260 1.2× 197 1.7× 234 2.7× 141 1.7× 52 903
Michael D. M. Kutzer United States 16 438 0.8× 180 0.8× 226 2.0× 207 2.4× 86 1.0× 54 817
David P. Noonan United Kingdom 16 500 1.0× 332 1.6× 83 0.7× 76 0.9× 174 2.1× 24 698

Countries citing papers authored by Carlo Seneci

Since Specialization
Citations

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

Fields of papers citing papers by Carlo Seneci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlo Seneci

This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Seneci. A scholar is included among the top collaborators of Carlo Seneci 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 Carlo Seneci. Carlo Seneci 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.
Seneci, Carlo, et al.. (2024). CO2 Laser Welding of Low-Density Polyethylene for Soft Linear Eversion Robot Fabrication. 934–940. 1 indexed citations
2.
3.
Sadati, S. M. Hadi, Carlo Seneci, Edward Bloch, et al.. (2020). Optic Nerve Sheath Fenestration With a Multi-Arm Continuum Robot. IEEE Robotics and Automation Letters. 5(3). 4874–4881. 20 indexed citations
4.
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
5.
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
6.
Gras, Gauthier, Carlo Seneci, Πέτρος Γιαταγάνας, & Guang‐Zhong Yang. (2018). Gaze-Assisted Adaptive Motion Scaling Optimization Using Graded and Preference Based Bayesian Approaches. 3 indexed citations
7.
Wisanuvej, Piyamate, Gauthier Gras, Konrad Leibrandt, et al.. (2017). Master manipulator designed for highly articulated robotic instruments in single access surgery. Spiral (Imperial College London). 15 indexed citations
8.
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
9.
Gras, Gauthier, Konrad Leibrandt, Piyamate Wisanuvej, et al.. (2017). Implicit gaze-assisted adaptive motion scaling for highly articulated instrument manipulation. Spiral (Imperial College London). 13 indexed citations
10.
Malosio, Matteo, Marco Caimmi, Matjaž Mihelj, et al.. (2016). An affordable, adaptable, and hybrid assistive device for upper-limb neurorehabilitation. Journal of Rehabilitation and Assistive Technologies Engineering. 3. 2479534868–2479534868. 4 indexed citations
11.
Gandolla, Marta, Simona Ferrante, Giancarlo Ferrigno, et al.. (2016). Artificial neural network EMG classifier for functional hand grasp movements prediction. Journal of International Medical Research. 45(6). 1831–1847. 49 indexed citations
12.
Patel, Nisha, Carlo Seneci, Jianzhong Shang, et al.. (2015). Evaluation of a novel flexible snake robot for endoluminal surgery. Surgical Endoscopy. 29(11). 3349–3355. 27 indexed citations
13.
Marcus, Hani J., Carlo Seneci, Archie Hughes‐Hallett, et al.. (2015). Comparative Performance in Single-Port Versus Multiport Minimally Invasive Surgery, and Small Versus Large Operative Working Spaces. Surgical Innovation. 23(2). 148–155. 12 indexed citations
14.
Seneci, Carlo, Jianzhong Shang, Ara Darzi, & Guang‐Zhong Yang. (2015). Rapid manufacturing with selective laser melting for robotic surgical tools: Design and process considerations. 824–830. 8 indexed citations
15.
Zuo, Siyang, et al.. (2015). Toward Intraoperative Breast Endomicroscopy With a Novel Surface-Scanning Device. IEEE Transactions on Biomedical Engineering. 62(12). 2941–2952. 22 indexed citations
16.
Gowers, Sally A. N., Vincenzo F. Curto, Carlo Seneci, et al.. (2015). 3D Printed Microfluidic Device with Integrated Biosensors for Online Analysis of Subcutaneous Human Microdialysate. Analytical Chemistry. 87(15). 7763–7770. 147 indexed citations
17.
Patel, Nisha, Carlo Seneci, Guang‐Zhong Yang, Ara Darzi, & Julian Teare. (2014). Flexible platforms for natural orifice transluminal and endoluminal surgery. SHILAP Revista de lepidopterología. 2(2). E117–E123. 23 indexed citations
18.
Seneci, Carlo, Jianzhong Shang, Konrad Leibrandt, et al.. (2014). Design and evaluation of a novel flexible robot for transluminal and endoluminal surgery. 22. 1314–1321. 10 indexed citations
19.
Marcus, Hani J., Carlo Seneci, Christopher J. Payne, et al.. (2013). Robotics in Keyhole Transcranial Endoscope-Assisted Microsurgery. Operative Neurosurgery. 10(1). 84–96. 30 indexed citations
20.
Zhang, Zhiqiang, Jianzhong Shang, Carlo Seneci, & Guang‐Zhong Yang. (2013). Snake robot shape sensing using micro-inertial sensors. 831–836. 13 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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Rankless by CCL
2026