Nabil Zemiti
- Biomedical Engineering top 5%
- Soft Robotics and Applications 34
- Anatomy and Medical Technology 9
- Surgery top 10%
- Surgical Simulation and Training 20
- Cardiac and Coronary Surgery Techniques 4
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- Robot Manipulation and Learning 8
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- Augmented Reality Applications 6
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- Teleoperation and Haptic Systems 12
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- Ultrasound Imaging and Elastography 4
- Co-authors
- Guillaume MorelPhilippe PoignetChao LiuPedro MoreiraBarthélemy CagneauPhilippe CinquinIvan BricaultCéline Fouard
- Journals
- SHILAP Revista de lepidopterología (3 papers)PLoS ONE (1 paper)IEEE Transactions on Biomedical Engineering (2 papers)
- Partner nations
- FranceBrazilUnited States
In The Last Decade
Nabil Zemiti
54 papers receiving 766 citations
Peers
Comparison fields: 5 of 83
- Biomedical Engineering 576
- Surgery 379
- Control and Systems Engineering 166
- Health Informatics 9
- Computer Vision and Pattern Recognition 120
Countries citing papers authored by Nabil Zemiti
This map shows the geographic impact of Nabil Zemiti'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 Nabil Zemiti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nabil Zemiti more than expected).
Fields of papers citing papers by Nabil Zemiti
This network shows the impact of papers produced by Nabil Zemiti. 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 Nabil Zemiti. The network helps show where Nabil Zemiti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nabil Zemiti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 1 | |
| 9 | 2020 | 3 | |
| 10 | 2019 | 8 | |
| 11 | Towards a novel man-machine interface to speed up training on robot-assisted surgery | 2019 | 2 |
| 12 | Intraoperative Ultrasound-based Augmented Reality Guidance | 2019 | 2 |
| 13 | 2017 | 31 | |
| 14 | Towards unified dataset for Modeling and Monitoring of Computer Assisted Medical Interventions | 2017 | 0 |
| 15 | 2017 | 22 | |
| 16 | 2014 | 45 | |
| 17 | A modular CT/MRI-guided Teleoperation Platform for Robot Assisted Punctures Planning | 2014 | 1 |
| 18 | 2011 | 17 | |
| 19 | 2011 | 2 | |
| 20 | 2009 | 31 |
About Nabil Zemiti
Nabil Zemiti is a scholar working on Biomedical Engineering, Surgery and Computer Vision and Pattern Recognition, having authored 60 papers that have together received 789 indexed citations. Recurring topics across this work include Soft Robotics and Applications (34 papers), Surgical Simulation and Training (20 papers), Teleoperation and Haptic Systems (12 papers), Anatomy and Medical Technology (9 papers), Robot Manipulation and Learning (8 papers), Augmented Reality Applications (6 papers), Ultrasound Imaging and Elastography (4 papers) and Cardiac and Coronary Surgery Techniques (4 papers). The work is most often cited by research in Biomedical Engineering (576 citations), Surgery (379 citations) and Control and Systems Engineering (166 citations). Nabil Zemiti has collaborated with scholars based in France, Brazil and United States. Frequent co-authors include Guillaume Morel, Philippe Poignet, Chao Liu, Pedro Moreira, Barthélemy Cagneau, Philippe Cinquin, Ivan Bricault, Céline Fouard, Germain Forestier and Pierre Jannin. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.