Anis Sahbani
- Control and Systems Engineering top 2%
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Aerospace Engineering top 10%
- Co-authors
- Sahar El-KhouryPhilippe BidaudThierry SiméonJuan CortésJean‐Paul LaumondGuillaume MorelVéronique PerdereauAgnès Roby-Brami
- Topics
- Robot Manipulation and Learning (17 papers)Robotic Mechanisms and Dynamics (7 papers)Soft Robotics and Applications (7 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Partner nations
- FranceTunisiaSaudi Arabia
In The Last Decade
Anis Sahbani
40 papers receiving 863 citations
Peers
Comparison fields: 5 of 69
- Control and Systems Engineering 649
- Biomedical Engineering 407
- Computer Vision and Pattern Recognition 318
- Artificial Intelligence 131
- Aerospace Engineering 112
Countries citing papers authored by Anis Sahbani
This map shows the geographic impact of Anis Sahbani'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 Anis Sahbani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anis Sahbani more than expected).
Fields of papers citing papers by Anis Sahbani
This network shows the impact of papers produced by Anis Sahbani. 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 Anis Sahbani. The network helps show where Anis Sahbani may publish in the future.
Co-authorship network of co-authors of Anis Sahbani
This figure shows the co-authorship network connecting the top 25 collaborators of Anis Sahbani. A scholar is included among the top collaborators of Anis Sahbani 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 Anis Sahbani. Anis Sahbani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 8 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 9 | |
| 12 | 0 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 40 | |
| 16 | 48 | |
| 17 | 23 | |
| 18 | Handling Objects by Their Handles | 17 |
| 19 | 43 | |
| 20 | Simulation of hyibrd systems using stateflow | 7 |
About Anis Sahbani
Anis Sahbani is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 48 papers that have together received 897 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (17 papers), Robotic Mechanisms and Dynamics (7 papers) and Soft Robotics and Applications (7 papers). The work is most often cited by research in Control and Systems Engineering (649 citations), Computer Vision and Pattern Recognition (318 citations) and Human-Computer Interaction (74 citations). Anis Sahbani has collaborated with scholars based in France, Tunisia and Saudi Arabia. Frequent co-authors include Sahar El-Khoury, Philippe Bidaud, Thierry Siméon, Juan Cortés, Jean‐Paul Laumond, Guillaume Morel, Véronique Perdereau, Agnès Roby-Brami, Najoua Essoukri Ben Amara and Vincent Crocher. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Access.
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.