Anis Sahbani

34 papers and 674 indexed citations i.

About

Anis Sahbani is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Anis Sahbani has authored 34 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 13 papers in Control and Systems Engineering and 9 papers in Biomedical Engineering. Recurrent topics in Anis Sahbani’s work include Robot Manipulation and Learning (13 papers), Robotics and Sensor-Based Localization (6 papers) and Muscle activation and electromyography studies (6 papers). Anis Sahbani is often cited by papers focused on Robot Manipulation and Learning (13 papers), Robotics and Sensor-Based Localization (6 papers) and Muscle activation and electromyography studies (6 papers). Anis Sahbani collaborates with scholars based in France, Tunisia and Saudi Arabia. Anis Sahbani's co-authors include Sahar El-Khoury, Philippe Bidaud, Jean‐Paul Laumond, Juan Cortés, Thierry Siméon, Agnès Roby-Brami, Véronique Perdereau, Vincent Crocher, Guillaume Morel and Waël Bachta and has published in prestigious journals such as Sensors, The International Journal of Robotics Research and IEEE Transactions on Robotics.

In The Last Decade

Co-authorship network of co-authors of Anis Sahbani i

Fields of papers citing papers by Anis Sahbani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Anis Sahbani

Since Specialization
Citations

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).

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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