Shirine El Zaatari
- Industrial and Manufacturing Engineering top 2%
- Control and Systems Engineering top 5%
- Mechanical Engineering
- Biomedical Engineering
- Social Psychology
- Co-authors
- Zahid UsmanWeidong LiYong Zhou
- Topics
- Robot Manipulation and Learning (6 papers)Modular Robots and Swarm Intelligence (5 papers)Manufacturing Process and Optimization (1 paper)
- Cited by
- Industrial and Manufacturing EngineeringControl and Systems EngineeringMedical Laboratory Technology
- Journals
- Robotics and Autonomous SystemsRobotics and Computer-Integrated ManufacturingJournal of Intelligent Manufacturing
- Partner nations
- United KingdomChina
In The Last Decade
Shirine El Zaatari
8 papers receiving 437 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Industrial and Manufacturing Engineering 212
- Control and Systems Engineering 192
- Mechanical Engineering 129
- Biomedical Engineering 63
- Social Psychology 61
Countries citing papers authored by Shirine El Zaatari
This map shows the geographic impact of Shirine El Zaatari'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 Shirine El Zaatari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shirine El Zaatari more than expected).
Fields of papers citing papers by Shirine El Zaatari
This network shows the impact of papers produced by Shirine El Zaatari. 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 Shirine El Zaatari. The network helps show where Shirine El Zaatari may publish in the future.
Co-authorship network of co-authors of Shirine El Zaatari
This figure shows the co-authorship network connecting the top 25 collaborators of Shirine El Zaatari. A scholar is included among the top collaborators of Shirine El Zaatari 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 Shirine El Zaatari. Shirine El Zaatari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 86 | |
| 3 | 15 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 19 | |
| 7 | 1 | |
| 8 | Cobot programming for collaborative industrial tasks: An overviewbreakdown → | 300 |
About Shirine El Zaatari
Shirine El Zaatari is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Mechanical Engineering, having authored 8 papers that have together received 451 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (6 papers), Modular Robots and Swarm Intelligence (5 papers) and Manufacturing Process and Optimization (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (212 citations), Control and Systems Engineering (192 citations) and Medical Laboratory Technology (11 citations). Shirine El Zaatari has collaborated with scholars based in United Kingdom and China. Frequent co-authors include Zahid Usman, Weidong Li, Weidong Li and Yong Zhou. Their work appears in journals such as Robotics and Autonomous Systems, Robotics and Computer-Integrated Manufacturing and Journal of Intelligent Manufacturing.
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.