Yousra Chtouki
- Artificial Intelligence
- Information Systems
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Co-authors
- Nabil BenamarAbdelhakim HafidHamid HarroudSamir BennaniPeter TwiningDeirdre ButlerRoumen NikolovCarlos Pascual
- Topics
- Online Learning and Analytics (3 papers)IoT and Edge/Fog Computing (2 papers)Service-Oriented Architecture and Web Services (2 papers)
- Journals
- IEEE AccessTechnology Knowledge and LearningArXiv.org
- Partner nations
- MoroccoUnited KingdomNew Zealand
In The Last Decade
Yousra Chtouki
7 papers receiving 197 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 53
- Information Systems 39
- Electrical and Electronic Engineering 38
- Computer Networks and Communications 34
- Computer Vision and Pattern Recognition 34
Countries citing papers authored by Yousra Chtouki
This map shows the geographic impact of Yousra Chtouki'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 Yousra Chtouki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yousra Chtouki more than expected).
Fields of papers citing papers by Yousra Chtouki
This network shows the impact of papers produced by Yousra Chtouki. 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 Yousra Chtouki. The network helps show where Yousra Chtouki may publish in the future.
Co-authorship network of co-authors of Yousra Chtouki
This figure shows the co-authorship network connecting the top 25 collaborators of Yousra Chtouki. A scholar is included among the top collaborators of Yousra Chtouki 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 Yousra Chtouki. Yousra Chtouki 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 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | A Comprehensive Survey on TinyMLbreakdown → | 133 |
| 8 | 0 | |
| 9 | 12 | |
| 10 | 20 | |
| 11 | Service Orchestration Algorithm for Web Services: Evaluation and Analysis | 1 |
| 12 | 39 | |
| 13 | 1 |
About Yousra Chtouki
Yousra Chtouki is a scholar working on Computer Science Applications, Management Information Systems and Health Information Management, having authored 13 papers that have together received 210 indexed citations. Recurring topics across this work include Online Learning and Analytics (3 papers), IoT and Edge/Fog Computing (2 papers) and Service-Oriented Architecture and Web Services (2 papers). The work is most often cited by research in Computer Science Applications (22 citations), Information Systems (39 citations) and Computational Mathematics (1 citation). Yousra Chtouki has collaborated with scholars based in Morocco, United Kingdom and New Zealand. Frequent co-authors include Nabil Benamar, Abdelhakim Hafid, Hamid Harroud, Samir Bennani, Peter Twining, Deirdre Butler, Roumen Nikolov, Carlos Pascual and Teemu Valtonen. Their work appears in journals such as IEEE Access, Technology Knowledge and Learning and ArXiv.org.
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.