Si‐Ahmed Naas
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Sociology and Political Science
- Information Systems
- Computer Vision and Pattern Recognition
- Topics
- Privacy-Preserving Technologies in Data (3 papers)IoT and Edge/Fog Computing (2 papers)Stochastic Gradient Optimization Techniques (2 papers)
In The Last Decade
Si‐Ahmed Naas
8 papers receiving 237 citations
Hit Papers
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 219
- Electrical and Electronic Engineering 33
- Sociology and Political Science 29
- Information Systems 26
- Computer Vision and Pattern Recognition 23
Countries citing papers authored by Si‐Ahmed Naas
This map shows the geographic impact of Si‐Ahmed Naas'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 Si‐Ahmed Naas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Si‐Ahmed Naas more than expected).
Fields of papers citing papers by Si‐Ahmed Naas
This network shows the impact of papers produced by Si‐Ahmed Naas. 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 Si‐Ahmed Naas. The network helps show where Si‐Ahmed Naas may publish in the future.
Co-authorship network of co-authors of Si‐Ahmed Naas
This figure shows the co-authorship network connecting the top 25 collaborators of Si‐Ahmed Naas. A scholar is included among the top collaborators of Si‐Ahmed Naas 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 Si‐Ahmed Naas. Si‐Ahmed Naas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | Privacy‐preserving federated learning based on multi‐key homomorphic encryptionbreakdown → | 222 |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 1 |
About Si‐Ahmed Naas
Si‐Ahmed Naas is a scholar working on Computer Science Applications, Signal Processing and Human-Computer Interaction, having authored 9 papers that have together received 244 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (3 papers), IoT and Edge/Fog Computing (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (219 citations), Health Informatics (4 citations) and Computer Science Applications (15 citations). Si‐Ahmed Naas has collaborated with scholars based in Finland, Japan and Germany. Frequent co-authors include Stephan Sigg, Jing Ma, Xixiang Lyu, Yusheng Ji, Mario Di Francesco, Miloud Bagaa and Tarik Taleb. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal and International Journal of Intelligent Systems.
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.