Sawsan AbdulRahman
- Artificial Intelligence top 2%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Information Systems top 5%
- Computer Science Applications top 5%
- Co-authors
- Azzam MouradChamseddine TalhiHanine ToutHakima Ould‐SlimaneMohsen GuizaniSafa OtoumOuns Bouachir
- Topics
- Privacy-Preserving Technologies in Data (7 papers)Cryptography and Data Security (5 papers)Mobile Crowdsensing and Crowdsourcing (3 papers)
- Journals
- IEEE Journal on Selected Areas in CommunicationsIEEE Internet of Things JournalVehicular Communications
- Partner nations
- LebanonUnited Arab EmiratesCanada
In The Last Decade
Sawsan AbdulRahman
6 papers receiving 741 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 619
- Computer Networks and Communications 218
- Electrical and Electronic Engineering 155
- Information Systems 125
- Computer Science Applications 112
Countries citing papers authored by Sawsan AbdulRahman
This map shows the geographic impact of Sawsan AbdulRahman'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 Sawsan AbdulRahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sawsan AbdulRahman more than expected).
Fields of papers citing papers by Sawsan AbdulRahman
This network shows the impact of papers produced by Sawsan AbdulRahman. 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 Sawsan AbdulRahman. The network helps show where Sawsan AbdulRahman may publish in the future.
Co-authorship network of co-authors of Sawsan AbdulRahman
This figure shows the co-authorship network connecting the top 25 collaborators of Sawsan AbdulRahman. A scholar is included among the top collaborators of Sawsan AbdulRahman 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 Sawsan AbdulRahman. Sawsan AbdulRahman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 21 | |
| 5 | 14 | |
| 6 | 218 | |
| 7 | A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyondbreakdown → | 504 |
About Sawsan AbdulRahman
Sawsan AbdulRahman is a scholar working on Computer Science Applications, Artificial Intelligence and Computer Networks and Communications, having authored 7 papers that have together received 761 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (7 papers), Cryptography and Data Security (5 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). The work is most often cited by research in Computer Science Applications (112 citations), Artificial Intelligence (619 citations) and Health Informatics (21 citations). Sawsan AbdulRahman has collaborated with scholars based in Lebanon, United Arab Emirates and Canada. Frequent co-authors include Azzam Mourad, Chamseddine Talhi, Hanine Tout, Hakima Ould‐Slimane, Mohsen Guizani, Safa Otoum and Ouns Bouachir. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Internet of Things Journal and Vehicular Communications.
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.