Najwa Aaraj
- Artificial Intelligence top 10%
- Information Systems top 10%
- Signal Processing
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Co-authors
- Victor SucasasMarc ManzanoNiraj K. JhaAnand RaghunathanFrank H. P. FitzekRiccardo BassoliSrivaths RaviΓεώργιος Μαντάς
- Topics
- Security and Verification in Computing (4 papers)Cryptography and Data Security (3 papers)Biometric Identification and Security (3 papers)
- Journals
- Proceedings of the IEEEIEEE Transactions on Very Large Scale Integration (VLSI) SystemsIEEE Transactions on Cloud Computing
- Partner nations
- United StatesUnited Arab EmiratesUnited Kingdom
In The Last Decade
Najwa Aaraj
12 papers receiving 221 citations
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 160
- Information Systems 93
- Signal Processing 41
- Computer Vision and Pattern Recognition 40
- Computer Networks and Communications 39
Countries citing papers authored by Najwa Aaraj
This map shows the geographic impact of Najwa Aaraj'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 Najwa Aaraj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Najwa Aaraj more than expected).
Fields of papers citing papers by Najwa Aaraj
This network shows the impact of papers produced by Najwa Aaraj. 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 Najwa Aaraj. The network helps show where Najwa Aaraj may publish in the future.
Co-authorship network of co-authors of Najwa Aaraj
This figure shows the co-authorship network connecting the top 25 collaborators of Najwa Aaraj. A scholar is included among the top collaborators of Najwa Aaraj 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 Najwa Aaraj. Najwa Aaraj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 110 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 25 | |
| 7 | 1 | |
| 8 | 31 | |
| 9 | 10 | |
| 10 | 12 | |
| 11 | Virtualization-assisted Framework for Prevention of Software Vulnerability Based Security Attacks | 2 |
| 12 | 9 |
About Najwa Aaraj
Najwa Aaraj is a scholar working on Signal Processing, Artificial Intelligence and Information Systems, having authored 12 papers that have together received 234 indexed citations. Recurring topics across this work include Security and Verification in Computing (4 papers), Cryptography and Data Security (3 papers) and Biometric Identification and Security (3 papers). The work is most often cited by research in Artificial Intelligence (160 citations), Information Systems (93 citations) and Signal Processing (41 citations). Najwa Aaraj has collaborated with scholars based in United States, United Arab Emirates and United Kingdom. Frequent co-authors include Victor Sucasas, Marc Manzano, Niraj K. Jha, Anand Raghunathan, Frank H. P. Fitzek, Riccardo Bassoli, Srivaths Ravi, Γεώργιος Μαντάς, Jonathan Rodrı́guez and Mohammed Nabeel. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and IEEE Transactions on Cloud Computing.
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.