Nadra Guizani
- Computer Networks and Communications top 0.5%
- Information Systems top 0.5%
- Artificial Intelligence top 1%
- Electrical and Electronic Engineering top 5%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Xiaojiang DuMuhammad ImranM. Shamim HossainGhulam MuhammadZhihong TianNadeem JavaidXiaosong ZhangLiehuang Zhu
- Topics
- IoT and Edge/Fog Computing (22 papers)Advanced Malware Detection Techniques (19 papers)Blockchain Technology Applications and Security (16 papers)
- Partner nations
- United StatesChinaSaudi Arabia
In The Last Decade
Nadra Guizani
103 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Computer Networks and Communications 2.2k
- Information Systems 1.4k
- Artificial Intelligence 1.2k
- Electrical and Electronic Engineering 1.1k
- Computer Vision and Pattern Recognition 443
Countries citing papers authored by Nadra Guizani
This map shows the geographic impact of Nadra Guizani'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 Nadra Guizani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadra Guizani more than expected).
Fields of papers citing papers by Nadra Guizani
This network shows the impact of papers produced by Nadra Guizani. 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 Nadra Guizani. The network helps show where Nadra Guizani may publish in the future.
Co-authorship network of co-authors of Nadra Guizani
This figure shows the co-authorship network connecting the top 25 collaborators of Nadra Guizani. A scholar is included among the top collaborators of Nadra Guizani 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 Nadra Guizani. Nadra Guizani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 38 | |
| 2 | 2 | |
| 3 | STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multigraph Convolutional Networkbreakdown → | 132 |
| 4 | 14 | |
| 5 | 9 | |
| 6 | 10 | |
| 7 | 73 | |
| 8 | 21 | |
| 9 | 2 | |
| 10 | 23 | |
| 11 | 39 | |
| 12 | 8 | |
| 13 | 101 | |
| 14 | 18 | |
| 15 | Privacy-Preserving and Efficient Aggregation Based on Blockchain for Power Grid Communications in Smart Communitiesbreakdown → | 274 |
| 16 | 16 | |
| 17 | 38 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 17 |
About Nadra Guizani
Nadra Guizani is a scholar working on Computer Networks and Communications, Signal Processing and Health Informatics, having authored 104 papers that have together received 4.4k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (22 papers), Advanced Malware Detection Techniques (19 papers) and Blockchain Technology Applications and Security (16 papers). The work is most often cited by research in Computer Networks and Communications (2.2k citations), Information Systems (1.4k citations) and Health Informatics (69 citations). Nadra Guizani has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Xiaojiang Du, Muhammad Imran, M. Shamim Hossain, Ghulam Muhammad, Zhihong Tian, Nadeem Javaid, Xiaosong Zhang, Liehuang Zhu, Daojing He and Nabil Alrajeh. Their work appears in journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and IEEE Communications Magazine.
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.