Nadra Guizani
- Computer Networks and Communications top 0.5%
- IoT and Edge/Fog Computing 22
- Network Security and Intrusion Detection 10
- Information Systems top 0.5%
- Blockchain Technology Applications and Security 16
- Health Informatics top 2%
- Artificial Intelligence top 1%
- Privacy-Preserving Technologies in Data 10
- Signal Processing top 2%
- Advanced Malware Detection Techniques 19
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- Vehicular Ad Hoc Networks (VANETs) 14
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- Underwater Vehicles and Communication Systems 11
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- UAV Applications and Optimization 7
- Co-authors
- Xiaojiang DuMuhammad ImranM. Shamim HossainGhulam MuhammadZhihong TianNadeem JavaidXiaosong ZhangLiehuang Zhu
- Journals
- IEEE Access (5 papers)IEEE Journal on Selected Areas in Communications (2 papers)IEEE Communications Magazine (11 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
- Health Informatics 69
- Artificial Intelligence 1.2k
- Signal Processing 392
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
The 25 scholars most cited alongside Nadra Guizani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 38 | |
| 2 | 2022 | 2 | |
| 3 | STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multigraph Convolutional Networkbreakdown → | 2022 | 132 |
| 4 | 2022 | 14 | |
| 5 | 2021 | 9 | |
| 6 | 2021 | 10 | |
| 7 | 2020 | 73 | |
| 8 | 2020 | 21 | |
| 9 | 2020 | 2 | |
| 10 | 2020 | 23 | |
| 11 | 2019 | 39 | |
| 12 | 2019 | 8 | |
| 13 | 2019 | 101 | |
| 14 | 2019 | 18 | |
| 15 | Privacy-Preserving and Efficient Aggregation Based on Blockchain for Power Grid Communications in Smart Communitiesbreakdown → | 2018 | 274 |
| 16 | 2018 | 16 | |
| 17 | 2018 | 38 | |
| 18 | 2017 | 2 | |
| 19 | 2017 | 1 | |
| 20 | 2017 | 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), Blockchain Technology Applications and Security (16 papers), Vehicular Ad Hoc Networks (VANETs) (14 papers), Underwater Vehicles and Communication Systems (11 papers), Network Security and Intrusion Detection (10 papers), Privacy-Preserving Technologies in Data (10 papers) and UAV Applications and Optimization (7 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.