Rania A. Mokhtar

1.3k total citations
60 papers, 636 citations indexed

About

Rania A. Mokhtar is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Rania A. Mokhtar has authored 60 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Networks and Communications, 38 papers in Electrical and Electronic Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Rania A. Mokhtar's work include Cognitive Radio Networks and Spectrum Sensing (13 papers), Advanced MIMO Systems Optimization (12 papers) and Advanced Wireless Communication Technologies (10 papers). Rania A. Mokhtar is often cited by papers focused on Cognitive Radio Networks and Spectrum Sensing (13 papers), Advanced MIMO Systems Optimization (12 papers) and Advanced Wireless Communication Technologies (10 papers). Rania A. Mokhtar collaborates with scholars based in Sudan, Saudi Arabia and Malaysia. Rania A. Mokhtar's co-authors include Rashid A. Saeed, Elmustafa Sayed Ali, Mohammad Kamrul Hasan, Hesham Alhumyani, Mamoon M. Saeed, Shayla Islam, Maha Abdelhaq, Raed Alsaqour, S. Abdel‐Khalek and Othman Omran Khalifa and has published in prestigious journals such as IEEE Access, Sustainability and Alexandria Engineering Journal.

In The Last Decade

Rania A. Mokhtar

54 papers receiving 607 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Rania A. Mokhtar Sudan	15	373	341	131	101	77	60	636
Amin Mohajer Iran	14	416 1.1×	401 1.2×	109 0.8×	96 1.0×	87 1.1×	21	694
Shuja Ansari United Kingdom	14	250 0.7×	336 1.0×	69 0.5×	85 0.8×	77 1.0×	66	567
Ying Ju China	15	371 1.0×	523 1.5×	123 0.9×	199 2.0×	117 1.5×	50	834
Ping Dong China	14	669 1.8×	384 1.1×	159 1.2×	68 0.7×	86 1.1×	81	819
Haichuan Ding China	16	460 1.2×	504 1.5×	94 0.7×	132 1.3×	79 1.0×	69	777
Shikhar Verma Japan	11	376 1.0×	272 0.8×	78 0.6×	70 0.7×	80 1.0×	20	574
Nishat I Mowla South Korea	9	275 0.7×	202 0.6×	166 1.3×	106 1.0×	43 0.6×	16	486
Liseng Fan China	19	520 1.4×	569 1.7×	160 1.2×	160 1.6×	91 1.2×	22	853
Kaige Qu Canada	10	397 1.1×	256 0.8×	164 1.3×	68 0.7×	65 0.8×	28	632

Countries citing papers authored by Rania A. Mokhtar

Since Specialization

Citations

This map shows the geographic impact of Rania A. Mokhtar'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 Rania A. Mokhtar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rania A. Mokhtar more than expected).

Fields of papers citing papers by Rania A. Mokhtar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rania A. Mokhtar. 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 Rania A. Mokhtar. The network helps show where Rania A. Mokhtar may publish in the future.

Co-authorship network of co-authors of Rania A. Mokhtar

This figure shows the co-authorship network connecting the top 25 collaborators of Rania A. Mokhtar. A scholar is included among the top collaborators of Rania A. Mokhtar 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 Rania A. Mokhtar. Rania A. Mokhtar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Saeed, Mamoon M., et al.. (2025). Optimizing Computation Offloading in 6G Multi-Access Edge Computing Using Deep Reinforcement Learning. International journal of electrical and computer engineering systems. 16(8). 565–580.

Saeed, Rashid A., et al.. (2025). Optimizing downlink of CR-NOMA resource allocation: A fairness index approach to balancing system performance and energy efficiency. Scientific African. 28. e02754–e02754.

Hassan, Mohamed A., et al.. (2024). Optimizing Mobility IoT Device Networks with Dynamic RIS in mMIMO-Cooperative NOMA 6G Systems. 1–6. 1 indexed citations

Saeed, Mamoon M., et al.. (2024). Efficient Deep Post-Decision State Learning for Privacy-Conscious Offloading in MEC-Enabled 6G Networks. 1–7. 1 indexed citations

Ahmed, Zeinab E., Aisha Hassan Abdalla Hashim, Rania A. Mokhtar, & Mamoon M. Saeed. (2024). Intelligent Decision Support Systems: Transforming Smart Cities Management. 1–9.

Saeed, Mamoon M., Rashid A. Saeed, Maha Abdelhaq, et al.. (2023). Anomaly Detection in 6G Networks Using Machine Learning Methods. Electronics. 12(15). 3300–3300. 45 indexed citations

Ali, Elmustafa Sayed, et al.. (2023). Energy Efficient CH Selection Scheme Based on ABC and Q-Learning Approaches for IoUT Applications. Systems. 11(11). 529–529. 7 indexed citations

Saeed, Rashid A., Rania A. Mokhtar, Khalid Hamid, et al.. (2023). NOMA Cooperative Spectrum Sharing Average Capacity Improvement in 5G Network. Research Online (University of Wollongong). 653–658. 9 indexed citations

Mokhtar, Rania A., Rashid A. Saeed, & Hesham Alhumyani. (2022). Cooperative Fusion Architecture-based Distributed Spectrum Sensing Under Rayleigh Fading Channel. Wireless Personal Communications. 124(1). 839–865. 10 indexed citations

10.

Saeed, Mamoon M., Mohammad Kamrul Hasan, Ahmed J. Obaid, et al.. (2022). A comprehensive review on the users’ identity privacy for 5G networks. IET Communications. 16(5). 384–399. 18 indexed citations

11.

Alsaqour, Raed, Elmustafa Sayed Ali, Rania A. Mokhtar, et al.. (2022). Efficient Energy Mechanism in Heterogeneous WSNs for Underground Mining Monitoring Applications. IEEE Access. 10. 72907–72924. 18 indexed citations

12.

Saeed, Rashid A., et al.. (2022). Performance Evaluation of Downlink Coordinated Multipoint Joint Transmission under Heavy IoT Traffic Load. Wireless Communications and Mobile Computing. 2022(1). 12 indexed citations

13.

Mokhtar, Rania A., et al.. (2022). Machine Learning-Based Anomaly Detection Using K-Mean Array and Sequential Minimal Optimization. Electronics. 11(14). 2158–2158. 36 indexed citations

14.

Hasan, Mohammad Kamrul, Imran Memon, Rashid A. Saeed, et al.. (2021). A Systematic Review on Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications. Sustainability. 13(1). 338–338. 95 indexed citations

15.

Mokhtar, Rania A., et al.. (2021). Quality of Services Based on Intelligent IoT WLAN MAC Protocol Dynamic Real‐Time Applications in Smart Cities. Computational Intelligence and Neuroscience. 2021(1). 2287531–2287531. 20 indexed citations

16.

Hassan, Mona Bakri, Sameer Alsharif, Hesham Alhumyani, et al.. (2021). An Enhanced Cooperative Communication Scheme for Physical Uplink Shared Channel in NB-IoT. Wireless Personal Communications. 120(3). 2367–2386. 19 indexed citations

17.

Mokhtar, Rania A., Rashid A. Saeed, Hesham Alhumyani, Mashael Khayyat, & S. Abdel‐Khalek. (2021). Cluster mechanism for sensing data report using robust collaborative distributed spectrum sensing. Cluster Computing. 25(4). 2541–2556. 13 indexed citations

18.

Mokhtar, Rania A., et al.. (2021). Scheduling Algorithm for Grid Computing Using Shortest Job First with Time Quantum. Intelligent Automation & Soft Computing. 31(1). 581–590. 10 indexed citations

19.

Saeed, Rashid A., et al.. (2012). TVBDs coexistence by leverage sensing and geo-location database. 6 indexed citations

20.

Mokhtar, Rania A., et al.. (2010). Cooperative Spectrum Sensing with Distributed Detection Threshold. 176–181. 4 indexed citations

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.

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