Yasser Gadallah

1.4k total citations
69 papers, 964 citations indexed

About

Yasser Gadallah is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Yasser Gadallah has authored 69 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Networks and Communications, 50 papers in Electrical and Electronic Engineering and 13 papers in Aerospace Engineering. Recurrent topics in Yasser Gadallah's work include Energy Efficient Wireless Sensor Networks (19 papers), IoT Networks and Protocols (17 papers) and Advanced MIMO Systems Optimization (17 papers). Yasser Gadallah is often cited by papers focused on Energy Efficient Wireless Sensor Networks (19 papers), IoT Networks and Protocols (17 papers) and Advanced MIMO Systems Optimization (17 papers). Yasser Gadallah collaborates with scholars based in Egypt, Canada and United Arab Emirates. Yasser Gadallah's co-authors include Dina S. Deif, Karim G. Seddik, Mikael Gidlund, Mohamed Hamdy Eldefrawy, Mohamed H. Ahmed, Hadia El‐Hennawy, Issa Khalil, Mohammad Hayajneh, Mohamed Adel Serhani and Abdallah Khreishah and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and Sensors.

In The Last Decade

Yasser Gadallah

63 papers receiving 927 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yasser Gadallah Egypt 16 654 554 151 129 108 69 964
Abbas Bradai France 20 689 1.1× 659 1.2× 113 0.7× 138 1.1× 41 0.4× 44 1.1k
Francesco Chiti Italy 20 984 1.5× 717 1.3× 150 1.0× 132 1.0× 51 0.5× 118 1.3k
Hamid Barati Iran 27 1.2k 1.8× 723 1.3× 87 0.6× 204 1.6× 41 0.4× 64 1.4k
Horst Hellbrück Germany 15 384 0.6× 616 1.1× 114 0.8× 67 0.5× 231 2.1× 85 1.0k
James Adu Ansere China 18 582 0.9× 460 0.8× 70 0.5× 173 1.3× 34 0.3× 43 956
Xiaojun Zhu China 15 549 0.8× 605 1.1× 195 1.3× 61 0.5× 77 0.7× 93 973
Alvin Lim United States 12 680 1.0× 525 0.9× 59 0.4× 112 0.9× 99 0.9× 58 910
Subir Halder Italy 18 574 0.9× 472 0.9× 53 0.4× 163 1.3× 61 0.6× 43 836
Marc Barceló Spain 13 460 0.7× 334 0.6× 96 0.6× 58 0.4× 39 0.4× 32 770
Linnyer B. Ruiz Brazil 13 770 1.2× 297 0.5× 115 0.8× 127 1.0× 48 0.4× 63 967

Countries citing papers authored by Yasser Gadallah

Since Specialization
Citations

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

Fields of papers citing papers by Yasser Gadallah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yasser Gadallah. 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 Yasser Gadallah. The network helps show where Yasser Gadallah may publish in the future.

Co-authorship network of co-authors of Yasser Gadallah

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

All Works

20 of 20 papers shown
1.
Gadallah, Yasser, et al.. (2025). Autonomous Real-Time Smoothness Control for Reliable DDQN-Based UAV Navigation Using Cellular Networks. IEEE Access. 13. 22011–22028.
2.
Yadav, Animesh, et al.. (2025). Exploring the 6G Potentials: Immersive, Hyperreliable, and Low-Latency Communication. IEEE Vehicular Technology Magazine. 20(1). 74–82. 4 indexed citations
3.
Khoshafa, Majid H., Yasser Gadallah, Telex M. N. Ngatched, & Mohamed H. Ahmed. (2024). Aerial Reconfigurable Intelligent Surface-Assisted LPWANs for IoT: A Cross-Layer Analysis. IEEE Wireless Communications Letters. 13(10). 2912–2916. 4 indexed citations
4.
Khoshafa, Majid H., Jules M. Moualeu, Sylvester Aboagye, et al.. (2024). RIS-Assisted Physical Layer Security in Emerging RF and Optical Wireless Communications Systems: A Comprehensive Survey. IEEE Communications Surveys & Tutorials. 27(4). 2156–2203. 32 indexed citations
5.
Gadallah, Yasser, et al.. (2023). Machine Learning-Based Uplink Scheduling Approaches for Mixed Traffic in Cellular Systems. IEEE Access. 11. 10238–10253. 1 indexed citations
6.
Gadallah, Yasser, et al.. (2023). Machine Learning-Based Multi-UAV Deployment for Uplink Traffic Sizing and Offloading in Cellular Networks. IEEE Access. 11. 71314–71325. 5 indexed citations
7.
Khoshafa, Majid H., Telex M. N. Ngatched, Yasser Gadallah, & Mohamed H. Ahmed. (2023). Securing LPWANs: A Reconfigurable Intelligent Surface (RIS)-Assisted UAV Approach. IEEE Wireless Communications Letters. 13(1). 158–162. 8 indexed citations
8.
Gadallah, Yasser, et al.. (2022). Cellular Network-Supported Machine Learning Techniques for Autonomous UAV Trajectory Planning. IEEE Access. 10. 131996–132011. 11 indexed citations
9.
Gadallah, Yasser, et al.. (2021). Uplink Scheduling for Mixed Grant-Based eMBB and Grant-Free URLLC Traffic in 5G Networks. 187–192. 4 indexed citations
10.
Gadallah, Yasser, et al.. (2021). An Optimized LTE-Based Technique for Drone Base Station Dynamic 3D Placement and Resource Allocation in Delay-Sensitive M2M Networks. IEEE Transactions on Mobile Computing. 22(2). 732–743. 19 indexed citations
11.
Gadallah, Yasser, et al.. (2021). Autonomous 3-D UAV Localization Using Cellular Networks: Deep Supervised Learning Versus Reinforcement Learning Approaches. IEEE Access. 9. 155234–155248. 20 indexed citations
12.
Gadallah, Yasser, et al.. (2020). Optimized 3D Drone Placement and Resource Allocation for LTE-Based M2M Communications. 1–5. 11 indexed citations
13.
Gadallah, Yasser, et al.. (2020). A Critical MTC Resource Allocation Approach for LTE Networks With Finite Blocklength Codes. IEEE Transactions on Vehicular Technology. 69(5). 5598–5609. 6 indexed citations
14.
Ahmed, Mohamed H., et al.. (2020). Cross‐layer resource allocation for critical MTC coexistent with human‐type communications in LTE: a two‐sided matching approach. IET Communications. 14(18). 3223–3230. 3 indexed citations
15.
Gadallah, Yasser, et al.. (2019). Matching-Based Resource Allocation for Critical MTC in Massive MIMO LTE Networks. IEEE Access. 7. 127141–127153. 12 indexed citations
16.
Gadallah, Yasser, et al.. (2019). Optimal Cross-Layer Resource Allocation for Critical MTC Traffic in Mixed LTE Networks. IEEE Transactions on Vehicular Technology. 68(6). 5944–5956. 8 indexed citations
17.
Gadallah, Yasser, et al.. (2017). A Statistical Priority-Based Scheduling Metric for M2M Communications in LTE Networks. IEEE Access. 5. 8106–8117. 25 indexed citations
18.
Gadallah, Yasser, et al.. (2017). Uniqueness-Based Resource Allocation for M2M Communications in Narrowband IoT Networks. 1–5. 5 indexed citations
19.
Gadallah, Yasser & Mohamed H. Ahmed. (2011). Applications of Wireless Sensor Networks. CRC Press, Inc. eBooks. 2 indexed citations
20.
Gadallah, Yasser & Thomas Kunz. (2004). PIES: Protocol independent energy saving algorithm. Proceedings of the International Conference on Parallel Processing. 4–12. 1 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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