Amr Mohamed

9.3k total citations · 2 hit papers
316 papers, 5.7k citations indexed

About

Amr Mohamed is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Amr Mohamed has authored 316 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 174 papers in Computer Networks and Communications, 109 papers in Electrical and Electronic Engineering and 76 papers in Computer Vision and Pattern Recognition. Recurrent topics in Amr Mohamed's work include Advanced MIMO Systems Optimization (53 papers), IoT and Edge/Fog Computing (46 papers) and Cooperative Communication and Network Coding (41 papers). Amr Mohamed is often cited by papers focused on Advanced MIMO Systems Optimization (53 papers), IoT and Edge/Fog Computing (46 papers) and Cooperative Communication and Network Coding (41 papers). Amr Mohamed collaborates with scholars based in Qatar, Canada and United States. Amr Mohamed's co-authors include Mohsen Guizani, Aiman Erbad, Abdulla Al‐Ali, Alaa Awad Abdellatif, Tamer Khattab, Xiaojiang Du, Carla Fabiana Chiasserini, Ahmad Almogren, Md. Zia Uddin and Mohammed Ali Al-Garadi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Communications Surveys & Tutorials.

In The Last Decade

Amr Mohamed

293 papers receiving 5.5k citations

Hit Papers

A Survey of Machine and Deep Learning... 2017 2026 2020 2023 2022 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amr Mohamed Qatar 36 2.7k 1.5k 1.4k 1.4k 955 316 5.7k
Xiping Hu China 42 3.2k 1.2× 1.3k 0.9× 2.0k 1.5× 1.2k 0.9× 1.1k 1.1× 211 6.6k
Tao Gu China 41 2.5k 0.9× 971 0.6× 2.7k 1.9× 2.8k 2.1× 894 0.9× 229 6.7k
Fu Xiao China 37 2.0k 0.8× 1.5k 1.0× 2.1k 1.5× 905 0.7× 987 1.0× 341 5.5k
Nauman Aslam United Kingdom 36 2.0k 0.7× 731 0.5× 1.5k 1.1× 613 0.4× 428 0.4× 171 4.0k
Huadóng Ma China 46 3.4k 1.2× 1.7k 1.1× 2.4k 1.7× 3.0k 2.2× 640 0.7× 516 9.2k
Yang Zhang China 36 2.4k 0.9× 1.6k 1.1× 1.2k 0.9× 573 0.4× 1.1k 1.2× 248 5.3k
Pubudu N. Pathirana Australia 34 2.3k 0.8× 1.6k 1.1× 1.8k 1.3× 533 0.4× 1.3k 1.4× 241 6.4k
R. Simon Sherratt United Kingdom 33 1.7k 0.6× 973 0.6× 1.2k 0.8× 847 0.6× 733 0.8× 170 4.5k
Matthai Philipose United States 32 1.7k 0.6× 1.1k 0.8× 1.6k 1.1× 2.9k 2.1× 494 0.5× 87 5.4k

Countries citing papers authored by Amr Mohamed

Since Specialization
Citations

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

Fields of papers citing papers by Amr Mohamed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amr Mohamed

This figure shows the co-authorship network connecting the top 25 collaborators of Amr Mohamed. A scholar is included among the top collaborators of Amr Mohamed 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 Amr Mohamed. Amr Mohamed 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.
Mhaisen, Naram, et al.. (2025). DRONE-RL: Dynamic reinforcement learning for online navigation of UAVs in evolving environments. Knowledge-Based Systems. 334. 115147–115147.
3.
Rashed, Essam A., et al.. (2024). Transformers-based architectures for stroke segmentation: a review. Artificial Intelligence Review. 57(11). 4 indexed citations
4.
Badawy, Ahmed, et al.. (2024). A Survey of Machine Learning Innovations in Ambulance Services: Allocation, Routing, and Demand Estimation. IEEE Open Journal of Intelligent Transportation Systems. 5. 842–872. 1 indexed citations
5.
Abdellatif, Alaa Awad, et al.. (2024). ODL: Opportunistic Distributed Learning for Intelligent IoT Systems. IEEE Internet of Things Magazine. 7(4). 92–99.
6.
Baccour, Emna, Aiman Erbad, Amr Mohamed, Mounir Hamdi, & Mohsen Guizani. (2024). Game-Theoretic Federated Meta-learning for Blockchain-Assisted Metaverse. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–6.
7.
Erbad, Aiman, et al.. (2024). RL-Based Incentive Cooperative Data Learning Framework Over Blockchain in Healthcare Applications (RL-ICDL-BC). Qatar University QSpace (Qatar University). 90–96. 1 indexed citations
8.
Albaseer, Abdullatif, et al.. (2024). Optimized Federated Multitask Learning in Mobile Edge Networks: A Hybrid Client Selection and Model Aggregation Approach. IEEE Transactions on Vehicular Technology. 73(11). 17613–17629. 2 indexed citations
9.
Hamdi, Ali, et al.. (2022). Spatiotemporal data mining: a survey on challenges and open problems. RMIT Research Repository (RMIT University Library). 77 indexed citations
11.
Erbad, Aiman, et al.. (2022). Proportionally fair approach for tor's circuits scheduling. Qatar University QSpace (Qatar University). 1 indexed citations
12.
Baccour, Emna, Aiman Erbad, Amr Mohamed, Mounir Hamdi, & Mohsen Guizani. (2022). DistPrivacy: Privacy-Aware Distributed Deep Neural Networks in IoT surveillance systems. Qatar University QSpace (Qatar University). 11 indexed citations
13.
Butt, M. Majid, Ahmed H. Anwar, Amr Mohamed, & Tamer ElBatt. (2022). Effective capacity of cognitive radio links: Accessing primary feedback erroneously. Qatar University QSpace (Qatar University). 3 indexed citations
14.
Shafie, Ahmed El, et al.. (2022). Optimal spectrum access for a rechargeable cognitive radio user based on energy buffer state. Qatar University QSpace (Qatar University).
15.
Baccour, Emna, Aiman Erbad, Kashif Bilal, et al.. (2022). FacebookVideoLive18: A Live Video Streaming Dataset for Streams Metadata and Online Viewers Locations. Qatar University QSpace (Qatar University). 11 indexed citations
16.
Shafie, Ahmed El, et al.. (2022). On spectrum sharing between energy harvesting cognitive radio users and primary users. Qatar University QSpace (Qatar University). 3 indexed citations
17.
Abdellatif, Alaa Awad, Naram Mhaisen, Amr Mohamed, et al.. (2022). Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data. Qatar University QSpace (Qatar University). 79 indexed citations
18.
Haouari, Fatima, Emna Baccour, Aiman Erbad, Amr Mohamed, & Mohsen Guizani. (2022). QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach. Qatar University QSpace (Qatar University). 9 indexed citations
19.
Abdellatif, Alaa Awad, et al.. (2021). MEdge-Chain: Leveraging Edge Computing and Blockchain for Efficient Medical Data Exchange. IEEE Internet of Things Journal. 8(21). 15762–15775. 135 indexed citations
20.
Chkirbene, Zina, Aiman Erbad, Ridha Hamila, et al.. (2020). TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection. IEEE Access. 8. 95864–95877. 61 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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