Mohammed S. Elbamby

1.4k total citations · 1 hit paper
14 papers, 868 citations indexed

About

Mohammed S. Elbamby is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohammed S. Elbamby has authored 14 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 9 papers in Electrical and Electronic Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohammed S. Elbamby's work include Caching and Content Delivery (5 papers), Opportunistic and Delay-Tolerant Networks (4 papers) and Advanced MIMO Systems Optimization (4 papers). Mohammed S. Elbamby is often cited by papers focused on Caching and Content Delivery (5 papers), Opportunistic and Delay-Tolerant Networks (4 papers) and Advanced MIMO Systems Optimization (4 papers). Mohammed S. Elbamby collaborates with scholars based in Finland, South Korea and Egypt. Mohammed S. Elbamby's co-authors include Mehdi Bennis, Cristina Perfecto, Klaus Doppler, Walid Saad, Javier Del Ser, Matti Latva‐aho, Sumudu Samarakoon, Xianfu Chen, Chen–Feng Liu and Jihong Park and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Communications and IEEE Network.

In The Last Decade

Mohammed S. Elbamby

14 papers receiving 847 citations

Hit Papers

Toward Low-Latency and Ultra-Reliable Virtual Reality 2018 2026 2020 2023 2018 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Toward Low-Latency and Ultra-Reliable Virtual Reality
    2018 392 citations Mohammed S. Elbamby, Cristina Perfecto et al. IEEE Network profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammed S. Elbamby Finland 8 456 341 246 106 104 14 868
Cristina Perfecto Spain 11 418 0.9× 434 1.3× 248 1.0× 96 0.9× 102 1.0× 19 980
Aaron Carroll Australia 6 644 1.4× 835 2.4× 252 1.0× 144 1.4× 78 0.8× 6 1.2k
Kyu-Han Kim United States 16 700 1.5× 568 1.7× 149 0.6× 84 0.8× 150 1.4× 43 1.1k
A. Smailagic United States 6 481 1.1× 246 0.7× 441 1.8× 149 1.4× 64 0.6× 7 778
Yoshitaka Shibata Japan 17 771 1.7× 311 0.9× 241 1.0× 80 0.8× 118 1.1× 263 1.2k
Vladimir Poulkov Bulgaria 13 413 0.9× 355 1.0× 155 0.6× 36 0.3× 37 0.4× 153 798
Kebin Liu China 14 244 0.5× 220 0.6× 186 0.8× 87 0.8× 39 0.4× 27 694
Pi-Cheng Hsiu Taiwan 20 634 1.4× 677 2.0× 317 1.3× 66 0.6× 48 0.5× 89 1.2k
Andy Harter United Kingdom 6 672 1.5× 652 1.9× 484 2.0× 95 0.9× 99 1.0× 7 1.2k
Xueshi Hou United States 11 736 1.6× 535 1.6× 273 1.1× 262 2.5× 34 0.3× 18 1.1k

Countries citing papers authored by Mohammed S. Elbamby

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed S. Elbamby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammed S. Elbamby. 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 Mohammed S. Elbamby. The network helps show where Mohammed S. Elbamby may publish in the future.

Co-authorship network of co-authors of Mohammed S. Elbamby

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

All Works

14 of 14 papers shown
1.
Mostafa, Salwa, Mohammed S. Elbamby, Mohamed K. Abdel-Aziz, & Mehdi Bennis. (2024). Intent Profiling and Translation Through Emergent Communication. 5281–5286. 1 indexed citations
2.
Abdel-Aziz, Mohamed K., Mohammed S. Elbamby, Sumudu Samarakoon, & Mehdi Bennis. (2024). Cooperative Multi-Agent Learning for Navigation via Structured State Abstraction. IEEE Transactions on Communications. 72(6). 3454–3462. 7 indexed citations
3.
Abdelrahman, Mostafa, Mohammed S. Elbamby, & Vilho Räisänen. (2021). Proactive Scheduling and Caching for Wireless VR Viewport Streaming. 1–6. 2 indexed citations
4.
Perfecto, Cristina, Mohammed S. Elbamby, Javier Del Ser, & Mehdi Bennis. (2020). Taming the Latency in Multi-User VR 360°: A QoE-Aware Deep Learning-Aided Multicast Framework. IEEE Transactions on Communications. 68(4). 2491–2508. 89 indexed citations
5.
Elbamby, Mohammed S., Cristina Perfecto, Chen–Feng Liu, et al.. (2019). Wireless edge computing with latency and reliability guarantees. University of Oulu Repository (University of Oulu). 115 indexed citations
6.
Elbamby, Mohammed S., Cristina Perfecto, Mehdi Bennis, & Klaus Doppler. (2018). Edge computing meets millimeter-wave enabled VR:paving the way to cutting the cord. University of Oulu Repository (University of Oulu). 61 indexed citations
7.
Elbamby, Mohammed S., Mehdi Bennis, Walid Saad, Matti Latva‐aho, & Choong Seon Hong. (2018). Proactive edge computing in fog networks with latency and reliability guarantees. EURASIP Journal on Wireless Communications and Networking. 2018(1). 35 indexed citations
8.
Elbamby, Mohammed S., Cristina Perfecto, Mehdi Bennis, & Klaus Doppler. (2018). Toward Low-Latency and Ultra-Reliable Virtual Reality. IEEE Network. 32(2). 78–84. 392 indexed citations breakdown →
9.
Elbamby, Mohammed S., Mehdi Bennis, & Walid Saad. (2017). Proactive edge computing in latency-constrained fog networks. University of Oulu Repository (University of Oulu). 91 indexed citations
10.
Elbamby, Mohammed S., et al.. (2017). Resource Optimization and Power Allocation in Full Duplex Non-Orthogonal Multiple Access (FD-NOMA) Networks. 4 indexed citations
11.
Elbamby, Mohammed S., Mehdi Bennis, Walid Saad, Mérouane Debbah, & Matti Latva‐aho. (2017). Resource optimization and power allocation in in-band full duplex-enabled non-orthogonal multiple access networks. IEEE Journal on Selected Areas in Communications. 35(12). 2860–2873. 59 indexed citations
12.
Elbamby, Mohammed S. & Khaled Elsayed. (2014). An auction approach to resource allocation with interference coordination in LTE-A systems. 1885–1890. 1 indexed citations
13.
Elbamby, Mohammed S. & Khaled Elsayed. (2013). Performance analysis of soft frequency reuse schemes for a multi-cell LTE-advanced system with carrier aggregation. 1528–1532. 5 indexed citations
14.
Elbamby, Mohammed S. & Khaled Elsayed. (2012). A transportation problem based resource allocation scheme for an LTE-Advanced system with carrier aggregation. 1–6. 6 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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