Mahmoud Kamel

1.8k total citations · 1 hit paper
36 papers, 1.4k citations indexed

About

Mahmoud Kamel is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Cognitive Neuroscience. According to data from OpenAlex, Mahmoud Kamel has authored 36 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 11 papers in Computer Networks and Communications and 11 papers in Cognitive Neuroscience. Recurrent topics in Mahmoud Kamel's work include Advanced MIMO Systems Optimization (12 papers), EEG and Brain-Computer Interfaces (11 papers) and IoT Networks and Protocols (6 papers). Mahmoud Kamel is often cited by papers focused on Advanced MIMO Systems Optimization (12 papers), EEG and Brain-Computer Interfaces (11 papers) and IoT Networks and Protocols (6 papers). Mahmoud Kamel collaborates with scholars based in Canada, Saudi Arabia and Egypt. Mahmoud Kamel's co-authors include Walaa Hamouda, Amr Youssef, Long Bao Le, A. Girard, Khaled Elsayed, Mohammed J. Alhaddad, Anas A. Hadi, Yasser M. Kadah, Mohamed Elhattab and Mohamed Yehia Dahab and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Transactions on Communications and IEEE Transactions on Vehicular Technology.

In The Last Decade

Mahmoud Kamel

34 papers receiving 1.3k citations

Hit Papers

Ultra-Dense Networks: A Survey 2016 2026 2019 2022 2016 200 400 600
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. Ultra-Dense Networks: A Survey
    2016 689 citations Mahmoud Kamel, Walaa Hamouda et al. IEEE Communications Surveys & Tutorials profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mahmoud Kamel Canada 15 1.1k 704 117 95 74 36 1.4k
Stephen J. Shellhammer United States 11 926 0.8× 1.1k 1.5× 89 0.8× 40 0.4× 39 0.5× 16 1.4k
Tianheng Xu China 15 437 0.4× 289 0.4× 210 1.8× 71 0.7× 20 0.3× 93 667
Mohammed M. Alwakeel Saudi Arabia 18 1.1k 1.0× 360 0.5× 385 3.3× 33 0.3× 55 0.7× 52 1.3k
José Santos United Kingdom 9 348 0.3× 233 0.3× 56 0.5× 146 1.5× 11 0.1× 45 624
Nabil Sabor Egypt 17 387 0.4× 587 0.8× 22 0.2× 52 0.5× 121 1.6× 47 917
Dick Carrillo Brazil 15 303 0.3× 347 0.5× 92 0.8× 25 0.3× 17 0.2× 38 680
Alireza Keshavarz‐Haddad Iran 15 402 0.4× 579 0.8× 36 0.3× 27 0.3× 9 0.1× 47 779
Tuo Shi China 16 278 0.3× 353 0.5× 74 0.6× 22 0.2× 8 0.1× 51 688
Kyu-Han Kim United States 16 568 0.5× 700 1.0× 53 0.5× 82 0.9× 26 0.4× 43 1.1k
Mahasweta Sarkar United States 11 268 0.2× 377 0.5× 16 0.1× 54 0.6× 19 0.3× 68 574

Countries citing papers authored by Mahmoud Kamel

Since Specialization
Citations

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

Fields of papers citing papers by Mahmoud Kamel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahmoud Kamel

This figure shows the co-authorship network connecting the top 25 collaborators of Mahmoud Kamel. A scholar is included among the top collaborators of Mahmoud Kamel 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 Mahmoud Kamel. Mahmoud Kamel 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.
2.
Kamel, Mahmoud, et al.. (2020). Intelligent System for Price Premium Prediction in Online Auctions. International Journal of Advanced Computer Science and Applications. 11(3). 1 indexed citations
3.
Awad, Ahmed, et al.. (2020). DIA: User-defined interval analytics on distributed streams. Information Systems. 104. 101679–101679. 6 indexed citations
4.
Kamel, Mahmoud, Walaa Hamouda, & Amr Youssef. (2019). Uplink Coverage and Capacity Analysis of mMTC in Ultra-Dense Networks. IEEE Transactions on Vehicular Technology. 69(1). 746–759. 27 indexed citations
5.
Kamel, Mahmoud, et al.. (2019). A Deep-Learning Model for Predicting and Visualizing the Risk of Road Traffic Accidents in Saudi Arabia: A Tutorial Approach. International Journal of Advanced Computer Science and Applications. 10(11). 6 indexed citations
6.
Kamel, Mahmoud, Walaa Hamouda, & Amr Youssef. (2017). Physical Layer Security in Ultra-Dense Networks. IEEE Wireless Communications Letters. 6(5). 690–693. 41 indexed citations
7.
Kamel, Mahmoud, Walaa Hamouda, & Amr Youssef. (2017). Performance Analysis of Multiple Association in Ultra-Dense Networks. IEEE Transactions on Communications. 65(9). 3818–3831. 61 indexed citations
8.
Kamel, Mahmoud, et al.. (2017). Extracting Phase Space Morphological Features for Electroencephalogram-Based Brain-Computer Interface. Journal of Medical Imaging and Health Informatics. 7(4). 771–774. 2 indexed citations
9.
Kamel, Mahmoud, et al.. (2017). Characterization of phase space trajectories for Brain-Computer Interface. Biomedical Signal Processing and Control. 38. 55–66. 19 indexed citations
10.
Kamel, Mahmoud, Walaa Hamouda, & Amr Youssef. (2016). Multiple association in ultra-dense networks. 1–6. 32 indexed citations
11.
Kamel, Mahmoud, Walaa Hamouda, & Amr Youssef. (2016). Ultra-Dense Networks: A Survey. IEEE Communications Surveys & Tutorials. 18(4). 2522–2545. 689 indexed citations breakdown →
12.
Kamel, Mahmoud, Long Bao Le, & A. Girard. (2015). LTE multi-cell dynamic resource allocation for wireless network virtualization. 966–971. 22 indexed citations
13.
Kamel, Mahmoud, et al.. (2015). Forecasting Exchange Rates. 2(1). 38–57. 11 indexed citations
14.
Alhaddad, Mohammed J., et al.. (2014). Spectral subtraction denoising preprocessing block to improve P300-based brain-computer interfacing. BioMedical Engineering OnLine. 13(1). 36–36. 14 indexed citations
15.
Kamel, Mahmoud & Anas A. Hadi. (2014). Improving P300 Based Speller by Feature Selection. Journal of Medical Imaging and Health Informatics. 4(4). 469–487. 4 indexed citations
16.
Alhaddad, Mohammed J., et al.. (2014). P300-Brain Computer Interface Based on Ordinal Analysis of Time Series. 1. 458–465. 2 indexed citations
17.
18.
Kamel, Mahmoud, Long Bao Le, & A. Girard. (2014). LTE Wireless Network Virtualization: Dynamic Slicing via Flexible Scheduling. 1–5. 109 indexed citations
19.
Alhaddad, Mohammed J., et al.. (2013). Comparative study of data fusion algorithms in P300 Based BCI. Advances in computer science : an international journal. 2(4). 47–54.
20.
Alhaddad, Mohammed J., et al.. (2012). Diagnosis Autism by Fisher Linear Discriminant Analysis FLDA via EEG. 4(2). 45–54. 45 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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