Mahmoud Kamel

34 papers receiving 1.3k citations

Hit Papers

Ultra-Dense Networks: A Survey20162026201920222016200400600

Peers

Mahmoud Kamel
Comparison fields: 5 of 63
  • Electrical and Electronic Engineering 1.1k
  • Computer Networks and Communications 704
  • Aerospace Engineering 117
  • Cognitive Neuroscience 95
  • Media Technology 74
Replace Tianheng Xu with:
Tianheng Xu China
José Santos United Kingdom
Dick Carrillo Brazil
Mohammed M. Alwakeel Saudi Arabia
Samaneh Movassaghi Australia
Stephen J. Shellhammer United States
Mahasweta Sarkar United States
Alireza Keshavarz‐Haddad Iran
Nabil Sabor Egypt
Tuo Shi China
Mahmoud Kamel relative to Tianheng Xu China Tianheng Xu's profile →
Citations per field
00.5×10×15×17.5×
Tianheng Xu · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 1
3 6
4 27
5 6
6 41
7 61
8 2
9 19
10 32
11
Ultra-Dense Networks: A Surveybreakdown →
689
12 22
13 11
14 14
15 4
16 2
17 8
18 109
19
Comparative study of data fusion algorithms in P300 Based BCI
0
20
Diagnosis Autism by Fisher Linear Discriminant Analysis FLDA via EEG
45

About Mahmoud Kamel

Mahmoud Kamel is a scholar working on Cognitive Neuroscience, Signal Processing and Computer Networks and Communications, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (12 papers), EEG and Brain-Computer Interfaces (11 papers) and IoT Networks and Protocols (6 papers). The work is most often cited by research in Computer Networks and Communications (704 citations), Electrical and Electronic Engineering (1.1k citations) and Media Technology (74 citations). Mahmoud Kamel has collaborated with scholars based in Canada, Saudi Arabia and Egypt. Frequent 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. Their work appears in journals such as IEEE Communications Surveys & Tutorials, IEEE Transactions on Communications and IEEE Transactions on Vehicular Technology.

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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