Nidal Kamel

3.7k citations
200 papers · 2.8k · h-index 25

Impact in

Papers in

Nidal Kamel

190 papers receiving 2.7k citations

Peers

Nidal Kamel
Comparison fields: 5 of 144
  • Cognitive Neuroscience 1.4k
  • Computational Mathematics 31
  • Human-Computer Interaction 191
  • Signal Processing 328
  • Experimental and Cognitive Psychology 370
Replace Ganesh R. Naik with:
Ganesh R. Naik Australia
Marc M. Van Hulle Belgium
Armando Barreto United States
Wanzeng Kong China
Malek Adjouadi United States
Zhe Chen United States
Javier Escudero United Kingdom
Leonard J. Trejo United States
Rajesh Kumar Tripathy India
Yang Li China
Nidal Kamel relative to Ganesh R. Naik Australia Ganesh R. Naik's profile →
Citations per field
00.5×1.5×1.9×
Ganesh R. Naik · 1×
Citations per year

Countries citing papers authored by Nidal Kamel

Since Specialization
Citations

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

Fields of papers citing papers by Nidal Kamel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nidal Kamel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nidal Kamel Line = papers co-authored together Nidal Kamel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 200 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015259
2 2017214
3 2014126
4 2014114
5 201794
6 201486
7 201572
8 200872
9 202064
10 202158
11 201752
12 201751
13 201448
14 201535
15 201535
16 201433
17 201432
18 201732
19 202130
20 201828

About Nidal Kamel

Nidal Kamel is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Signal Processing, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 200 papers that have together received 2.8k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (70 papers), Blind Source Separation Techniques (42 papers), Functional Brain Connectivity Studies (27 papers), Neural dynamics and brain function (17 papers), Image and Signal Denoising Methods (16 papers), Speech and Audio Processing (12 papers), Advanced MRI Techniques and Applications (11 papers) and Wireless Communication Networks Research (10 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Computational Mathematics (31 citations), Human-Computer Interaction (191 citations), Signal Processing (328 citations) and Experimental and Cognitive Psychology (370 citations). Nidal Kamel has collaborated with scholars based in Malaysia, Pakistan and Saudi Arabia. Frequent co-authors include Aamir Saeed Malik, Ibrahima Faye, Munsif Ali Jatoi, Weng-Tink Chooi, Hafeez Ullah Amin, Muhammad Hussain, Norashikin Yahya, Rana Fayyaz Ahmad, Wajid Mumtaz and Ahmad Rauf Subhani. Their work appears in journals such as IEEE Access, Sensors, Multimedia Tools and Applications, International Journal of Imaging Systems and Technology and Frontiers in Psychiatry.

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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