Ramy Hussein

40 papers receiving 856 citations

Peers

Ramy Hussein
Comparison fields: 5 of 78
  • Cognitive Neuroscience 463
  • Signal Processing 211
  • Neurology 58
  • Computer Vision and Pattern Recognition 127
  • Psychiatry and Mental health 78
Replace Fahd A. Alturki with:
Fahd A. Alturki Saudi Arabia
Fabio La Foresta Italy
Cosimo Ieracitano Italy
A. Sharmila India
Giorgio Biagetti Italy
Masatoshi Nakamura Japan
Zhizeng Luo China
Mohammad-Parsa Hosseini United States
Ali Hassan Pakistan
Reza Tafreshi Qatar
Ramy Hussein relative to Fahd A. Alturki Saudi Arabia Fahd A. Alturki's profile →
Citations per field
00.5×6.2×
Fahd A. Alturki · 1×
Citations per year

Countries citing papers authored by Ramy Hussein

Since Specialization
Citations

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

Fields of papers citing papers by Ramy Hussein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ramy Hussein, 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 Ramy Hussein Line = papers co-authored together Ramy Hussein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018190
2 201585
3 202163
4 202162
5 201842
6 201940
7 202239
8 201632
9 201731
10 202231
11 201631
12 201728
13 201726
14 201324
15 201820
16 201519
17 201615
18 201310
19 20228
20 20138

About Ramy Hussein

Ramy Hussein is a scholar working on Cognitive Neuroscience, Signal Processing, Materials Chemistry, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 47 papers that have together received 876 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (16 papers), Blind Source Separation Techniques (11 papers), High voltage insulation and dielectric phenomena (9 papers), Neuroscience and Neural Engineering (7 papers), Image and Signal Denoising Methods (7 papers), ECG Monitoring and Analysis (6 papers), Power Transformer Diagnostics and Insulation (5 papers) and Epilepsy research and treatment (3 papers). The work is most often cited by research in Cognitive Neuroscience (463 citations), Signal Processing (211 citations), Neurology (58 citations), Computer Vision and Pattern Recognition (127 citations) and Psychiatry and Mental health (78 citations). Ramy Hussein has collaborated with scholars based in Qatar, Canada and United States. Frequent co-authors include Rabab Ward, Z. Jane Wang, Khaled Shaban, Ayman El‐Hag, Soojin Lee, Hamid Palangi, Martin J. McKeown, Amr Mohamed, Masoud Alghoniemy and Lyes Saad Saoud. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Dielectrics and Electrical Insulation, High Voltage, Clinical Neurophysiology and Biomedicines.

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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