Sherif E. Hussein

25 papers receiving 564 citations

Peers

Sherif E. Hussein
Comparison fields: 5 of 111
  • Neurology 49
  • Artificial Intelligence 215
  • Radiology, Nuclear Medicine and Imaging 126
  • Health Informatics 8
  • Computer Vision and Pattern Recognition 99
Replace Kadiyala Ramana with:
Kadiyala Ramana India
Tianyu Shen China
Saiful Azad Malaysia
Ben Othman Soufiene Tunisia
Khalid Mahmood Awan Pakistan
Ishfaq Yaseen Saudi Arabia
Abdelwahed Motwakel Saudi Arabia
Usha Devi Gandhi India
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Citations per field
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Citations per year

Countries citing papers authored by Sherif E. Hussein

Since Specialization
Citations

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

Fields of papers citing papers by Sherif E. Hussein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Sherif E. 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 Sherif E. Hussein Line = papers co-authored together Sherif E. Hussein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020162
2 202074
3 202062
4 201862
5 200261
6 201933
7 202028
8 201326
9 202021
10 201820
11 202112
12 20138
13 20246
14
Framework for Traffic Congestion Prediction
20166
15 20196
16 20095
17
Intention Detection Using a Neuro-Fuzzy EMG Classifier Increasing the Potential of the Gabor Matching Pursuit Algorithm to Help Detect the Intent of a Person to Stand Up or to Sit Down
20025
18 20135
19 20193
20 20183

About Sherif E. Hussein

Sherif E. Hussein is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Signal Processing and Media Technology, having authored 26 papers that have together received 614 indexed citations. Recurring topics across this work include Water Quality Monitoring Technologies (3 papers), Traffic Prediction and Management Techniques (3 papers), Traffic control and management (3 papers), Digital Imaging for Blood Diseases (2 papers), Anomaly Detection Techniques and Applications (2 papers), Transportation Planning and Optimization (2 papers), Biometric Identification and Security (2 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Neurology (49 citations), Artificial Intelligence (215 citations), Radiology, Nuclear Medicine and Imaging (126 citations), Health Informatics (8 citations) and Computer Vision and Pattern Recognition (99 citations). Sherif E. Hussein has collaborated with scholars based in Egypt, Russia and United Kingdom. Frequent co-authors include Abdelhameed Ibrahim‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Malcolm Granat, Marwa M. Eid, El‐Sayed M. El‐kenawy, Seyedali Mirjalili, M. Z. Rashad, Hesham Ali, Aboul Ella Hassanien, John Zaki and Ehab Essa. Their work appears in journals such as IEEE Access, Ain Shams Engineering Journal, PLoS ONE, Arabian Journal for Science and Engineering and Biomedical Signal Processing and Control.

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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