Mohamed Roushdy
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine
- Molecular Biology
- Co-authors
- Hala H. ZayedYasmeen GeorgeMohammed A.‐M. SalemBassant M. ElbagouryM. Abdel-AzizMarco AlfonseMohamed M. El NadyWalaa Gad
- Topics
- AI in cancer detection (10 papers)Biometric Identification and Security (8 papers)User Authentication and Security Systems (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- EgyptYemenSaudi Arabia
In The Last Decade
Mohamed Roushdy
72 papers receiving 841 citations
Peers
Comparison fields: 5 of 128
- Artificial Intelligence 386
- Computer Vision and Pattern Recognition 332
- Radiology, Nuclear Medicine and Imaging 231
- Pulmonary and Respiratory Medicine 97
- Molecular Biology 89
Countries citing papers authored by Mohamed Roushdy
This map shows the geographic impact of Mohamed Roushdy'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 Mohamed Roushdy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Roushdy more than expected).
Fields of papers citing papers by Mohamed Roushdy
This network shows the impact of papers produced by Mohamed Roushdy. 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 Mohamed Roushdy. The network helps show where Mohamed Roushdy may publish in the future.
Co-authorship network of co-authors of Mohamed Roushdy
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Roushdy. A scholar is included among the top collaborators of Mohamed Roushdy 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 Mohamed Roushdy. Mohamed Roushdy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | Artificial Intelligence for Glycation Site Prediction | 1 |
| 11 | 44 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 12 | |
| 17 | Effectiveness of the K-core Nodes as Seeds for Influence Maximisation in Dynamic Cascades | 3 |
| 18 | 3 | |
| 19 | A survey of EEG based user authentication schemes | 32 |
| 20 | Using GPU-accelerated Genetic Algorithm for non-linear motion deblurring in a single image | 2 |
About Mohamed Roushdy
Mohamed Roushdy is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Health Informatics, having authored 76 papers that have together received 910 indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Biometric Identification and Security (8 papers) and User Authentication and Security Systems (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (332 citations), Artificial Intelligence (386 citations) and Radiology, Nuclear Medicine and Imaging (231 citations). Mohamed Roushdy has collaborated with scholars based in Egypt, Yemen and Saudi Arabia. Frequent co-authors include Hala H. Zayed, Yasmeen George, Mohammed A.‐M. Salem, Bassant M. Elbagoury, M. Abdel-Aziz, Marco Alfonse, Mohamed M. El Nady, Walaa Gad, Abdel Halim Salem and Kenneth Revett. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.