Samir Elmougy
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Information Systems top 5%
- Co-authors
- Esraa HassanAhmed GhoneimNoha A. HikalMahmoud Y. ShamsM. Shamim HossainShahenda SarhanAhmed A. Abd El‐LatifBassem Abd-El-Atty
- Topics
- Radiomics and Machine Learning in Medical Imaging (10 papers)COVID-19 diagnosis using AI (8 papers)Coding theory and cryptography (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Transactions on Information Theory
- Partner nations
- EgyptSaudi ArabiaUnited States
In The Last Decade
Samir Elmougy
66 papers receiving 897 citations
Peers
Comparison fields: 5 of 129
- Artificial Intelligence 338
- Computer Vision and Pattern Recognition 235
- Computer Networks and Communications 221
- Radiology, Nuclear Medicine and Imaging 211
- Information Systems 151
Countries citing papers authored by Samir Elmougy
This map shows the geographic impact of Samir Elmougy'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 Samir Elmougy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samir Elmougy more than expected).
Fields of papers citing papers by Samir Elmougy
This network shows the impact of papers produced by Samir Elmougy. 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 Samir Elmougy. The network helps show where Samir Elmougy may publish in the future.
Co-authorship network of co-authors of Samir Elmougy
This figure shows the co-authorship network connecting the top 25 collaborators of Samir Elmougy. A scholar is included among the top collaborators of Samir Elmougy 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 Samir Elmougy. Samir Elmougy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 13 | |
| 6 | 21 | |
| 7 | 1 | |
| 8 | 38 | |
| 9 | 40 | |
| 10 | 21 | |
| 11 | 41 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 120 | |
| 16 | 19 | |
| 17 | 12 | |
| 18 | 20 | |
| 19 | Naive Bayes Classifier based Arabic document categorization | 29 |
| 20 | Service Oriented Workflow Enhancement Blueprint Based on QoS and Graph Theory. | 1 |
About Samir Elmougy
Samir Elmougy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 70 papers that have together received 935 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), COVID-19 diagnosis using AI (8 papers) and Coding theory and cryptography (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (235 citations), Artificial Intelligence (338 citations) and Computer Networks and Communications (221 citations). Samir Elmougy has collaborated with scholars based in Egypt, Saudi Arabia and United States. Frequent co-authors include Esraa Hassan, Ahmed Ghoneim, Noha A. Hikal, Mahmoud Y. Shams, M. Shamim Hossain, Shahenda Sarhan, Ahmed A. Abd El‐Latif, Bassem Abd-El-Atty, A. S. Tolba and Ehab Essa. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Information Theory.
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.