Eman M. El-Gendy
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Computational Theory and Mathematics top 10%
- Electrical and Electronic Engineering
- Co-authors
- Mahmoud M. SaafanHossam Magdy BalahaAmira Y. HaikalFatma M. TalaatSamah A. GamelHanaa ZainEldinAbdelhameed IbrahimSohail Contractor
- Topics
- AI in cancer detection (6 papers)COVID-19 diagnosis using AI (4 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)
- Journals
- Scientific ReportsExpert Systems with ApplicationsIndustrial & Engineering Chemistry Research
- Partner nations
- EgyptSaudi ArabiaUnited States
In The Last Decade
Eman M. El-Gendy
21 papers receiving 437 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 196
- Computer Vision and Pattern Recognition 110
- Radiology, Nuclear Medicine and Imaging 95
- Computational Theory and Mathematics 43
- Electrical and Electronic Engineering 43
Countries citing papers authored by Eman M. El-Gendy
This map shows the geographic impact of Eman M. El-Gendy'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 Eman M. El-Gendy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eman M. El-Gendy more than expected).
Fields of papers citing papers by Eman M. El-Gendy
This network shows the impact of papers produced by Eman M. El-Gendy. 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 Eman M. El-Gendy. The network helps show where Eman M. El-Gendy may publish in the future.
Co-authorship network of co-authors of Eman M. El-Gendy
This figure shows the co-authorship network connecting the top 25 collaborators of Eman M. El-Gendy. A scholar is included among the top collaborators of Eman M. El-Gendy 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 Eman M. El-Gendy. Eman M. El-Gendy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 17 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 20 | |
| 11 | 1 | |
| 12 | 32 | |
| 13 | 20 | |
| 14 | 19 | |
| 15 | 9 | |
| 16 | 43 | |
| 17 | 30 | |
| 18 | 59 | |
| 19 | 32 | |
| 20 | 11 |
About Eman M. El-Gendy
Eman M. El-Gendy is a scholar working on Health Information Management, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 451 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), COVID-19 diagnosis using AI (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Health Information Management (31 citations), Health Informatics (9 citations) and Artificial Intelligence (196 citations). Eman M. El-Gendy has collaborated with scholars based in Egypt, Saudi Arabia and United States. Frequent co-authors include Mahmoud M. Saafan, Hossam Magdy Balaha, Amira Y. Haikal, Fatma M. Talaat, Samah A. Gamel, Hanaa ZainEldin, Abdelhameed Ibrahim, Sohail Contractor, Mohamed Shehata and Guruprasad A. Giridharan. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and Industrial & Engineering Chemistry Research.
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.