Amal Farag
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
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- Medical Image Segmentation Techniques 15
- Advanced Neural Network Applications 5
- Image Retrieval and Classification Techniques 4
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- Radiomics and Machine Learning in Medical Imaging 10
- Medical Imaging Techniques and Applications 4
- Co-authors
- Ronald M. Summers (4 shared papers)Le Lü (3 shared papers)Holger R. Roth (3 shared papers)Aly A. Farag (19 shared papers)Evrim Türkbey (2 shared papers)Hossam E. Abd El Munim (6 shared papers)Nathan Lay (1 shared paper)Andrew Sohn (1 shared paper)
- Journals
- IEEE Transactions on Image Processing (2 papers)International Journal of Computer Assisted Radiology and Surgery (1 paper)Medical Image Analysis (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- United StatesEgyptJapan
In The Last Decade
Amal Farag
31 papers receiving 846 citations
Peers
Comparison fields: 5 of 91
- Radiology, Nuclear Medicine and Imaging 587
- Computer Vision and Pattern Recognition 426
- Artificial Intelligence 263
- Neurology 67
- Pulmonary and Respiratory Medicine 235
Countries citing papers authored by Amal Farag
This map shows the geographic impact of Amal Farag'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 Amal Farag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amal Farag more than expected).
Fields of papers citing papers by Amal Farag
This network shows the impact of papers produced by Amal Farag. 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 Amal Farag. The network helps show where Amal Farag may publish in the future.
Co-authors
The 25 scholars most cited alongside Amal Farag, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 229 | |
| 2 | 2016 | 133 | |
| 3 | 2015 | 128 | |
| 4 | 2013 | 115 | |
| 5 | 2003 | 46 | |
| 6 | 2011 | 38 | |
| 7 | 2010 | 32 | |
| 8 | 2017 | 23 | |
| 9 | 2006 | 16 | |
| 10 | 2019 | 15 | |
| 11 | 2013 | 10 | |
| 12 | 2014 | 10 | |
| 13 | 2010 | 9 | |
| 14 | 2006 | 8 | |
| 15 | 2012 | 8 | |
| 16 | 2010 | 7 | |
| 17 | 2013 | 7 | |
| 18 | 2012 | 7 | |
| 19 | 2017 | 6 | |
| 20 | 2011 | 6 |
About Amal Farag
Amal Farag is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence and Oncology, having authored 34 papers that have together received 885 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (15 papers), Lung Cancer Diagnosis and Treatment (13 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Advanced Neural Network Applications (5 papers), Medical Imaging Techniques and Applications (4 papers), Image Retrieval and Classification Techniques (4 papers), AI in cancer detection (4 papers) and Colorectal Cancer Screening and Detection (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (587 citations), Computer Vision and Pattern Recognition (426 citations), Artificial Intelligence (263 citations), Neurology (67 citations) and Pulmonary and Respiratory Medicine (235 citations). Amal Farag has collaborated with scholars based in United States, Egypt and Japan. Frequent co-authors include Ronald M. Summers, Le Lü, Holger R. Roth, Aly A. Farag, Evrim Türkbey, Hossam E. Abd El Munim, Nathan Lay, Andrew Sohn, Adam P. Harrison and James H. Graham. Their work appears in journals such as IEEE Transactions on Image Processing, International Journal of Computer Assisted Radiology and Surgery, Medical Image Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence and Lecture notes in computer science.
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.