Ahmed Elnakib
- Radiology, Nuclear Medicine and Imaging top 2%
- Computer Vision and Pattern Recognition top 2%
- Pulmonary and Respiratory Medicine top 10%
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- Ayman El‐BazGeorgy Gimel’farbFahmi KhalifaAhmed SolimanMohamed Abou El‐GharGarth M. BeacheHossam El-Din MoustafaManuel F. Casanova
- Topics
- Medical Image Segmentation Techniques (30 papers)Radiomics and Machine Learning in Medical Imaging (21 papers)AI in cancer detection (15 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingComputer Vision and Pattern RecognitionHealth Informatics
- Partner nations
- United StatesEgyptNew Zealand
In The Last Decade
Ahmed Elnakib
99 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 121
- Radiology, Nuclear Medicine and Imaging 878
- Computer Vision and Pattern Recognition 416
- Pulmonary and Respiratory Medicine 380
- Artificial Intelligence 347
- Cognitive Neuroscience 238
Countries citing papers authored by Ahmed Elnakib
This map shows the geographic impact of Ahmed Elnakib'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 Ahmed Elnakib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ahmed Elnakib more than expected).
Fields of papers citing papers by Ahmed Elnakib
This network shows the impact of papers produced by Ahmed Elnakib. 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 Ahmed Elnakib. The network helps show where Ahmed Elnakib may publish in the future.
Co-authorship network of co-authors of Ahmed Elnakib
This figure shows the co-authorship network connecting the top 25 collaborators of Ahmed Elnakib. A scholar is included among the top collaborators of Ahmed Elnakib 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 Ahmed Elnakib. Ahmed Elnakib 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 | 21 | |
| 3 | 26 | |
| 4 | 4 | |
| 5 | 21 | |
| 6 | 9 | |
| 7 | 17 | |
| 8 | 0 | |
| 9 | 16 | |
| 10 | 27 | |
| 11 | Deep segmentation of the liver and the hepatic tumors from abdomen CT images | 0 |
| 12 | 21 | |
| 13 | 8 | |
| 14 | 15 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | 15 | |
| 19 | 5 | |
| 20 | 38 |
About Ahmed Elnakib
Ahmed Elnakib is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ophthalmology, having authored 104 papers that have together received 1.6k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (30 papers), Radiomics and Machine Learning in Medical Imaging (21 papers) and AI in cancer detection (15 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (878 citations), Computer Vision and Pattern Recognition (416 citations) and Health Informatics (22 citations). Ahmed Elnakib has collaborated with scholars based in United States, Egypt and New Zealand. Frequent co-authors include Ayman El‐Baz, Georgy Gimel’farb, Fahmi Khalifa, Ahmed Soliman, Mohamed Abou El‐Ghar, Garth M. Beache, Hossam El-Din Moustafa, Manuel F. Casanova, Andrew E. Switala and Matthew Nitzken. Their work appears in journals such as Analytical Chemistry, Scientific Reports 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.