Ahmed Alksas
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence
- Pulmonary and Respiratory Medicine
- Computer Vision and Pattern Recognition top 10%
- Genetics
- Co-authors
- Ayman El‐BazMohamed ShehataMohammed GhazalAhmed Abdel Khalek Abdel RazekAli MahmoudAhmed ShaffieAhmed SolimanSohail Contractor
- Topics
- Radiomics and Machine Learning in Medical Imaging (22 papers)COVID-19 diagnosis using AI (7 papers)Renal cell carcinoma treatment (6 papers)
- Journals
- Scientific ReportsIEEE AccessSensors
- Partner nations
- United StatesUnited Arab EmiratesEgypt
In The Last Decade
Ahmed Alksas
36 papers receiving 329 citations
Peers
Comparison fields: 5 of 56
- Radiology, Nuclear Medicine and Imaging 211
- Artificial Intelligence 73
- Pulmonary and Respiratory Medicine 72
- Computer Vision and Pattern Recognition 67
- Genetics 54
Countries citing papers authored by Ahmed Alksas
This map shows the geographic impact of Ahmed Alksas'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 Alksas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ahmed Alksas more than expected).
Fields of papers citing papers by Ahmed Alksas
This network shows the impact of papers produced by Ahmed Alksas. 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 Alksas. The network helps show where Ahmed Alksas may publish in the future.
Co-authorship network of co-authors of Ahmed Alksas
This figure shows the co-authorship network connecting the top 25 collaborators of Ahmed Alksas. A scholar is included among the top collaborators of Ahmed Alksas 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 Alksas. Ahmed Alksas 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 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 7 | |
| 11 | 22 | |
| 12 | 4 | |
| 13 | 10 | |
| 14 | 8 | |
| 15 | 17 | |
| 16 | 9 | |
| 17 | 12 | |
| 18 | 38 | |
| 19 | 24 | |
| 20 | 4 |
About Ahmed Alksas
Ahmed Alksas is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Pulmonary and Respiratory Medicine, having authored 40 papers that have together received 330 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (22 papers), COVID-19 diagnosis using AI (7 papers) and Renal cell carcinoma treatment (6 papers). The work is most often cited by research in Health Informatics (23 citations), Radiology, Nuclear Medicine and Imaging (211 citations) and Neurology (49 citations). Ahmed Alksas has collaborated with scholars based in United States, United Arab Emirates and Egypt. Frequent co-authors include Ayman El‐Baz, Mohamed Shehata, Mohammed Ghazal, Ahmed Abdel Khalek Abdel Razek, Ali Mahmoud, Ahmed Shaffie, Ahmed Soliman, Sohail Contractor, Hadil Abu Khalifeh and Hossam Magdy Balaha. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.
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.