Ebrahim Mohammed Senan
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Oncology
- Cognitive Neuroscience
- Co-authors
- Ibrahim Abdulrab AhmedHamzeh Salameh Ahmad ShatnawiKhaled M. AlalayahHany F. AtlamMukti E. JadhavZeyad Ghaleb Al-MekhlafiBadiea Abdulkarem MohammedMohammed Hamdi
- Topics
- AI in cancer detection (7 papers)Digital Imaging for Blood Diseases (6 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)
- Partner nations
- YemenSaudi ArabiaIndia
In The Last Decade
Ebrahim Mohammed Senan
17 papers receiving 329 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 151
- Radiology, Nuclear Medicine and Imaging 139
- Computer Vision and Pattern Recognition 78
- Oncology 48
- Cognitive Neuroscience 46
Countries citing papers authored by Ebrahim Mohammed Senan
This map shows the geographic impact of Ebrahim Mohammed Senan'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 Ebrahim Mohammed Senan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ebrahim Mohammed Senan more than expected).
Fields of papers citing papers by Ebrahim Mohammed Senan
This network shows the impact of papers produced by Ebrahim Mohammed Senan. 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 Ebrahim Mohammed Senan. The network helps show where Ebrahim Mohammed Senan may publish in the future.
Co-authorship network of co-authors of Ebrahim Mohammed Senan
This figure shows the co-authorship network connecting the top 25 collaborators of Ebrahim Mohammed Senan. A scholar is included among the top collaborators of Ebrahim Mohammed Senan 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 Ebrahim Mohammed Senan. Ebrahim Mohammed Senan 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 | 29 | |
| 4 | 7 | |
| 5 | 54 | |
| 6 | 11 | |
| 7 | 14 | |
| 8 | 20 | |
| 9 | 6 | |
| 10 | 6 | |
| 11 | 10 | |
| 12 | 38 | |
| 13 | 20 | |
| 14 | 27 | |
| 15 | 18 | |
| 16 | 21 | |
| 17 | 12 | |
| 18 | 14 | |
| 19 | 49 |
About Ebrahim Mohammed Senan
Ebrahim Mohammed Senan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Gastroenterology, having authored 19 papers that have together received 356 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Digital Imaging for Blood Diseases (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (139 citations), Neurology (44 citations) and Artificial Intelligence (151 citations). Ebrahim Mohammed Senan has collaborated with scholars based in Yemen, Saudi Arabia and India. Frequent co-authors include Ibrahim Abdulrab Ahmed, Hamzeh Salameh Ahmad Shatnawi, Khaled M. Alalayah, Hany F. Atlam, Mukti E. Jadhav, Zeyad Ghaleb Al-Mekhlafi, Badiea Abdulkarem Mohammed, Mohammed Hamdi, Jalawi Sulaiman Alshudukhi and Khalid Ahmed. Their work appears in journals such as Electronics, International Journal of Intelligent Systems and Processes.
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.