Mohammed El Adoui
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition
- Neurology
- Biomedical Engineering
- Co-authors
- Mohammed BenjellounSidi Ahmed MahmoudiStylianos DrisisO. PateySaïd MahmoudiOlivier DebaucheFabian LecronBenoît Frénay
- Topics
- Radiomics and Machine Learning in Medical Imaging (13 papers)AI in cancer detection (10 papers)MRI in cancer diagnosis (8 papers)
- Journals
- Nature CommunicationsJournal of Clinical OncologySHILAP Revista de lepidopterología
In The Last Decade
Mohammed El Adoui
20 papers receiving 303 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 208
- Radiology, Nuclear Medicine and Imaging 204
- Computer Vision and Pattern Recognition 41
- Neurology 40
- Biomedical Engineering 25
Countries citing papers authored by Mohammed El Adoui
This map shows the geographic impact of Mohammed El Adoui'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 Mohammed El Adoui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed El Adoui more than expected).
Fields of papers citing papers by Mohammed El Adoui
This network shows the impact of papers produced by Mohammed El Adoui. 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 Mohammed El Adoui. The network helps show where Mohammed El Adoui may publish in the future.
Co-authorship network of co-authors of Mohammed El Adoui
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed El Adoui. A scholar is included among the top collaborators of Mohammed El Adoui 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 Mohammed El Adoui. Mohammed El Adoui 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 | 6 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 55 | |
| 7 | Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study. | 2 |
| 8 | 14 | |
| 9 | 6 | |
| 10 | 8 | |
| 11 | 86 | |
| 12 | 12 | |
| 13 | 16 | |
| 14 | 5 | |
| 15 | 33 | |
| 16 | 14 | |
| 17 | 11 | |
| 18 | 9 | |
| 19 | 18 | |
| 20 | 0 |
About Mohammed El Adoui
Mohammed El Adoui is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 314 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (13 papers), AI in cancer detection (10 papers) and MRI in cancer diagnosis (8 papers). The work is most often cited by research in Health Informatics (14 citations), Radiology, Nuclear Medicine and Imaging (204 citations) and Artificial Intelligence (208 citations). Mohammed El Adoui has collaborated with scholars based in Belgium, France and Algeria. Frequent co-authors include Mohammed Benjelloun, Sidi Ahmed Mahmoudi, Stylianos Drisis, O. Patey, Saïd Mahmoudi, Olivier Debauche, Fabian Lecron, Benoît Frénay, Michail Ignatiadis and Maria Antonietta Bali. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.