Mohamed Youssfi
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Radiology, Nuclear Medicine and Imaging
- Information Systems top 10%
- Co-authors
- Omar BouattaneKhalifa MansouriMohammed QbadouBouchaib CherradiAbdelhadi RaihaniMohammed Ouadi BensalahHassan OuajjiVassilis G. Kaburlasos
- Topics
- Distributed and Parallel Computing Systems (15 papers)Medical Image Segmentation Techniques (11 papers)Image Retrieval and Classification Techniques (8 papers)
In The Last Decade
Mohamed Youssfi
89 papers receiving 617 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 186
- Computer Vision and Pattern Recognition 133
- Computer Networks and Communications 129
- Radiology, Nuclear Medicine and Imaging 104
- Information Systems 90
Countries citing papers authored by Mohamed Youssfi
This map shows the geographic impact of Mohamed Youssfi'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 Mohamed Youssfi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Youssfi more than expected).
Fields of papers citing papers by Mohamed Youssfi
This network shows the impact of papers produced by Mohamed Youssfi. 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 Mohamed Youssfi. The network helps show where Mohamed Youssfi may publish in the future.
Co-authorship network of co-authors of Mohamed Youssfi
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Youssfi. A scholar is included among the top collaborators of Mohamed Youssfi 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 Mohamed Youssfi. Mohamed Youssfi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 32 | |
| 14 | 4 | |
| 15 | 27 | |
| 16 | 6 | |
| 17 | 5 | |
| 18 | 0 | |
| 19 | 2 | |
| 20 | Brain Extraction and Fuzzy Tissue Segmentation in Cerebral 2D T1-Weigthed Magnetic Resonance Images | 5 |
About Mohamed Youssfi
Mohamed Youssfi is a scholar working on Computer Networks and Communications, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 107 papers that have together received 652 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (15 papers), Medical Image Segmentation Techniques (11 papers) and Image Retrieval and Classification Techniques (8 papers). The work is most often cited by research in Neurology (67 citations), Computer Vision and Pattern Recognition (133 citations) and Health Information Management (30 citations). Mohamed Youssfi has collaborated with scholars based in Morocco, Greece and France. Frequent co-authors include Omar Bouattane, Khalifa Mansouri, Mohammed Qbadou, Bouchaib Cherradi, Abdelhadi Raihani, Mohammed Ouadi Bensalah, Hassan Ouajji, Vassilis G. Kaburlasos, Chris Lytridis and Mohammed Mestari. Their work appears in journals such as SHILAP Revista de lepidopterología, Energies and Heliyon.
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.