Rachida Saouli
- Neurology top 5%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging
- Artificial Intelligence
- Biomedical Engineering
- Co-authors
- Mohamed AkilMostefa Ben NaceurRostom KachouriMohamed Hédi BedouiHadj BatatiaJean CoustyThierry Grandpierre
- Topics
- Medical Image Segmentation Techniques (5 papers)Cardiac Valve Diseases and Treatments (3 papers)Cardiac Imaging and Diagnostics (3 papers)
In The Last Decade
Rachida Saouli
11 papers receiving 329 citations
Peers
Comparison fields: 5 of 58
- Neurology 235
- Computer Vision and Pattern Recognition 232
- Radiology, Nuclear Medicine and Imaging 107
- Artificial Intelligence 85
- Biomedical Engineering 38
Countries citing papers authored by Rachida Saouli
This map shows the geographic impact of Rachida Saouli'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 Rachida Saouli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachida Saouli more than expected).
Fields of papers citing papers by Rachida Saouli
This network shows the impact of papers produced by Rachida Saouli. 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 Rachida Saouli. The network helps show where Rachida Saouli may publish in the future.
Co-authorship network of co-authors of Rachida Saouli
This figure shows the co-authorship network connecting the top 25 collaborators of Rachida Saouli. A scholar is included among the top collaborators of Rachida Saouli 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 Rachida Saouli. Rachida Saouli 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 | 2 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 14 | |
| 7 | 1 | |
| 8 | 136 | |
| 9 | 8 | |
| 10 | 3 | |
| 11 | 167 | |
| 12 | 3 | |
| 13 | 2 |
About Rachida Saouli
Rachida Saouli is a scholar working on Computer Vision and Pattern Recognition, Software and Neurology, having authored 13 papers that have together received 343 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), Cardiac Valve Diseases and Treatments (3 papers) and Cardiac Imaging and Diagnostics (3 papers). The work is most often cited by research in Neurology (235 citations), Computer Vision and Pattern Recognition (232 citations) and Radiology, Nuclear Medicine and Imaging (107 citations). Rachida Saouli has collaborated with scholars based in Algeria, France and Tunisia. Frequent co-authors include Mohamed Akil, Mostefa Ben Naceur, Rostom Kachouri, Mohamed Hédi Bedoui, Hadj Batatia, Jean Cousty and Thierry Grandpierre. Their work appears in journals such as Medical Image Analysis, Computer Methods and Programs in Biomedicine and Magnetic Resonance Imaging.
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.