Mohamed Ben Slima
- Computer Vision and Pattern Recognition top 5%
- Neurology top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Co-authors
- Ines NjehHiba MzoughiChokri MhiriAli WaliA. BarwiczRoman Z. MorawskiAhmed Ben HamidaWassim Zouch
- Topics
- Brain Tumor Detection and Classification (13 papers)Medical Image Segmentation Techniques (11 papers)Fault Detection and Control Systems (7 papers)
In The Last Decade
Mohamed Ben Slima
40 papers receiving 482 citations
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 262
- Neurology 260
- Radiology, Nuclear Medicine and Imaging 126
- Artificial Intelligence 113
- Biomedical Engineering 45
Countries citing papers authored by Mohamed Ben Slima
This map shows the geographic impact of Mohamed Ben Slima'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 Ben Slima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Ben Slima more than expected).
Fields of papers citing papers by Mohamed Ben Slima
This network shows the impact of papers produced by Mohamed Ben Slima. 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 Ben Slima. The network helps show where Mohamed Ben Slima may publish in the future.
Co-authorship network of co-authors of Mohamed Ben Slima
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Ben Slima. A scholar is included among the top collaborators of Mohamed Ben Slima 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 Ben Slima. Mohamed Ben Slima 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 | 0 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 228 | |
| 9 | 13 | |
| 10 | 3 | |
| 11 | 21 | |
| 12 | 2 | |
| 13 | 12 | |
| 14 | A Fully Automatic Method for Breast Lesions Segmentation in Ultrasound Images | 2 |
| 15 | 2 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | 0 | |
| 19 | 10 | |
| 20 | 18 |
About Mohamed Ben Slima
Mohamed Ben Slima is a scholar working on Neurology, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, having authored 48 papers that have together received 490 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (13 papers), Medical Image Segmentation Techniques (11 papers) and Fault Detection and Control Systems (7 papers). The work is most often cited by research in Neurology (260 citations), Computer Vision and Pattern Recognition (262 citations) and Health Informatics (8 citations). Mohamed Ben Slima has collaborated with scholars based in Tunisia, Canada and Poland. Frequent co-authors include Ines Njeh, Hiba Mzoughi, Chokri Mhiri, Ali Wali, A. Barwicz, Roman Z. Morawski, Ahmed Ben Hamida, Wassim Zouch, Daniel Massicotte and Leszek Szczeciński. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Instrumentation and Measurement and Biomedical Signal Processing and Control.
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.