Rachid Sammouda
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Radiology, Nuclear Medicine and Imaging
- Neurology
- Co-authors
- Ali El‐ZaartNoboru NikiHussain Al-AhmadFatma TaherNaoufel WerghiH. NishitaniAhmed AlghamdiNuru Adgaba
- Topics
- Neural Networks and Applications (13 papers)Medical Image Segmentation Techniques (9 papers)Image and Signal Denoising Methods (8 papers)
- Partner nations
- Saudi ArabiaJapanUnited Arab Emirates
In The Last Decade
Rachid Sammouda
34 papers receiving 304 citations
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 135
- Artificial Intelligence 119
- Media Technology 71
- Radiology, Nuclear Medicine and Imaging 54
- Neurology 44
Countries citing papers authored by Rachid Sammouda
This map shows the geographic impact of Rachid Sammouda'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 Rachid Sammouda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachid Sammouda more than expected).
Fields of papers citing papers by Rachid Sammouda
This network shows the impact of papers produced by Rachid Sammouda. 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 Rachid Sammouda. The network helps show where Rachid Sammouda may publish in the future.
Co-authorship network of co-authors of Rachid Sammouda
This figure shows the co-authorship network connecting the top 25 collaborators of Rachid Sammouda. A scholar is included among the top collaborators of Rachid Sammouda 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 Rachid Sammouda. Rachid Sammouda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 55 | |
| 2 | Prostate Cancer Diagnosis Based on the Segmentation and Analysis of NIR Images Obtained Using Two PSMA-1 Based PDT Conjugates PSMA-1-Pc413 and PSMA-1-IR700 | 1 |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 28 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | Cancerous nuclei detection on digitized pathological lung color images | 2 |
| 14 | 5 | |
| 15 | 7 | |
| 16 | Segmentation and Analysis of Liver Cancer Pathological Color Images based on Artificial Neural Networks | 1 |
| 17 | Segmentation of Sputum Color Image for Lung Cancer Diagnosis Based on Neural Networks | 13 |
| 18 | 1 | |
| 19 | Segmentation of Brain MR Images Based on Neural Networks | 8 |
| 20 | Neural networks for the segmentation of magnetic resonance images | 1 |
About Rachid Sammouda
Rachid Sammouda is a scholar working on Computer Vision and Pattern Recognition, Neurology and Media Technology, having authored 34 papers that have together received 335 indexed citations. Recurring topics across this work include Neural Networks and Applications (13 papers), Medical Image Segmentation Techniques (9 papers) and Image and Signal Denoising Methods (8 papers). The work is most often cited by research in Media Technology (71 citations), Computer Vision and Pattern Recognition (135 citations) and Neurology (44 citations). Rachid Sammouda has collaborated with scholars based in Saudi Arabia, Japan and United Arab Emirates. Frequent co-authors include Ali El‐Zaart, Noboru Niki, Hussain Al-Ahmad, Fatma Taher, Naoufel Werghi, H. Nishitani, Ahmed Alghamdi, Nuru Adgaba, Hiromu Nishitani and Ahmed Bouridane. Their work appears in journals such as Computers in Human Behavior, Pattern Recognition and IEEE Transactions on Nuclear Science.
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.