Nacéra Benamrane
- Computer Vision and Pattern Recognition top 5%
- Neurology top 10%
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Media Technology
- Co-authors
- Ahmed KharratMohamed AbidKarim GasmiLakhdar SaïsAbdelmalik Taleb‐AhmedAbdelkader BenyettouMohammed OualiJau-Ji Shen
- Topics
- Medical Image Segmentation Techniques (19 papers)Image Retrieval and Classification Techniques (10 papers)AI in cancer detection (6 papers)
- Partner nations
- AlgeriaFranceUnited States
In The Last Decade
Nacéra Benamrane
34 papers receiving 214 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 171
- Neurology 114
- Artificial Intelligence 89
- Radiology, Nuclear Medicine and Imaging 45
- Media Technology 25
Countries citing papers authored by Nacéra Benamrane
This map shows the geographic impact of Nacéra Benamrane'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 Nacéra Benamrane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nacéra Benamrane more than expected).
Fields of papers citing papers by Nacéra Benamrane
This network shows the impact of papers produced by Nacéra Benamrane. 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 Nacéra Benamrane. The network helps show where Nacéra Benamrane may publish in the future.
Co-authorship network of co-authors of Nacéra Benamrane
This figure shows the co-authorship network connecting the top 25 collaborators of Nacéra Benamrane. A scholar is included among the top collaborators of Nacéra Benamrane 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 Nacéra Benamrane. Nacéra Benamrane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | Medical image segmentation based on fuzzy controlled level set and local statistical constraints. | 1 |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 14 | |
| 15 | 34 | |
| 16 | Détection et Suivi d'Objets dans une Séquence d'Images par Contours Actifs. | 0 |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 11 | |
| 20 | 0 |
About Nacéra Benamrane
Nacéra Benamrane is a scholar working on Computer Vision and Pattern Recognition, Neurology and Media Technology, having authored 39 papers that have together received 255 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (19 papers), Image Retrieval and Classification Techniques (10 papers) and AI in cancer detection (6 papers). The work is most often cited by research in Neurology (114 citations), Computer Vision and Pattern Recognition (171 citations) and Media Technology (25 citations). Nacéra Benamrane has collaborated with scholars based in Algeria, France and United States. Frequent co-authors include Ahmed Kharrat, Mohamed Abid, Karim Gasmi, Lakhdar Saïs, Abdelmalik Taleb‐Ahmed, Abdelkader Benyettou, Mohammed Ouali and Jau-Ji Shen. Their work appears in journals such as Sensors, Advances in experimental medicine and biology and Robotics and Autonomous Systems.
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.