Samy Ait-Aoudia
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Media Technology top 5%
- Artificial Intelligence
- Information Systems
- Co-authors
- Christophe RosenbergerAbdelmounaam RezguiMohand Saïd AlliliAbdenour HadidElhocine BoutellaaEstelle CherrierMessaoud BengherabiSebti Foufou
- Topics
- Advanced Image and Video Retrieval Techniques (10 papers)Medical Image Segmentation Techniques (8 papers)Image Retrieval and Classification Techniques (7 papers)
In The Last Decade
Samy Ait-Aoudia
27 papers receiving 249 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 154
- Signal Processing 61
- Media Technology 60
- Artificial Intelligence 40
- Information Systems 36
Countries citing papers authored by Samy Ait-Aoudia
This map shows the geographic impact of Samy Ait-Aoudia'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 Samy Ait-Aoudia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samy Ait-Aoudia more than expected).
Fields of papers citing papers by Samy Ait-Aoudia
This network shows the impact of papers produced by Samy Ait-Aoudia. 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 Samy Ait-Aoudia. The network helps show where Samy Ait-Aoudia may publish in the future.
Co-authorship network of co-authors of Samy Ait-Aoudia
This figure shows the co-authorship network connecting the top 25 collaborators of Samy Ait-Aoudia. A scholar is included among the top collaborators of Samy Ait-Aoudia 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 Samy Ait-Aoudia. Samy Ait-Aoudia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 22 | |
| 3 | Hidden markov random fields and particle swarm combination for brain image segmentation. | 2 |
| 4 | Hidden Markov Random Fields and Particle Swarm Combination for Brain Magnetic Resonance Image Segmentation | 1 |
| 5 | 3 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 24 | |
| 9 | 7 | |
| 10 | 4 | |
| 11 | 13 | |
| 12 | 15 | |
| 13 | 3 | |
| 14 | 25 | |
| 15 | 6 | |
| 16 | 8 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 22 | |
| 20 | Numerical Solving of Geometric Constraints by Bisection: A Distributed Approach | 6 |
About Samy Ait-Aoudia
Samy Ait-Aoudia is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Industrial and Manufacturing Engineering, having authored 28 papers that have together received 268 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (10 papers), Medical Image Segmentation Techniques (8 papers) and Image Retrieval and Classification Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (154 citations), Media Technology (60 citations) and Signal Processing (61 citations). Samy Ait-Aoudia has collaborated with scholars based in Algeria, France and Canada. Frequent co-authors include Christophe Rosenberger, Abdelmounaam Rezgui, Mohand Saïd Allili, Abdenour Hadid, Elhocine Boutellaa, Estelle Cherrier, Messaoud Bengherabi, Sebti Foufou, Xiaoyi Feng and Brahim Hamid. Their work appears in journals such as Pattern Recognition, International Journal of Remote Sensing and Pattern Recognition Letters.
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.