Younès Bennani
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Information Systems top 10%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Nistor GrozavuGuénaël CabanèsAntoine CornuéjolsKhalid BenabdeslemPatrick GallinariMustapha LebbahPierre GançarskiCédric Wemmert
- Topics
- Neural Networks and Applications (29 papers)Advanced Clustering Algorithms Research (26 papers)Face and Expression Recognition (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaEarth and Planetary Science LettersPattern Recognition
In The Last Decade
Younès Bennani
82 papers receiving 640 citations
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 489
- Computer Vision and Pattern Recognition 206
- Signal Processing 138
- Information Systems 66
- Statistical and Nonlinear Physics 65
Countries citing papers authored by Younès Bennani
This map shows the geographic impact of Younès Bennani'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 Younès Bennani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Younès Bennani more than expected).
Fields of papers citing papers by Younès Bennani
This network shows the impact of papers produced by Younès Bennani. 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 Younès Bennani. The network helps show where Younès Bennani may publish in the future.
Co-authorship network of co-authors of Younès Bennani
This figure shows the co-authorship network connecting the top 25 collaborators of Younès Bennani. A scholar is included among the top collaborators of Younès Bennani 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 Younès Bennani. Younès Bennani 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 | 0 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 16 | |
| 6 | 0 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 0 | |
| 10 | A survey on domain adaptation theory | 10 |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 22 | |
| 15 | 5 | |
| 16 | 15 | |
| 17 | 3 | |
| 18 | Topological Collaborative Clustering | 26 |
| 19 | 4 | |
| 20 | 5 |
About Younès Bennani
Younès Bennani is a scholar working on Signal Processing, Artificial Intelligence and Health Informatics, having authored 94 papers that have together received 673 indexed citations. Recurring topics across this work include Neural Networks and Applications (29 papers), Advanced Clustering Algorithms Research (26 papers) and Face and Expression Recognition (14 papers). The work is most often cited by research in Artificial Intelligence (489 citations), Signal Processing (138 citations) and Computer Vision and Pattern Recognition (206 citations). Younès Bennani has collaborated with scholars based in France, Morocco and Belgium. Frequent co-authors include Nistor Grozavu, Guénaël Cabanès, Antoine Cornuéjols, Khalid Benabdeslem, Patrick Gallinari, Mustapha Lebbah, Pierre Gançarski, Cédric Wemmert, Basarab Mateï and Jérémie Sublime. Their work appears in journals such as SHILAP Revista de lepidopterología, Earth and Planetary Science Letters and Pattern Recognition.
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.