Benayad Nsiri
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Physiology
- Computer Networks and Communications top 10%
- Co-authors
- Thierry ChonavelBrahim BenajiJ.-M. BoucherOlivier RosecA. MokhtariAbdelmajid SoulaymaniDriss AboutajdineAchraf Benba
- Topics
- Voice and Speech Disorders (9 papers)Blind Source Separation Techniques (8 papers)Wireless Communication Networks Research (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- MoroccoFranceUnited States
In The Last Decade
Benayad Nsiri
59 papers receiving 507 citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 111
- Signal Processing 111
- Artificial Intelligence 98
- Physiology 88
- Computer Networks and Communications 63
Countries citing papers authored by Benayad Nsiri
This map shows the geographic impact of Benayad Nsiri'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 Benayad Nsiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benayad Nsiri more than expected).
Fields of papers citing papers by Benayad Nsiri
This network shows the impact of papers produced by Benayad Nsiri. 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 Benayad Nsiri. The network helps show where Benayad Nsiri may publish in the future.
Co-authorship network of co-authors of Benayad Nsiri
This figure shows the co-authorship network connecting the top 25 collaborators of Benayad Nsiri. A scholar is included among the top collaborators of Benayad Nsiri 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 Benayad Nsiri. Benayad Nsiri 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 | 2 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 18 | |
| 17 | 17 | |
| 18 | 5 | |
| 19 | Modeling and Performance Evaluation of the Skills Production Systems: Using the ECOGRAI Method | 1 |
| 20 | 5 |
About Benayad Nsiri
Benayad Nsiri is a scholar working on Signal Processing, Anatomy and Computer Vision and Pattern Recognition, having authored 66 papers that have together received 528 indexed citations. Recurring topics across this work include Voice and Speech Disorders (9 papers), Blind Source Separation Techniques (8 papers) and Wireless Communication Networks Research (6 papers). The work is most often cited by research in Signal Processing (111 citations), Computer Vision and Pattern Recognition (111 citations) and Media Technology (35 citations). Benayad Nsiri has collaborated with scholars based in Morocco, France and United States. Frequent co-authors include Thierry Chonavel, Brahim Benaji, J.-M. Boucher, Olivier Rosec, A. Mokhtari, Abdelmajid Soulaymani, Driss Aboutajdine, Achraf Benba, Mohammed Boulmalf and Hervé Nouzé. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.