Ryad Zemouri
- Control and Systems Engineering top 5%
- Artificial Intelligence top 5%
- Mechanical Engineering
- Electrical and Electronic Engineering
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Noureddine ZerhouniDaniel RacoceanuAntoine TahanRafael GouriveauMélanie LévesqueMarc ThomasKamran JavedArezki Merkhouf
- Topics
- Machine Fault Diagnosis Techniques (24 papers)Fault Detection and Control Systems (22 papers)Neural Networks and Applications (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
In The Last Decade
Ryad Zemouri
57 papers receiving 741 citations
Peers
Comparison fields: 5 of 112
- Control and Systems Engineering 286
- Artificial Intelligence 256
- Mechanical Engineering 139
- Electrical and Electronic Engineering 135
- Radiology, Nuclear Medicine and Imaging 85
Countries citing papers authored by Ryad Zemouri
This map shows the geographic impact of Ryad Zemouri'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 Ryad Zemouri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryad Zemouri more than expected).
Fields of papers citing papers by Ryad Zemouri
This network shows the impact of papers produced by Ryad Zemouri. 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 Ryad Zemouri. The network helps show where Ryad Zemouri may publish in the future.
Co-authorship network of co-authors of Ryad Zemouri
This figure shows the co-authorship network connecting the top 25 collaborators of Ryad Zemouri. A scholar is included among the top collaborators of Ryad Zemouri 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 Ryad Zemouri. Ryad Zemouri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 31 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 2 | |
| 16 | 21 | |
| 17 | 12 | |
| 18 | 2 | |
| 19 | Combining a recurrent neural network and a PID controller for prognostic purpose: a way to improve the accuracy of predictions | 7 |
| 20 | 1 |
About Ryad Zemouri
Ryad Zemouri is a scholar working on Control and Systems Engineering, Artificial Intelligence and Medical Laboratory Technology, having authored 60 papers that have together received 780 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (24 papers), Fault Detection and Control Systems (22 papers) and Neural Networks and Applications (15 papers). The work is most often cited by research in Control and Systems Engineering (286 citations), Medical Laboratory Technology (14 citations) and Artificial Intelligence (256 citations). Ryad Zemouri has collaborated with scholars based in France, Canada and Romania. Frequent co-authors include Noureddine Zerhouni, Daniel Racoceanu, Antoine Tahan, Rafael Gouriveau, Mélanie Lévesque, Marc Thomas, Kamran Javed, Arezki Merkhouf, N. Amyot and C. Hudon. 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.