Moamar Sayed‐Mouchaweh
- Control and Systems Engineering top 5%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Mechanical Engineering
- Computer Networks and Communications
- Co-authors
- Edwin LughoferBruno Sielly Jales CostaPlamen AngelovRadu‐Emil PrecupAbdelhamid BouchachiaLala RajaoarisoaGerasimos RigatosPierluigi Siano
- Topics
- Fault Detection and Control Systems (17 papers)Machine Fault Diagnosis Techniques (17 papers)Data Stream Mining Techniques (11 papers)
- Journals
- Information SciencesIEEE Transactions on Neural Networks and Learning SystemsNeurocomputing
- Partner nations
- FranceAlgeriaUnited Kingdom
In The Last Decade
Moamar Sayed‐Mouchaweh
55 papers receiving 720 citations
Peers
Comparison fields: 5 of 80
- Control and Systems Engineering 339
- Artificial Intelligence 327
- Electrical and Electronic Engineering 171
- Mechanical Engineering 48
- Computer Networks and Communications 45
Countries citing papers authored by Moamar Sayed‐Mouchaweh
This map shows the geographic impact of Moamar Sayed‐Mouchaweh'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 Moamar Sayed‐Mouchaweh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moamar Sayed‐Mouchaweh more than expected).
Fields of papers citing papers by Moamar Sayed‐Mouchaweh
This network shows the impact of papers produced by Moamar Sayed‐Mouchaweh. 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 Moamar Sayed‐Mouchaweh. The network helps show where Moamar Sayed‐Mouchaweh may publish in the future.
Co-authorship network of co-authors of Moamar Sayed‐Mouchaweh
This figure shows the co-authorship network connecting the top 25 collaborators of Moamar Sayed‐Mouchaweh. A scholar is included among the top collaborators of Moamar Sayed‐Mouchaweh 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 Moamar Sayed‐Mouchaweh. Moamar Sayed‐Mouchaweh 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 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 13 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 16 | |
| 9 | 8 | |
| 10 | 3 | |
| 11 | 13 | |
| 12 | 31 | |
| 13 | 3 | |
| 14 | 23 | |
| 15 | 34 | |
| 16 | 29 | |
| 17 | Active Learning for Data Streams under Concept Drift and concept evolution. | 1 |
| 18 | 10 | |
| 19 | 5 | |
| 20 | Automatic control to improve the seaworthiness conditions in inland navigation | 1 |
About Moamar Sayed‐Mouchaweh
Moamar Sayed‐Mouchaweh is a scholar working on Control and Systems Engineering, Artificial Intelligence and Safety, Risk, Reliability and Quality, having authored 56 papers that have together received 739 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (17 papers), Machine Fault Diagnosis Techniques (17 papers) and Data Stream Mining Techniques (11 papers). The work is most often cited by research in Control and Systems Engineering (339 citations), Artificial Intelligence (327 citations) and Computational Mathematics (4 citations). Moamar Sayed‐Mouchaweh has collaborated with scholars based in France, Algeria and United Kingdom. Frequent co-authors include Edwin Lughofer, Bruno Sielly Jales Costa, Plamen Angelov, Radu‐Emil Precup, Abdelhamid Bouchachia, Lala Rajaoarisoa, Gerasimos Rigatos, Pierluigi Siano, Khaled Ghédira and Moez Hammami. Their work appears in journals such as Information Sciences, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.
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.