Mohamed Maghenem
- Control and Systems Engineering top 2%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Ocean Engineering top 10%
- Co-authors
- Antonio Lorı́aElena PanteleyRicardo G. SanfeliceEmmanuel NuñoKristin Y. PettersenAdnane SaoudAbraham P. BautistaSrikant Sukumar
- Topics
- Distributed Control Multi-Agent Systems (19 papers)Advanced Control Systems Optimization (18 papers)Adaptive Control of Nonlinear Systems (17 papers)
- Cited by
- Control and Systems EngineeringComputer Networks and CommunicationsStatistics, Probability and Uncertainty
- Journals
- IEEE Transactions on Automatic ControlAutomaticaIEEE Transactions on Control Systems Technology
- Partner nations
- FranceUnited StatesRussia
In The Last Decade
Mohamed Maghenem
48 papers receiving 527 citations
Peers
Comparison fields: 5 of 41
- Control and Systems Engineering 393
- Computer Networks and Communications 273
- Computer Vision and Pattern Recognition 70
- Aerospace Engineering 59
- Ocean Engineering 54
Countries citing papers authored by Mohamed Maghenem
This map shows the geographic impact of Mohamed Maghenem'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 Mohamed Maghenem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Maghenem more than expected).
Fields of papers citing papers by Mohamed Maghenem
This network shows the impact of papers produced by Mohamed Maghenem. 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 Mohamed Maghenem. The network helps show where Mohamed Maghenem may publish in the future.
Co-authorship network of co-authors of Mohamed Maghenem
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Maghenem. A scholar is included among the top collaborators of Mohamed Maghenem 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 Mohamed Maghenem. Mohamed Maghenem 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 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 55 | |
| 11 | 3 | |
| 12 | 31 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 7 | |
| 16 | 19 | |
| 17 | 28 | |
| 18 | 11 | |
| 19 | 4 | |
| 20 | 18 |
About Mohamed Maghenem
Mohamed Maghenem is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Computer Networks and Communications, having authored 55 papers that have together received 540 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (19 papers), Advanced Control Systems Optimization (18 papers) and Adaptive Control of Nonlinear Systems (17 papers). The work is most often cited by research in Control and Systems Engineering (393 citations), Computer Networks and Communications (273 citations) and Statistics, Probability and Uncertainty (33 citations). Mohamed Maghenem has collaborated with scholars based in France, United States and Russia. Frequent co-authors include Antonio Lorı́a, Elena Panteley, Ricardo G. Sanfelice, Emmanuel Nuño, Kristin Y. Pettersen, Adnane Saoud, Abraham P. Bautista, Srikant Sukumar, Andrew J. Taylor and Aaron D. Ames. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Control Systems Technology.
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.