Mohamed-Ayoub Messous
- Computer Networks and Communications top 5%
- Aerospace Engineering top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- Sidi‐Mohammed SenouciHichem SedjelmaciSoumaya CherkaouiChristophe GransartBrahim BouzouiaSamira MoussaouiAbdelfetah Hentout
- Topics
- UAV Applications and Optimization (7 papers)Opportunistic and Delay-Tolerant Networks (4 papers)Vehicular Ad Hoc Networks (VANETs) (4 papers)
- Cited by
- Computer Networks and CommunicationsAerospace EngineeringComputer Vision and Pattern Recognition
In The Last Decade
Mohamed-Ayoub Messous
13 papers receiving 439 citations
Peers
Comparison fields: 5 of 39
- Computer Networks and Communications 311
- Aerospace Engineering 286
- Electrical and Electronic Engineering 153
- Computer Vision and Pattern Recognition 114
- Artificial Intelligence 56
Countries citing papers authored by Mohamed-Ayoub Messous
This map shows the geographic impact of Mohamed-Ayoub Messous'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-Ayoub Messous with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed-Ayoub Messous more than expected).
Fields of papers citing papers by Mohamed-Ayoub Messous
This network shows the impact of papers produced by Mohamed-Ayoub Messous. 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-Ayoub Messous. The network helps show where Mohamed-Ayoub Messous may publish in the future.
Co-authorship network of co-authors of Mohamed-Ayoub Messous
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed-Ayoub Messous. A scholar is included among the top collaborators of Mohamed-Ayoub Messous 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-Ayoub Messous. Mohamed-Ayoub Messous is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | 6 | |
| 3 | 137 | |
| 4 | 12 | |
| 5 | 31 | |
| 6 | 34 | |
| 7 | 38 | |
| 8 | 24 | |
| 9 | 44 | |
| 10 | 58 | |
| 11 | 13 | |
| 12 | 3 | |
| 13 | 1 |
About Mohamed-Ayoub Messous
Mohamed-Ayoub Messous is a scholar working on Computer Networks and Communications, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 446 indexed citations. Recurring topics across this work include UAV Applications and Optimization (7 papers), Opportunistic and Delay-Tolerant Networks (4 papers) and Vehicular Ad Hoc Networks (VANETs) (4 papers). The work is most often cited by research in Computer Networks and Communications (311 citations), Aerospace Engineering (286 citations) and Computer Vision and Pattern Recognition (114 citations). Mohamed-Ayoub Messous has collaborated with scholars based in France, Algeria and Canada. Frequent co-authors include Sidi‐Mohammed Senouci, Hichem Sedjelmaci, Soumaya Cherkaoui, Christophe Gransart, Brahim Bouzouia, Samira Moussaoui and Abdelfetah Hentout. Their work appears in journals such as IEEE Transactions on Vehicular Technology, Computers & Electrical Engineering and Wireless Personal Communications.
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.