Mohammed Amine Togou
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- Lyes KhoukhiGabriel‐Miro MunteanDjabir Abdeldjalil ChekiredAbdelhakim HafidAdlen KsentiniMarco RuffiniTing BiHitesh Tewari
- Topics
- Advanced MIMO Systems Optimization (13 papers)Image and Video Quality Assessment (10 papers)Software-Defined Networks and 5G (9 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringComputer Science Applications
In The Last Decade
Mohammed Amine Togou
44 papers receiving 618 citations
Peers
Comparison fields: 5 of 63
- Computer Networks and Communications 374
- Electrical and Electronic Engineering 353
- Information Systems 87
- Computer Vision and Pattern Recognition 83
- Artificial Intelligence 54
Countries citing papers authored by Mohammed Amine Togou
This map shows the geographic impact of Mohammed Amine Togou'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 Mohammed Amine Togou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Amine Togou more than expected).
Fields of papers citing papers by Mohammed Amine Togou
This network shows the impact of papers produced by Mohammed Amine Togou. 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 Mohammed Amine Togou. The network helps show where Mohammed Amine Togou may publish in the future.
Co-authorship network of co-authors of Mohammed Amine Togou
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Amine Togou. A scholar is included among the top collaborators of Mohammed Amine Togou 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 Mohammed Amine Togou. Mohammed Amine Togou 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 | 4 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 57 | |
| 7 | 15 | |
| 8 | 9 | |
| 9 | 11 | |
| 10 | 19 | |
| 11 | 24 | |
| 12 | An innovative machine learning approach to improve MPTCP performance | 1 |
| 13 | NEWTON Fab Lab Initiative: A Small-Scale Pilot for STEM Education | 4 |
| 14 | 19 | |
| 15 | 113 | |
| 16 | 24 | |
| 17 | 2 | |
| 18 | 15 | |
| 19 | 14 | |
| 20 | 87 |
About Mohammed Amine Togou
Mohammed Amine Togou is a scholar working on Computer Networks and Communications, Media Technology and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 636 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (13 papers), Image and Video Quality Assessment (10 papers) and Software-Defined Networks and 5G (9 papers). The work is most often cited by research in Computer Networks and Communications (374 citations), Electrical and Electronic Engineering (353 citations) and Computer Science Applications (25 citations). Mohammed Amine Togou has collaborated with scholars based in Ireland, France and Spain. Frequent co-authors include Lyes Khoukhi, Gabriel‐Miro Muntean, Djabir Abdeldjalil Chekired, Abdelhakim Hafid, Adlen Ksentini, Marco Ruffini, Ting Bi, Hitesh Tewari, Kevin McDonnell and Kapal Dev. Their work appears in journals such as IEEE Communications Surveys & Tutorials, IEEE Access and IEEE Journal on Selected Areas in 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.