Mohamed H. Mousa
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- Mohamed K. HusseinMohammed A. AlqarniSamir AkkoucheRaphaëlle ChaineÉric GalinEhssan NassefHamed Nassar
- Topics
- IoT and Edge/Fog Computing (6 papers)3D Shape Modeling and Analysis (6 papers)Computer Graphics and Visualization Techniques (5 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Graphics and Computer-Aided Design
- Partner nations
- EgyptSaudi ArabiaFrance
In The Last Decade
Mohamed H. Mousa
13 papers receiving 359 citations
Peers
Comparison fields: 5 of 45
- Computer Networks and Communications 307
- Information Systems 166
- Electrical and Electronic Engineering 102
- Computer Vision and Pattern Recognition 77
- Artificial Intelligence 39
Countries citing papers authored by Mohamed H. Mousa
This map shows the geographic impact of Mohamed H. Mousa'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 H. Mousa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed H. Mousa more than expected).
Fields of papers citing papers by Mohamed H. Mousa
This network shows the impact of papers produced by Mohamed H. Mousa. 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 H. Mousa. The network helps show where Mohamed H. Mousa may publish in the future.
Co-authorship network of co-authors of Mohamed H. Mousa
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed H. Mousa. A scholar is included among the top collaborators of Mohamed H. Mousa 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 H. Mousa. Mohamed H. Mousa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 21 | |
| 5 | 20 | |
| 6 | 7 | |
| 7 | 27 | |
| 8 | 8 | |
| 9 | 170 | |
| 10 | 5 | |
| 11 | 84 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | 11 | |
| 16 | 12 |
About Mohamed H. Mousa
Mohamed H. Mousa is a scholar working on Computer Graphics and Computer-Aided Design, Computer Networks and Communications and Computational Mechanics, having authored 16 papers that have together received 377 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (6 papers), 3D Shape Modeling and Analysis (6 papers) and Computer Graphics and Visualization Techniques (5 papers). The work is most often cited by research in Computer Networks and Communications (307 citations), Information Systems (166 citations) and Computer Graphics and Computer-Aided Design (17 citations). Mohamed H. Mousa has collaborated with scholars based in Egypt, Saudi Arabia and France. Frequent co-authors include Mohamed K. Hussein, Mohammed A. Alqarni, Samir Akkouche, Raphaëlle Chaine, Éric Galin, Ehssan Nassef and Hamed Nassar. Their work appears in journals such as PLoS ONE, IEEE Access and Computers & Electrical Engineering.
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.