Saeed Mohsen
- Electrical and Electronic Engineering
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Neurology
- Co-authors
- Abdelhalim ZekryAhmed ElkaseerSteffen ScholzMohamed AbouelattaEl‐Sayed M. El‐RabaieAnas M. AliWalid El‐ShafaiFathi E. Abd El‐Samie
- Topics
- Energy Harvesting in Wireless Networks (7 papers)Innovative Energy Harvesting Technologies (7 papers)Brain Tumor Detection and Classification (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
- Partner nations
- EgyptSaudi ArabiaUnited Kingdom
In The Last Decade
Saeed Mohsen
26 papers receiving 355 citations
Peers
Comparison fields: 5 of 69
- Electrical and Electronic Engineering 87
- Biomedical Engineering 82
- Computer Vision and Pattern Recognition 82
- Artificial Intelligence 56
- Neurology 53
Countries citing papers authored by Saeed Mohsen
This map shows the geographic impact of Saeed Mohsen'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 Saeed Mohsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saeed Mohsen more than expected).
Fields of papers citing papers by Saeed Mohsen
This network shows the impact of papers produced by Saeed Mohsen. 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 Saeed Mohsen. The network helps show where Saeed Mohsen may publish in the future.
Co-authorship network of co-authors of Saeed Mohsen
This figure shows the co-authorship network connecting the top 25 collaborators of Saeed Mohsen. A scholar is included among the top collaborators of Saeed Mohsen 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 Saeed Mohsen. Saeed Mohsen 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 | 2 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 11 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 14 | |
| 9 | 20 | |
| 10 | 15 | |
| 11 | 52 | |
| 12 | 30 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 14 | |
| 16 | 14 | |
| 17 | 43 | |
| 18 | 10 | |
| 19 | 13 | |
| 20 | 3 |
About Saeed Mohsen
Saeed Mohsen is a scholar working on Neurology, Urban Studies and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 366 indexed citations. Recurring topics across this work include Energy Harvesting in Wireless Networks (7 papers), Innovative Energy Harvesting Technologies (7 papers) and Brain Tumor Detection and Classification (5 papers). The work is most often cited by research in Neurology (53 citations), Computer Vision and Pattern Recognition (82 citations) and Experimental and Cognitive Psychology (47 citations). Saeed Mohsen has collaborated with scholars based in Egypt, Saudi Arabia and United Kingdom. Frequent co-authors include Abdelhalim Zekry, Ahmed Elkaseer, Steffen Scholz, Mohamed Abouelatta, El‐Sayed M. El‐Rabaie, Anas M. Ali, Walid El‐Shafai, Fathi E. Abd El‐Samie, Abdullah G. Alharbi and Sherif S. M. Ghoneim. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.