Mohamed El‐Sharkawy
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Co-authors
- Almoataz Y. AbdelazizY. G. HegazyMostafa El‐KhamyMaher RizkallaNouby M. GhazalyMahmoud A. AttiaMohammed FarragGamal Fahmy
- Topics
- Advanced Neural Network Applications (36 papers)Advanced Data Compression Techniques (14 papers)Video Surveillance and Tracking Methods (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsComputer Physics Communications
- Partner nations
- United StatesEgyptSaudi Arabia
In The Last Decade
Mohamed El‐Sharkawy
114 papers receiving 910 citations
Peers
Comparison fields: 5 of 117
- Computer Vision and Pattern Recognition 313
- Electrical and Electronic Engineering 292
- Control and Systems Engineering 201
- Computer Networks and Communications 116
- Artificial Intelligence 112
Countries citing papers authored by Mohamed El‐Sharkawy
This map shows the geographic impact of Mohamed El‐Sharkawy'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 El‐Sharkawy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed El‐Sharkawy more than expected).
Fields of papers citing papers by Mohamed El‐Sharkawy
This network shows the impact of papers produced by Mohamed El‐Sharkawy. 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 El‐Sharkawy. The network helps show where Mohamed El‐Sharkawy may publish in the future.
Co-authorship network of co-authors of Mohamed El‐Sharkawy
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed El‐Sharkawy. A scholar is included among the top collaborators of Mohamed El‐Sharkawy 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 El‐Sharkawy. Mohamed El‐Sharkawy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 9 | |
| 12 | 18 | |
| 13 | 7 | |
| 14 | 6 | |
| 15 | 22 | |
| 16 | 12 | |
| 17 | 48 | |
| 18 | Optimal Allocation of TCSC Devices Using Genetic Algorithms | 8 |
| 19 | 2 | |
| 20 | Image processing and graphics applications | 0 |
About Mohamed El‐Sharkawy
Mohamed El‐Sharkawy is a scholar working on Architecture, Computer Vision and Pattern Recognition and Signal Processing, having authored 133 papers that have together received 950 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (36 papers), Advanced Data Compression Techniques (14 papers) and Video Surveillance and Tracking Methods (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (313 citations), Architecture (21 citations) and Media Technology (84 citations). Mohamed El‐Sharkawy has collaborated with scholars based in United States, Egypt and Saudi Arabia. Frequent co-authors include Almoataz Y. Abdelaziz, Y. G. Hegazy, Mostafa El‐Khamy, Maher Rizkalla, Nouby M. Ghazaly, Mahmoud A. Attia, Mohammed Farrag, Gamal Fahmy, C.F. Yokomoto and Paul Salama. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Computer Physics 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.