Salah M. El‐Sayed
- Modeling and Simulation top 0.2%
- Numerical Analysis top 0.5%
- Statistical and Nonlinear Physics top 1%
- Computational Theory and Mathematics top 1%
- Applied Mathematics top 2%
- Co-authors
- Doǧan KayaAbdul–Majid WazwazAndré C. M. RanElsayed M.E. ElbarbaryIvan IvanovZhenyun PengMohamed A. RamadanHowida A. Shedeed
- Topics
- Fractional Differential Equations Solutions (21 papers)Matrix Theory and Algorithms (20 papers)Iterative Methods for Nonlinear Equations (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessPhysics Letters A
In The Last Decade
Salah M. El‐Sayed
54 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 78
- Modeling and Simulation 994
- Numerical Analysis 952
- Statistical and Nonlinear Physics 765
- Computational Theory and Mathematics 400
- Applied Mathematics 235
Countries citing papers authored by Salah M. El‐Sayed
This map shows the geographic impact of Salah M. El‐Sayed'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 Salah M. El‐Sayed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salah M. El‐Sayed more than expected).
Fields of papers citing papers by Salah M. El‐Sayed
This network shows the impact of papers produced by Salah M. El‐Sayed. 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 Salah M. El‐Sayed. The network helps show where Salah M. El‐Sayed may publish in the future.
Co-authorship network of co-authors of Salah M. El‐Sayed
This figure shows the co-authorship network connecting the top 25 collaborators of Salah M. El‐Sayed. A scholar is included among the top collaborators of Salah M. El‐Sayed 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 Salah M. El‐Sayed. Salah M. El‐Sayed 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 | 29 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | Design and Fabrication Smart Garbage Management and Monitoring System Using Automatic Unloading Robot in Residential Area. | 2 |
| 6 | Increasing The Performance Of Mobile Smartphones Using Partition And Migration Of Mobile Applications To Cloud Computing | 5 |
| 7 | 21 | |
| 8 | 25 | |
| 9 | 2 | |
| 10 | 36 | |
| 11 | 24 | |
| 12 | 19 | |
| 13 | 34 | |
| 14 | 123 | |
| 15 | 60 | |
| 16 | 11 | |
| 17 | 18 | |
| 18 | 3 | |
| 19 | 9 | |
| 20 | 49 |
About Salah M. El‐Sayed
Salah M. El‐Sayed is a scholar working on Numerical Analysis, Modeling and Simulation and Computational Theory and Mathematics, having authored 56 papers that have together received 1.9k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (21 papers), Matrix Theory and Algorithms (20 papers) and Iterative Methods for Nonlinear Equations (18 papers). The work is most often cited by research in Modeling and Simulation (994 citations), Numerical Analysis (952 citations) and Statistical and Nonlinear Physics (765 citations). Salah M. El‐Sayed has collaborated with scholars based in Egypt, Türkiye and Bulgaria. Frequent co-authors include Doǧan Kaya, Abdul–Majid Wazwaz, Doǧan Kaya, André C. M. Ran, Elsayed M.E. Elbarbary, Ivan Ivanov, Zhenyun Peng, Mohamed A. Ramadan, Howida A. Shedeed and Vejdi I. Hasanov. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Physics Letters A.
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.