Wafaa S. Sayed

920 citations
53 papers · 598 · h-index 15

Impact in

Papers in

Wafaa S. Sayed

49 papers receiving 579 citations

Peers

Wafaa S. Sayed
Comparison fields: 5 of 68
  • Statistical and Nonlinear Physics 273
  • Computer Vision and Pattern Recognition 341
  • Computational Theory and Mathematics 125
  • Computer Science Applications 37
  • Modeling and Simulation 25
Replace Thomas Bühler with:
Thomas Bühler Germany
Omar Guillén-Fernández Mexico
Kais Bouallegue Tunisia
Ahmad Beirami United States
Wenhao Liu China
Bhaskar Mondal India
Baoxiang Du China
Duqu Wei China
Hao Yin United States
Jean De Dieu Nkapkop Cameroon
Wafaa S. Sayed relative to Thomas Bühler Germany Thomas Bühler's profile →
Citations per field
00.5×10×15×20×
Thomas Bühler · 1×
Citations per year

Countries citing papers authored by Wafaa S. Sayed

Since Specialization
Citations

This map shows the geographic impact of Wafaa S. 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 Wafaa S. Sayed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wafaa S. Sayed more than expected).

Fields of papers citing papers by Wafaa S. Sayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wafaa S. 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 Wafaa S. Sayed. The network helps show where Wafaa S. Sayed may publish in the future.

Co-authors

The 22 scholars most cited alongside Wafaa S. Sayed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wafaa S. Sayed Line = papers co-authored together Wafaa S. Sayed links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202259
2 202046
3 202136
4 202236
5 202336
6 202130
7 201728
8 201827
9 201924
10 201523
11 202321
12 201819
13 201818
14 202017
15 202015
16 201714
17 202314
18 201713
19 201911
20 202211

About Wafaa S. Sayed

Wafaa S. Sayed is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Artificial Intelligence and Control and Systems Engineering, having authored 53 papers that have together received 598 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (41 papers), Chaos control and synchronization (33 papers), Quantum chaos and dynamical systems (13 papers), Advanced Steganography and Watermarking Techniques (8 papers), Cellular Automata and Applications (8 papers), Numerical Methods and Algorithms (6 papers), Cryptographic Implementations and Security (6 papers) and Nonlinear Dynamics and Pattern Formation (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (273 citations), Computer Vision and Pattern Recognition (341 citations), Computational Theory and Mathematics (125 citations), Computer Science Applications (37 citations) and Modeling and Simulation (25 citations). Wafaa S. Sayed has collaborated with scholars based in Egypt, United Arab Emirates and Canada. Frequent co-authors include Ahmed G. Radwan, Lobna A. Said, Hossam A. H. Fahmy, Salwa K. Abd–El–Hafiz, Mohammed F. Tolba, Ahmed H. Madian, A. Hamed, Samah El-Tantawy, Ahmed G. Radwan and Assim Sagahyroon. Their work appears in journals such as Electronics, IEEE Access, Multimedia Tools and Applications, International Journal of Bifurcation and Chaos and Complexity.

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.

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