Hala S. El‐sayed

1.6k citations
77 papers · 1.1k · h-index 20

Impact in

Papers in

Hala S. El‐sayed

75 papers receiving 1.0k citations

Peers

Hala S. El‐sayed
Comparison fields: 5 of 77
  • Computer Vision and Pattern Recognition 808
  • Signal Processing 151
  • Media Technology 99
  • Artificial Intelligence 226
  • Mathematical Physics 57
Replace Achraf Daoui with:
Achraf Daoui Morocco
Mohsen Machhout Tunisia
Zhiqiu Xia China
Lvchen Cao China
Jun Lang China
Wenying Wen China
Syam Sankar India
Mohiy M. Hadhoud Egypt
Jiangqun Ni China
Xiaosheng Zhuang Hong Kong
Hala S. El‐sayed relative to Achraf Daoui Morocco Achraf Daoui's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hala S. El‐sayed

Since Specialization
Citations

This map shows the geographic impact of Hala S. 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 Hala S. 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 Hala S. El‐sayed more than expected).

Fields of papers citing papers by Hala S. El‐sayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hala S. 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 Hala S. El‐sayed. The network helps show where Hala S. El‐sayed may publish in the future.

Co-authors

The 25 scholars most cited alongside Hala S. El‐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 Hala S. El‐sayed Line = papers co-authored together Hala S. El‐sayed links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202078
2 201865
3 202064
4 202059
5 201951
6 202050
7 202147
8 202040
9 202035
10 202129
11 201629
12 201329
13 201525
14 201525
15 201422
16 202321
17 202321
18 201621
19 202020
20 201520

About Hala S. El‐sayed

Hala S. El‐sayed is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Signal Processing and Computational Theory and Mathematics, having authored 77 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (40 papers), Advanced Steganography and Watermarking Techniques (34 papers), Digital Media Forensic Detection (14 papers), Cellular Automata and Applications (9 papers), Video Coding and Compression Technologies (6 papers), Cryptographic Implementations and Security (6 papers), Advanced MIMO Systems Optimization (4 papers) and Advanced Image Fusion Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (808 citations), Signal Processing (151 citations), Media Technology (99 citations), Artificial Intelligence (226 citations) and Mathematical Physics (57 citations). Hala S. El‐sayed has collaborated with scholars based in Egypt, Saudi Arabia and India. Frequent co-authors include Osama S. Faragallah, Walid El‐Shafai, Fathi E. Abd El‐Samie, Ashraf Afifi, Jehad F. Al‐Amri, Mohammed A. AlZain, Ensherah A. Naeem, El‐Sayed M. El‐Rabaie, Heba M. El‐Hoseny and Ben Soh. Their work appears in journals such as IEEE Access, Computers, materials & continua/Computers, materials & continua (Print), Wireless Personal Communications, Multimedia Tools and Applications and Optical and Quantum Electronics.

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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