Hala S. El‐sayed

1.7k citations
77 papers · 1.2k · h-index 21

Impact in

Papers in

Hala S. El‐sayed

76 papers receiving 1.1k citations

Peers

Hala S. El‐sayed
Comparison fields: 5 of 78
  • Computer Vision and Pattern Recognition 856
  • Signal Processing 159
  • Media Technology 104
  • Artificial Intelligence 245
  • Mathematical Physics 59
Replace Adil Masood Siddiqui with:
Adil Masood Siddiqui Pakistan
Zhiqiu Xia China
Lvchen Cao China
Syam Sankar India
Jun Lang China
Mohiy M. Hadhoud Egypt
Jiangqun Ni China
Xiaosheng Zhuang Hong Kong
Jie Ling China
Jameel Ahmed Pakistan
Hala S. El‐sayed relative to Adil Masood Siddiqui Pakistan Adil Masood Siddiqui'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 202095
2 201870
3 202065
4 202061
5 201951
6 202050
7 202146
8 202041
9 202035
10 201634
11 201330
12 202129
13 201527
14 201426
15 201525
16 202024
17 202323
18 201623
19 202322
20 201721

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 1.2k 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 Antenna and Metasurface Technologies (4 papers) and Advanced MIMO Systems Optimization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (856 citations), Signal Processing (159 citations), Media Technology (104 citations), Artificial Intelligence (245 citations) and Mathematical Physics (59 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, Mohammed A. AlZain, Jehad F. Al‐Amri, Ensherah A. Naeem, El‐Sayed M. El‐Rabaie, Heba M. El‐Hoseny and Ben Soh. Their work appears in journals such as IEEE Access, Wireless Personal Communications, Computers, materials & continua/Computers, materials & continua (Print), 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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