Ibrahim M. El‐Dokany

612 citations
31 papers · 411 · h-index 11

Impact in

Papers in

Ibrahim M. El‐Dokany

30 papers receiving 393 citations

Peers

Ibrahim M. El‐Dokany
Comparison fields: 5 of 48
  • Media Technology 133
  • Computer Vision and Pattern Recognition 268
  • Signal Processing 73
  • Cognitive Neuroscience 71
  • Neurology 22
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Citations per field
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Citations per year

Countries citing papers authored by Ibrahim M. El‐Dokany

Since Specialization
Citations

This map shows the geographic impact of Ibrahim M. El‐Dokany'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 Ibrahim M. El‐Dokany with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ibrahim M. El‐Dokany more than expected).

Fields of papers citing papers by Ibrahim M. El‐Dokany

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ibrahim M. El‐Dokany. 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 Ibrahim M. El‐Dokany. The network helps show where Ibrahim M. El‐Dokany may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200872
2 201052
3 201939
4 202229
5 201528
6 202125
7 201824
8 201723
9 200819
10 202216
11 201912
12 20099
13 20228
14
Upgrading Efficiency and Improvement of the Performance of Broadband Wireless Optical Access Communication Networks
20117
15 20236
16 20215
17 20225
18 20145
19 20214
20 20184

About Ibrahim M. El‐Dokany

Ibrahim M. El‐Dokany is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Signal Processing, Artificial Intelligence and Media Technology, having authored 31 papers that have together received 411 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (12 papers), Advanced Steganography and Watermarking Techniques (7 papers), Advanced Image Fusion Techniques (5 papers), Coding theory and cryptography (5 papers), Advanced Photonic Communication Systems (4 papers), Blind Source Separation Techniques (4 papers), Biometric Identification and Security (4 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Media Technology (133 citations), Computer Vision and Pattern Recognition (268 citations), Signal Processing (73 citations), Cognitive Neuroscience (71 citations) and Neurology (22 citations). Ibrahim M. El‐Dokany has collaborated with scholars based in Egypt, Saudi Arabia and United Kingdom. Frequent co-authors include Fathi E. Abd El‐Samie, El‐Sayed M. El‐Rabaie, Mai Helmy, Walid El‐Shafai, Adel S. El‐Fishawy, Saleh A. Alshebeili, Turky N. Alotaiby, Mohsen A. M. El‐Bendary, Moawad I. Dessouky and F. S. Al-kamali. Their work appears in journals such as Optik, Multimedia Tools and Applications, International Journal of Speech Technology, Wireless Personal Communications and International Journal for Numerical Methods in Biomedical Engineering.

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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