Zyad Shaaban

950 total citations · 1 hit paper
11 papers, 685 citations indexed

About

Zyad Shaaban is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Zyad Shaaban has authored 11 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Information Systems and 2 papers in Computer Networks and Communications. Recurrent topics in Zyad Shaaban's work include Advanced Steganography and Watermarking Techniques (2 papers), Image Processing and 3D Reconstruction (2 papers) and Face and Expression Recognition (2 papers). Zyad Shaaban is often cited by papers focused on Advanced Steganography and Watermarking Techniques (2 papers), Image Processing and 3D Reconstruction (2 papers) and Face and Expression Recognition (2 papers). Zyad Shaaban collaborates with scholars based in Saudi Arabia and Jordan. Zyad Shaaban's co-authors include Luai Al-Shalabi, Saudi Arabia, Mohammed M. Alwakeel, Ahmed Alsswey and Osama Moh’d Alia and has published in prestigious journals such as International Journal of Automation and Computing and Journal of Computer Science.

In The Last Decade

Zyad Shaaban

10 papers receiving 638 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Data Mining: A Preprocessing Engine

2006 426 citations Luai Al-Shalabi, Zyad Shaaban et al. Journal of Computer Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Zyad Shaaban Saudi Arabia	7	191	135	91	67	62	11	685
Luai Al-Shalabi Kuwait	5	194 1.0×	82 0.6×	105 1.2×	52 0.8×	42 0.7×	13	622
G. Maragatham India	9	166 0.9×	107 0.8×	52 0.6×	52 0.8×	77 1.2×	39	614
Youssef Ghanou Morocco	9	278 1.5×	81 0.6×	75 0.8×	47 0.7×	62 1.0×	21	649
Bhushankumar Nemade India	10	195 1.0×	163 1.2×	91 1.0×	55 0.8×	58 0.9×	27	808
Bruno Baruque Spain	12	174 0.9×	100 0.7×	44 0.5×	75 1.1×	59 1.0×	30	452
Zhenyun Deng China	8	312 1.6×	139 1.0×	90 1.0×	74 1.1×	57 0.9×	17	707
Ying Cao China	8	221 1.2×	84 0.6×	82 0.9×	94 1.4×	34 0.5×	17	728
Dharmender Kumar India	14	269 1.4×	100 0.7×	94 1.0×	109 1.6×	48 0.8×	66	832
Rupesh Gupta India	20	245 1.3×	233 1.7×	65 0.7×	72 1.1×	114 1.8×	210	1.3k
Kittisak Kerdprasop Thailand	12	268 1.4×	85 0.6×	123 1.4×	59 0.9×	49 0.8×	86	683

Countries citing papers authored by Zyad Shaaban

Since Specialization

Citations

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

Fields of papers citing papers by Zyad Shaaban

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zyad Shaaban. 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 Zyad Shaaban. The network helps show where Zyad Shaaban may publish in the future.

Co-authorship network of co-authors of Zyad Shaaban

This figure shows the co-authorship network connecting the top 25 collaborators of Zyad Shaaban. A scholar is included among the top collaborators of Zyad Shaaban 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 Zyad Shaaban. Zyad Shaaban is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Shaaban, Zyad, et al.. (2014). Course File Management System.

2.

Alia, Osama Moh’d, et al.. (2014). Musicians'-inspired clustering protocol for efficient energy Wireless Sensor Networks. 29. 1–6. 13 indexed citations

3.

Shaaban, Zyad. (2011). Face detection methods. 17–20. 4 indexed citations

4.

Shaaban, Zyad. (2011). An Intelligent License Plate Recognition System. 8 indexed citations

5.

Shaaban, Zyad, et al.. (2010). Watermarking of digital images in frequency domain. International Journal of Automation and Computing. 7(1). 17–22. 16 indexed citations

6.

Alwakeel, Mohammed M., Saudi Arabia, & Zyad Shaaban. (2010). Face Recognition Based on Haar Wavelet Transform and Principal Component Analysis via Levenberg-Marquardt Backpropagation Neural Network. 31 indexed citations

7.

Shaaban, Zyad, et al.. (2009). OBJECT CLASSIFICATION VIA GEOMETRICAL, ZERNIKE AND LEGENDRE MOMENTS. 24 indexed citations

8.

Shaaban, Zyad, et al.. (2009). Watermarking scheme for copyright of digital images. 3 indexed citations

9.

Shaaban, Zyad, et al.. (2008). Shape Representation and Retrieval Using Radial Basis Probabilistic Neural Networks. 3 indexed citations

10.

Al-Shalabi, Luai, et al.. (2006). Data Mining: A Preprocessing Engine. Journal of Computer Science. 2(9). 735–739. 426 indexed citations breakdown →

11.

Al-Shalabi, Luai & Zyad Shaaban. (2006). Normalization as a Preprocessing Engine for Data Mining and the Approach of Preference Matrix. 207–214. 157 indexed citations

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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