E. A. Zanaty

899 total citations
52 papers, 629 citations indexed

About

E. A. Zanaty is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, E. A. Zanaty has authored 52 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 11 papers in Media Technology. Recurrent topics in E. A. Zanaty's work include Medical Image Segmentation Techniques (20 papers), Image Retrieval and Classification Techniques (16 papers) and Remote-Sensing Image Classification (10 papers). E. A. Zanaty is often cited by papers focused on Medical Image Segmentation Techniques (20 papers), Image Retrieval and Classification Techniques (16 papers) and Remote-Sensing Image Classification (10 papers). E. A. Zanaty collaborates with scholars based in Egypt, Saudi Arabia and Yemen. E. A. Zanaty's co-authors include Ashraf Afifi, Sultan Aljahdali, Mahmoud Abdel‐Aty, Mohammed Zidan, Abdel‐Haleem Abdel‐Aty, Omar Reyad, Narayan C. Debnath, Ahmed S. Ghiduk, Aly A. Farag and Ahmed Younes and has published in prestigious journals such as Scientific Reports, Alexandria Engineering Journal and Results in Physics.

In The Last Decade

E. A. Zanaty

49 papers receiving 579 citations

Peers

E. A. Zanaty

CVPR

NEURO

RNMI

Hailiang Ye China

Souham Meshoul Saudi Arabia

Michaël Mathieu United States

Eric Chen-Kuo Tsao United States

Lin Yuan China

Jianhua Wu China

S. Srinivas Kumar India

Mohiy M. Hadhoud Egypt

Virendra P. Vishwakarma India

Hailiang Ye China

E. A. Zanaty

300 ×1.1

CVPR

245 ×0.9

145 ×1.9

30 ×0.5

NEURO

36 ×0.8

RNMI

Citations per year, relative to E. A. Zanaty E. A. Zanaty (= 1×) peers Hailiang Ye

Countries citing papers authored by E. A. Zanaty

Since Specialization

Citations

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

Fields of papers citing papers by E. A. Zanaty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. A. Zanaty. 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 E. A. Zanaty. The network helps show where E. A. Zanaty may publish in the future.

Co-authorship network of co-authors of E. A. Zanaty

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

All Works

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20 of 20 papers shown

Reyad, Omar, et al.. (2024). Medical Image Privacy Enhancement Using Key Extension of Advanced Encryption Standard. 9(3). 211–216. 1 indexed citations

Zanaty, E. A., et al.. (2024). A Modified LEACH Protocol Using Multi-Hop Mechanism and Neural Networks for IoT Applications. 9(3). 274–285.

Zanaty, E. A., et al.. (2024). Synergistic integration of Multi-View Brain Networks and advanced machine learning techniques for auditory disorders diagnostics. Brain Informatics. 11(1). 3–3. 3 indexed citations

Zanaty, E. A., et al.. (2024). An efficient neural network LEACH protocol to extended lifetime of wireless sensor networks. Scientific Reports. 14(1). 26943–26943. 2 indexed citations

Ghorashi, Sara, et al.. (2023). Implementation of a quantum machine learning model for the categorization and analysis of COVID-19 cases. Journal of Intelligent & Fuzzy Systems. 1 indexed citations

Amer, Ali A., et al.. (2022). Software requirement selection using a combined multi‐objective optimisation technique. IET Software. 16(6). 558–575. 2 indexed citations

Elagan, S.K., et al.. (2021). Remote diagnostic and detection of coronavirus disease (COVID-19) system based on intelligent healthcare and internet of things. Results in Physics. 22. 103910–103910. 20 indexed citations

Zanaty, E. A., et al.. (2019). Medical Image Compression Based on Combining Region Growing and Wavelet Transform. 7(3). 57–57. 6 indexed citations

Altameem, Torki, et al.. (2016). Performance Analysis of Medical Image Compression Using Various Wavelet Techniques. Journal of Medical Imaging and Health Informatics. 6(6). 1451–1461. 2 indexed citations

10.

Zanaty, E. A., et al.. (2014). THREE DIMENSIONAL DATA REDUCTION ALGORITHM BASED ON SURFACE FITTING. Journal of Global Research in Computer Sciences. 5(10). 5–13. 2 indexed citations

11.

Zanaty, E. A. & Ahmed S. Ghiduk. (2013). A novel approach based on genetic algorithms and region growing for magnetic resonance image (MRI) segmentation. Computer Science and Information Systems. 10(3). 1319–1342. 14 indexed citations

12.

Ghoniemy, Said, et al.. (2013). IMPROVED FUZZY POSSIBLISTIC C-MEANS (IFPCM) ALGORITHMS FOR MAGNETIC RESONANCE IMAGES SEGMENTATION. Journal of Global Research in Computer Sciences. 4(1). 1–8. 2 indexed citations

13.

Afifi, Ashraf, E. A. Zanaty, & Said Ghoniemy. (2013). IMPROVING THE CLASSIFICATION ACCURACY USING SUPPORT VECTOR MACHINES (SVMS) WITH NEW KERNEL. Journal of Global Research in Computer Sciences. 4(2). 1–7. 9 indexed citations

14.

Aljahdali, Sultan, E. A. Zanaty, & Ashraf Afifi. (2013). NEW REGION GROWING ALGORITHM FOR BRAIN IMAGESSEGMENTATION. Journal of Global Research in Computer Sciences. 4(5). 1–6. 1 indexed citations

15.

Aljahdali, Sultan & E. A. Zanaty. (2012). Automatic Fuzzy Algorithms for Reliable Image Segmentation. 19. 166–175. 7 indexed citations

16.

Zanaty, E. A. & Ashraf Afifi. (2012). A watershed approach for improving medical image segmentation. Computer Methods in Biomechanics & Biomedical Engineering. 16(12). 1262–1272. 14 indexed citations

17.

Funatomi, Takuya, Michihiko Minoh, E. A. Zanaty, et al.. (2010). New region growing segmentation technique for MR images with weak boundaries (医用画像). IEICE Technical Report; IEICE Tech. Rep.. 110(280). 71–76. 9 indexed citations

18.

Zanaty, E. A. & Sultan Aljahdali. (2008). Improving the Accuracy of Support Vector Machines.. Computers and Their Applications. 196–202. 6 indexed citations

19.

Aljahdali, Sultan & E. A. Zanaty. (2008). Combining multiple segmentation methods for improving the segmentation accuracy. 649–653. 5 indexed citations

20.

El-Melegy, Moumen, et al.. (2007). On Cluster Validity Indexes in Fuzzy and Hard Clustering Algorithms for Image Segmentation. VI – 5. 27 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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