Muhammad A. Rushdi

669 total citations
46 papers, 459 citations indexed

About

Muhammad A. Rushdi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Muhammad A. Rushdi has authored 46 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 7 papers in Media Technology. Recurrent topics in Muhammad A. Rushdi's work include Image and Signal Denoising Methods (7 papers), AI in cancer detection (6 papers) and Chaos-based Image/Signal Encryption (6 papers). Muhammad A. Rushdi is often cited by papers focused on Image and Signal Denoising Methods (7 papers), AI in cancer detection (6 papers) and Chaos-based Image/Signal Encryption (6 papers). Muhammad A. Rushdi collaborates with scholars based in Egypt, United States and Saudi Arabia. Muhammad A. Rushdi's co-authors include M. H. Annaby, Mohammed Mohammed Mohammed Gomaa, Ayman El‐Baz, Inas A. Yassine, Jeffrey Ho, Heba I. Elkhouly, Ahmed M. Mahmoud, Mohsen Ali, M. Rasmy and Ahmed Badawi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Muhammad A. Rushdi

41 papers receiving 444 citations

Peers

Muhammad A. Rushdi
Xu Lu China
Yu Zeng China
Xujing Yao United Kingdom
Muhammad A. Rushdi
Citations per year, relative to Muhammad A. Rushdi Muhammad A. Rushdi (= 1×) peers Hiroharu Kawanaka

Countries citing papers authored by Muhammad A. Rushdi

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad A. Rushdi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad A. Rushdi

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

All Works

20 of 20 papers shown
1.
Abdel‐Aty, Mohamed, Muhammad A. Rushdi, M. Rasmy, & M. H. Annaby. (2025). Graph vertex and spectral features for EEG-based motor imagery classification. Computers in Biology and Medicine. 189. 109944–109944. 1 indexed citations
3.
Ayana, Gelan, et al.. (2024). Superpixel-based Landmark Identification and Disease Diagnosis from Gastrointestinal Images. Journal of Electrical Engineering and Technology. 19(5). 3373–3389.
4.
Annaby, M. H., et al.. (2024). On 3D encryption schemes based on chaotic permutations and rotations with geometric stability. Optik. 300. 171680–171680. 4 indexed citations
5.
Kamal, Rasha, et al.. (2023). An efficient hybrid computer-aided breast cancer diagnosis system with wavelet packet transform and synthetically-generated contrast-enhanced spectral mammography images. Biomedical Signal Processing and Control. 85. 104808–104808. 8 indexed citations
7.
Annaby, M. H., et al.. (2021). Multiparameter discrete transforms based on discrete orthogonal polynomials and their application to image watermarking. Signal Processing Image Communication. 99. 116434–116434. 2 indexed citations
8.
Annaby, M. H., et al.. (2021). Melanoma Detection Using Spatial and Spectral Analysis on Superpixel Graphs. Journal of Digital Imaging. 34(1). 162–181. 10 indexed citations
9.
El‐Gamal, Ali A., et al.. (2021). Brain Tumor Segmentation using 3D U-Net with Hyperparameter Optimization. 269–272. 5 indexed citations
10.
Rushdi, Muhammad A., et al.. (2021). Superpixel-based Segmentation and Classification of Gastrointestinal Landmarks and Diseases. 1–5. 3 indexed citations
11.
Elkhouly, Heba I., et al.. (2020). Eco-friendly date-seed nanofillers for polyethylene terephthalate composite reinforcement. Materials Research Express. 7(2). 25101–25101. 17 indexed citations
12.
Rushdi, Muhammad A., et al.. (2019). Yield Optimization for Organic GreenhouseCucumber Production. AMERICAN-EURASIAN JOURNAL OF SUSTAINABLE AGRICULTURE. 1 indexed citations
14.
Rushdi, Muhammad A., et al.. (2019). Morphological characterization of breast tumors using conventional B-mode ultrasound images. PubMed. 2019. 6620–6623. 6 indexed citations
15.
Rushdi, Muhammad A., et al.. (2019). Wavelet-based computationally-efficient computer-aided characterization of liver steatosis using conventional B-mode ultrasound images. Biomedical Signal Processing and Control. 52. 84–96. 13 indexed citations
16.
Annaby, M. H., et al.. (2018). Difference operators and generalized discrete fractional transforms in signal and image processing. Signal Processing. 151. 1–18. 16 indexed citations
17.
Annaby, M. H., et al.. (2017). On security of image ciphers based on logic circuits and chaotic permutations. Multimedia Tools and Applications. 77(16). 20455–20476. 5 indexed citations
18.
Annaby, M. H., et al.. (2016). Image encryption via discrete fractional Fourier-type transforms generated by random matrices. Signal Processing Image Communication. 49. 25–46. 25 indexed citations
19.
Rushdi, Ali Muhammad Ali, et al.. (2015). A Modern Syllogistic Method in Intuitionistic Fuzzy Logic with Realistic Tautology. The Scientific World JOURNAL. 2015(1). 327390–327390. 3 indexed citations
20.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026