Mohammed Aloraini

557 total citations
21 papers, 376 citations indexed

About

Mohammed Aloraini is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Mohammed Aloraini has authored 21 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Epidemiology. Recurrent topics in Mohammed Aloraini's work include Digital Media Forensic Detection (8 papers), Advanced Steganography and Watermarking Techniques (5 papers) and Chaos-based Image/Signal Encryption (4 papers). Mohammed Aloraini is often cited by papers focused on Digital Media Forensic Detection (8 papers), Advanced Steganography and Watermarking Techniques (5 papers) and Chaos-based Image/Signal Encryption (4 papers). Mohammed Aloraini collaborates with scholars based in Saudi Arabia, United States and Pakistan. Mohammed Aloraini's co-authors include Dan Schonfeld, Mehdi Sharifzadeh, Muhammad Islam, Shabana Habib, Suliman Aladhadh, Taimoor Ashraf Khan, Sheroz Khan, Mohammed F. Alsharekh, Chirag Agarwal and Saleh Alyahya and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Mohammed Aloraini

20 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammed Aloraini Saudi Arabia 10 227 109 49 42 27 21 376
Ibtissam Bakkouri Morocco 8 115 0.5× 150 1.4× 45 0.9× 59 1.4× 94 3.5× 11 348
Saif Ur Rehman Khan China 13 106 0.5× 136 1.2× 134 2.7× 18 0.4× 112 4.1× 31 363
Chetna Kaushal India 11 92 0.4× 205 1.9× 42 0.9× 23 0.5× 105 3.9× 44 439
Hritam Basak India 8 191 0.8× 226 2.1× 42 0.9× 52 1.2× 115 4.3× 12 410
Junaid Tariq Pakistan 12 233 1.0× 101 0.9× 65 1.3× 19 0.5× 69 2.6× 31 389
Asma Naseer Pakistan 12 123 0.5× 163 1.5× 106 2.2× 38 0.9× 61 2.3× 26 376
Ferhat Bozkurt Türkiye 11 119 0.5× 122 1.1× 34 0.7× 30 0.7× 75 2.8× 38 288
Hemprasad Yashwant Patil India 9 123 0.5× 115 1.1× 11 0.2× 96 2.3× 19 0.7× 43 353
Masum Shah Junayed Türkiye 10 121 0.5× 66 0.6× 11 0.2× 57 1.4× 108 4.0× 26 340
Kapil Kumar Nagwanshi India 7 80 0.4× 113 1.0× 20 0.4× 25 0.6× 70 2.6× 36 253

Countries citing papers authored by Mohammed Aloraini

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Aloraini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Aloraini

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Aloraini. A scholar is included among the top collaborators of Mohammed Aloraini 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 Mohammed Aloraini. Mohammed Aloraini 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.
Alourani, Abdullah, Muhammad Usman Ashraf, & Mohammed Aloraini. (2025). Smart waste management and classification system using advanced IoT and AI technologies. PeerJ Computer Science. 11. e2777–e2777. 2 indexed citations
2.
Islam, Muhammad, et al.. (2024). Optimal Features Driven Attention Network With Medium-Scale Benchmark for Wheat Diseases Recognition. IEEE Access. 12. 150739–150753. 1 indexed citations
3.
Aloraini, Mohammed, et al.. (2023). Combining the Transformer and Convolution for Effective Brain Tumor Classification Using MRI Images. Applied Sciences. 13(6). 3680–3680. 45 indexed citations
4.
Aloraini, Mohammed, et al.. (2023). Wind Energy Assessment Using Weibull Distribution with Different Numerical Estimation Methods: A Case Study. Emerging Science Journal. 7(6). 2260–2278. 27 indexed citations
5.
Islam, Muhammad, Mohammed Aloraini, Suliman Aladhadh, et al.. (2023). Toward a Vision-Based Intelligent System: A Stacked Encoded Deep Learning Framework for Sign Language Recognition. Sensors. 23(22). 9068–9068. 11 indexed citations
6.
Aloraini, Mohammed. (2023). An effective human monkeypox classification using vision transformer. International Journal of Imaging Systems and Technology. 34(1). 19 indexed citations
7.
Aloraini, Mohammed. (2023). Two-stream convolutional networks for skin cancer classification. Multimedia Tools and Applications. 83(10). 30741–30753. 2 indexed citations
8.
Aladhadh, Suliman, et al.. (2022). An Effective Skin Cancer Classification Mechanism via Medical Vision Transformer. Sensors. 22(11). 4008–4008. 66 indexed citations
9.
Aloraini, Mohammed, Mehdi Sharifzadeh, & Dan Schonfeld. (2022). Quantized Gaussian JPEG Steganography and Pool Steganalysis. IEEE Access. 10. 38031–38044. 9 indexed citations
10.
Aladhadh, Suliman, et al.. (2022). An Efficient Pest Detection Framework with a Medium-Scale Benchmark to Increase the Agricultural Productivity. Sensors. 22(24). 9749–9749. 11 indexed citations
11.
Aloraini, Mohammed. (2022). FaceMD: convolutional neural network-based spatiotemporal fusion facial manipulation detection. Signal Image and Video Processing. 17(1). 247–255. 3 indexed citations
12.
Habib, Shabana, et al.. (2022). An Efficient and Effective Deep Learning-Based Model for Real-Time Face Mask Detection. Sensors. 22(7). 2602–2602. 30 indexed citations
13.
Aloraini, Mohammed, et al.. (2020). Prevalence of generalized anxiety disorder among Saudi youth during COVID-19 pandemic in Saudi Arabia. International Journal of Medicine in Developing Countries. 2322–2327. 5 indexed citations
14.
Aloraini, Mohammed, Mehdi Sharifzadeh, & Dan Schonfeld. (2020). Sequential and Patch Analyses for Object Removal Video Forgery Detection and Localization. IEEE Transactions on Circuits and Systems for Video Technology. 31(3). 917–930. 66 indexed citations
15.
Aloraini, Mohammed, et al.. (2019). Dictionary Learning and Sparse Coding for Digital Image Forgery Detection. Electronic Imaging. 31(5). 531–1. 1 indexed citations
16.
Sharifzadeh, Mehdi, Mohammed Aloraini, & Dan Schonfeld. (2019). Quantized Gaussian Embedding Steganography. 6 indexed citations
17.
Aloraini, Mohammed, Mehdi Sharifzadeh, Chirag Agarwal, & Dan Schonfeld. (2019). Statistical Sequential Analysis for Object-based Video Forgery Detection. Electronic Imaging. 31(5). 543–1. 14 indexed citations
18.
Sharifzadeh, Mehdi, Mohammed Aloraini, & Dan Schonfeld. (2019). Adaptive Batch Size Image Merging Steganography and Quantized Gaussian Image Steganography. IEEE Transactions on Information Forensics and Security. 15. 867–879. 48 indexed citations
19.
Sharifzadeh, Mehdi, Chirag Agarwal, Mohammed Aloraini, & Dan Schonfeld. (2017). Convolutional neural network steganalysis's application to steganography. 1–4. 9 indexed citations
20.
AlQahtani, Salman A. & Mohammed Aloraini. (2012). Resolving Wireless Security Limitations Using a New Wi-Fi Secure Access. 773–777. 1 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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