Mahmoud E. Farfoura

800 total citations · 1 hit paper
21 papers, 601 citations indexed

About

Mahmoud E. Farfoura is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Mahmoud E. Farfoura has authored 21 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Signal Processing and 5 papers in Artificial Intelligence. Recurrent topics in Mahmoud E. Farfoura's work include Advanced Steganography and Watermarking Techniques (9 papers), Chaos-based Image/Signal Encryption (6 papers) and Digital Media Forensic Detection (5 papers). Mahmoud E. Farfoura is often cited by papers focused on Advanced Steganography and Watermarking Techniques (9 papers), Chaos-based Image/Signal Encryption (6 papers) and Digital Media Forensic Detection (5 papers). Mahmoud E. Farfoura collaborates with scholars based in Jordan, Taiwan and United States. Mahmoud E. Farfoura's co-authors include Ismail Al-Taharwa, Chien‐Kuo Chiu, Jui‐Sheng Chou, Shi‐Jinn Horng, Ali Al‐Haj, Ahmad Mohammad, Wang Xian, Sharon B. Megdal, Ayoup M. Ghrair and Othman Al‐Mashaqbeh and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Intelligent Transportation Systems and Sustainability.

In The Last Decade

Mahmoud E. Farfoura

17 papers receiving 570 citations

Hit Papers

Optimizing the Prediction Accuracy of Concrete Compressiv... 2010 2026 2015 2020 2010 100 200 300
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.

  1. Optimizing the Prediction Accuracy of Concrete Compressive Strength Based on a Comparison of Data-Mining Techniques
    2010 312 citations Mahmoud E. Farfoura et al. profile →

Peers

Mahmoud E. Farfoura
Abdullah Alfarrarjeh United States
Vung Pham United States
Mingxuan Zhou China
Gang Yu China
Debopriya Roy Dipta United States
Ngoc‐Mai Nguyen Taiwan
Sarbartha Sarkar India
Rui Yan China
Abdullah Alfarrarjeh United States
Mahmoud E. Farfoura
Citations per year, relative to Mahmoud E. Farfoura Mahmoud E. Farfoura (= 1×) peers Abdullah Alfarrarjeh

Countries citing papers authored by Mahmoud E. Farfoura

Since Specialization
Citations

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

Fields of papers citing papers by Mahmoud E. Farfoura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahmoud E. Farfoura

This figure shows the co-authorship network connecting the top 25 collaborators of Mahmoud E. Farfoura. A scholar is included among the top collaborators of Mahmoud E. Farfoura 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 Mahmoud E. Farfoura. Mahmoud E. Farfoura 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.
Farfoura, Mahmoud E., et al.. (2025). A CatBoost Predictive Model for Parkinson's Disease Early Detection. 1–6.
2.
Chen, Hui, Tee Connie, Michael Kah Ong Goh, et al.. (2025). A Non-Invasive Gait-Based Screening Approach for Parkinson’s Disease Using Time-Series Analysis. Symmetry. 17(9). 1385–1385.
3.
Farfoura, Mahmoud E., et al.. (2024). A novel lightweight Machine Learning framework for IoT malware classification based on matrix block mean Downsampling. Ain Shams Engineering Journal. 16(1). 103205–103205. 1 indexed citations
4.
Farfoura, Mahmoud E., Ahmad Alkhatib, Deema Mohammed Alsekait, et al.. (2024). A Low Complexity ML-Based Methods for Malware Classification. Computers, materials & continua/Computers, materials & continua (Print). 80(3). 4833–4857. 1 indexed citations
5.
Farfoura, Mahmoud E., et al.. (2024). Arabic Fake News Detection Using Deep Neural Network Transformers. 163–168.
6.
Farfoura, Mahmoud E., et al.. (2024). A lightweight machine learning methods for malware classification. Cluster Computing. 28(1). 13 indexed citations
7.
Khashan, Osama A., et al.. (2024). Performance Comparison of Hyper-V and KVM for Cryptographic Tasks in Cloud Computing. Computers, materials & continua/Computers, materials & continua (Print). 78(2). 2023–2045.
8.
Alshamaila, Yazn, et al.. (2023). Complexities, Challenges, and Opportunities of Mobile Learning: A Case Study at the University of Jordan. Sustainability. 15(12). 9564–9564. 6 indexed citations
9.
Farfoura, Mahmoud E., et al.. (2023). A Fragile Watermarking Method for Content-Authentication of H.264-AVC Video. Journal of Internet Services and Information Security. 13(2). 211–232. 4 indexed citations
10.
Al‐Haj, Ali & Mahmoud E. Farfoura. (2019). Providing Security for E-Government Document Images Using Digital Watermarking in the Frequency Domain. 19. 77–81. 3 indexed citations
11.
Mohammad, Ahmad, Ali Al‐Haj, & Mahmoud E. Farfoura. (2018). An improved capacity data hiding technique based on image interpolation. Multimedia Tools and Applications. 78(6). 7181–7205. 46 indexed citations
12.
Ghrair, Ayoup M., et al.. (2016). Influence of grey water on physical and mechanical properties of mortar and concrete mixes. Ain Shams Engineering Journal. 9(4). 1519–1525. 58 indexed citations
13.
Al‐Haj, Ali, Mahmoud E. Farfoura, & Ahmad Mohammad. (2016). Transform-based watermarking of 3D depth-image-based-rendering images. Measurement. 95. 405–417. 15 indexed citations
14.
Guo, Jing-Ming, Heri Prasetyo, Mahmoud E. Farfoura, & Hua Lee. (2015). Vehicle Verification Using Features From Curvelet Transform and Generalized Gaussian Distribution Modeling. IEEE Transactions on Intelligent Transportation Systems. 16(4). 1989–1998. 10 indexed citations
15.
Farfoura, Mahmoud E., Shi‐Jinn Horng, Jing-Ming Guo, & Ali Al‐Haj. (2015). Low complexity semi-fragile watermarking scheme for H.264/AVC authentication. Multimedia Tools and Applications. 75(13). 7465–7493. 18 indexed citations
16.
Al-Hmoud, Nisreen, et al.. (2014). Unconventional P-35S sequence identified in genetically modified maize. GM crops & food. 5(1). 58–64. 3 indexed citations
17.
Horng, Shi‐Jinn, Mahmoud E. Farfoura, Pingzhi Fan, et al.. (2013). A low cost fragile watermarking scheme in H.264/AVC compressed domain. Multimedia Tools and Applications. 72(3). 2469–2495. 19 indexed citations
18.
Farfoura, Mahmoud E., Shi‐Jinn Horng, & Wang Xian. (2012). A novel blind reversible method for watermarking relational databases. Journal of the Chinese Institute of Engineers. 36(1). 87–97. 24 indexed citations
19.
Farfoura, Mahmoud E., Shi‐Jinn Horng, Jui‐Lin Lai, et al.. (2011). A blind reversible method for watermarking relational databases based on a time-stamping protocol. Expert Systems with Applications. 39(3). 3185–3196. 51 indexed citations
20.
Farfoura, Mahmoud E. & Shi‐Jinn Horng. (2010). A Novel Blind Reversible Method for Watermarking Relational Databases. 563–569. 17 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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