Motaz Alfarraj

693 total citations
32 papers, 437 citations indexed

About

Motaz Alfarraj is a scholar working on Computer Vision and Pattern Recognition, Geophysics and Artificial Intelligence. According to data from OpenAlex, Motaz Alfarraj has authored 32 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 11 papers in Geophysics and 9 papers in Artificial Intelligence. Recurrent topics in Motaz Alfarraj's work include Seismic Imaging and Inversion Techniques (11 papers), Image and Signal Denoising Methods (5 papers) and Reservoir Engineering and Simulation Methods (5 papers). Motaz Alfarraj is often cited by papers focused on Seismic Imaging and Inversion Techniques (11 papers), Image and Signal Denoising Methods (5 papers) and Reservoir Engineering and Simulation Methods (5 papers). Motaz Alfarraj collaborates with scholars based in Saudi Arabia, United States and Australia. Motaz Alfarraj's co-authors include Ghassan AlRegib, Yazeed Alaudah, Zhiling Long, Sadam Al-Azani, Haibin Di, Mohamed Deriche, Maad Alowaifeer, Ardiansyah Koeshidayatullah, Zhen Wang and Emmanuel Okafor and has published in prestigious journals such as Journal of Cleaner Production, International Journal of Molecular Sciences and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Motaz Alfarraj

28 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Motaz Alfarraj Saudi Arabia 11 245 185 116 94 69 32 437
Xinfei Yan China 11 398 1.6× 264 1.4× 181 1.6× 90 1.0× 111 1.6× 34 506
Meng Jin China 9 75 0.3× 149 0.8× 130 1.1× 72 0.8× 108 1.6× 28 399
Guofa Li China 16 425 1.7× 243 1.3× 180 1.6× 39 0.4× 131 1.9× 97 796
Fatimah Alzubaidi Australia 6 68 0.3× 172 0.9× 176 1.5× 58 0.6× 142 2.1× 7 342
Kewen Li China 11 167 0.7× 146 0.8× 86 0.7× 112 1.2× 73 1.1× 35 373
Dailu Zhang China 8 52 0.2× 116 0.6× 127 1.1× 126 1.3× 160 2.3× 19 337
Muhammad Rashid Pakistan 11 31 0.1× 75 0.4× 85 0.7× 134 1.4× 89 1.3× 37 431
Ahmad Afshar Iran 10 73 0.3× 65 0.4× 48 0.4× 33 0.4× 22 0.3× 24 325

Countries citing papers authored by Motaz Alfarraj

Since Specialization
Citations

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

Fields of papers citing papers by Motaz Alfarraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Motaz Alfarraj

This figure shows the co-authorship network connecting the top 25 collaborators of Motaz Alfarraj. A scholar is included among the top collaborators of Motaz Alfarraj 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 Motaz Alfarraj. Motaz Alfarraj 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.
Okafor, Emmanuel, et al.. (2025). Interpretable Deep Learning for Classifying Skin Lesions. International Journal of Intelligent Systems. 2025(1). 1 indexed citations
2.
Al-Azani, Sadam, et al.. (2024). Real-Time Monitoring of Personal Protective Equipment Compliance in Surveillance Cameras. IEEE Access. 12. 121882–121895. 4 indexed citations
3.
Alfarraj, Motaz, et al.. (2024). Geology-constrained dynamic graph convolutional networks for seismic facies classification. Computers & Geosciences. 184. 105516–105516. 2 indexed citations
4.
Al-Azani, Sadam, et al.. (2024). Gene Expression-Based Cancer Classification for Handling the Class Imbalance Problem and Curse of Dimensionality. International Journal of Molecular Sciences. 25(4). 2102–2102. 8 indexed citations
5.
6.
Alfarraj, Motaz, et al.. (2024). The KIND Dataset: A Social Collaboration Approach for Nuanced Dialect Data Collection. 32–43. 2 indexed citations
7.
Alowaifeer, Maad, et al.. (2024). Explainable deep learning diagnostic system for prediction of lung disease from medical images. Computers in Biology and Medicine. 170. 108012–108012. 18 indexed citations
8.
9.
Liu, Mingliang, et al.. (2023). Probabilistic physics-informed neural network for seismic petrophysical inversion. Geophysics. 89(2). M17–M32. 10 indexed citations
10.
11.
Alfarraj, Motaz, et al.. (2023). ESC-PAN: An Efficient CNN Architecture for Image Super-Resolution. IEEE Access. 11. 76120–76131. 1 indexed citations
12.
Nemitallah, Medhat A., Maad Alowaifeer, Fahad Alzahrani, et al.. (2023). Artificial intelligence for control and optimization of boilers’ performance and emissions: A review. Journal of Cleaner Production. 417. 138109–138109. 40 indexed citations
13.
Okafor, Emmanuel, et al.. (2023). Deep reinforcement learning with light-weight vision model for sequential robotic object sorting. Journal of King Saud University - Computer and Information Sciences. 36(1). 101896–101896. 7 indexed citations
14.
Iqbal, Naveed, Mudassir Masood, Motaz Alfarraj, & Umair bin Waheed. (2023). Deep Seismic CS: A Deep Learning Assisted Compressive Sensing for Seismic Data. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–9. 12 indexed citations
15.
Alfarraj, Motaz, et al.. (2022). Efficient Self-Calibrated Convolution for Real-Time Image Super-Resolution. 2022 IEEE International Conference on Image Processing (ICIP). 1176–1180. 2 indexed citations
16.
Mohamed, Mohamed H., et al.. (2022). Machine Learning Based Solar Power Forecasting Techniques: Analysis and Comparison. 1–6. 2 indexed citations
17.
Alfarraj, Motaz, et al.. (2022). Efficient seismic image super-resolution. Second International Meeting for Applied Geoscience & Energy. 1659–1663. 5 indexed citations
18.
Alfarraj, Motaz, Yazeed Alaudah, Zhiling Long, & Ghassan AlRegib. (2018). Multiresolution analysis and learning for computational seismic interpretation. The Leading Edge. 37(6). 443–450. 10 indexed citations
19.
AlRegib, Ghassan, Mohamed Deriche, Zhiling Long, et al.. (2018). Subsurface Structure Analysis Using Computational Interpretation and Learning: A Visual Signal Processing Perspective. IEEE Signal Processing Magazine. 35(2). 82–98. 57 indexed citations
20.
Alfarraj, Motaz, Yazeed Alaudah, & Ghassan AlRegib. (2016). Content-adaptive non-parametric texture similarity measure. arXiv (Cornell University). 1–6. 10 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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