Faris Kateb

512 total citations
35 papers, 303 citations indexed

About

Faris Kateb is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Faris Kateb has authored 35 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Faris Kateb's work include Machine Learning in Bioinformatics (3 papers), Topic Modeling (3 papers) and Face recognition and analysis (3 papers). Faris Kateb is often cited by papers focused on Machine Learning in Bioinformatics (3 papers), Topic Modeling (3 papers) and Face recognition and analysis (3 papers). Faris Kateb collaborates with scholars based in Saudi Arabia, China and Pakistan. Faris Kateb's co-authors include Md. Abdul Hamid, Muhammad Mostafa Monowar, Jugal Kalita, Bahjat Fakieh, Zahid Ullah, Farrukh Saleem, Abu Quwsar Ohi, M. F. Mridha, Wajdi Alghamdi and Farman Ali and has published in prestigious journals such as Scientific Reports, IEEE Access and International Journal of Environmental Research and Public Health.

In The Last Decade

Faris Kateb

27 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Faris Kateb Saudi Arabia	11	99	60	36	33	33	35	303
Md. Abul Ala Walid Bangladesh	9	113 1.1×	64 1.1×	10 0.3×	46 1.4×	13 0.4×	45	255
Karim Gasmi Saudi Arabia	11	119 1.2×	92 1.5×	16 0.4×	72 2.2×	5 0.2×	34	345
Godwin Brown Tunze Tanzania	7	139 1.4×	42 0.7×	21 0.6×	22 0.7×	5 0.2×	8	294
Abhinav Juneja India	10	61 0.6×	35 0.6×	20 0.6×	24 0.7×	4 0.1×	23	225
Jyothisha J. Nair India	11	131 1.3×	72 1.2×	29 0.8×	59 1.8×	3 0.1×	49	304
Suzana Loškovska North Macedonia	10	186 1.9×	206 3.4×	49 1.4×	41 1.2×	9 0.3×	43	400
LI Xiao-mei China	8	113 1.1×	166 2.8×	9 0.3×	37 1.1×	8 0.2×	36	329
R. Cristin India	9	88 0.9×	79 1.3×	18 0.5×	16 0.5×	3 0.1×	31	279
Zainab Abu Bakar Malaysia	9	199 2.0×	52 0.9×	25 0.7×	20 0.6×	8 0.2×	80	347
Dathar Abas Hasan Iraq	11	67 0.7×	57 0.9×	10 0.3×	71 2.2×	6 0.2×	23	309

Countries citing papers authored by Faris Kateb

Since Specialization

Citations

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

Fields of papers citing papers by Faris Kateb

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faris Kateb

This figure shows the co-authorship network connecting the top 25 collaborators of Faris Kateb. A scholar is included among the top collaborators of Faris Kateb 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 Faris Kateb. Faris Kateb 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

Kateb, Faris, et al.. (2025). Drone Frame Optimization via Simulation and 3D Printing. Computers. 14(8). 328–328.

Kateb, Faris, et al.. (2025). Constructing and evaluating ArabicStanceX: a social media dataset for Arabic stance detection. Frontiers in Artificial Intelligence. 8. 1615800–1615800.

Kateb, Faris, et al.. (2025). Improved security for IoT-based remote healthcare systems using deep learning with jellyfish search optimization algorithm. Scientific Reports. 15(1). 13223–13223. 1 indexed citations

Ragab, Mahmoud, et al.. (2025). Leveraging AI for Sustainable Deepfake Human Face Detection Using Transfer Learning Technique. 228–232. 1 indexed citations

Ragab, Mahmoud, et al.. (2025). Classification of human-written and AI-generated sentences using a hybrid CNN-GRU model optimized by the spotted hyena algorithm. Alexandria Engineering Journal. 126. 116–130.

Bilal, Anas, et al.. (2025). A quantum-optimized approach for breast cancer detection using SqueezeNet-SVM. Scientific Reports. 15(1). 3254–3254. 14 indexed citations

Kateb, Faris, et al.. (2025). Enhancing Smart Home Efficiency with Heuristic-Based Energy Optimization. Computers. 14(4). 149–149. 1 indexed citations

Jarraya, Salma Kammoun, et al.. (2024). Enhancing Security in Multimodal Biometric Fusion: Analyzing Adversarial Attacks. IEEE Access. 12. 106133–106145. 1 indexed citations

Ali, Farman, Harish Kumar, Wajdi Alghamdi, Faris Kateb, & Fawaz Khaled Alarfaj. (2023). Recent Advances in Machine Learning-Based Models for Prediction of Antiviral Peptides. Archives of Computational Methods in Engineering. 30(7). 4033–4044. 32 indexed citations

10.

Kateb, Faris, et al.. (2023). Archimedes Optimization with Deep Learning Based Aerial Image Classification for Cybersecurity Enabled UAV Networks. Computer Systems Science and Engineering. 47(2). 2171–2185. 7 indexed citations

11.

Alghamdi, Wajdi, Faris Kateb, & Madini O. Alassafi. (2023). Artificial Intelligence and Machine Learning.

12.

Faruqui, Nuruzzaman, Mohammad Abu Yousuf, Faris Kateb, Md. Abdul Hamid, & Muhammad Mostafa Monowar. (2023). Healthcare As a Service (HAAS): CNN-based cloud computing model for ubiquitous access to lung cancer diagnosis. Heliyon. 9(11). e21520–e21520. 34 indexed citations

13.

Ragab, Mahmoud, et al.. (2023). A Machine Learning Approach for Monitoring and Classifying Healthcare Data-A Case of Emergency Department of KSA Hospitals. International Journal of Environmental Research and Public Health. 20(6). 4794–4794. 3 indexed citations

14.

Alassafi, Madini O., Muhammad Sohail Ibrahim, Imran Naseem, et al.. (2023). Fully supervised contrastive learning in latent space for face presentation attack detection. Applied Intelligence. 53(19). 21770–21787. 7 indexed citations

15.

Jarraya, Salma Kammoun, et al.. (2023). Deep Analysis of Student Body Activities to Detect Engagement State in E-Learning Sessions. Applied Sciences. 13(4). 2591–2591. 3 indexed citations

16.

Ragab, Mahmoud, et al.. (2023). Archimedes Optimization Algorithm with Deep Learning-Based Prostate Cancer Classification on Magnetic Resonance Imaging. Healthcare. 11(4). 590–590. 7 indexed citations

17.

Alassafi, Madini O., Muhammad Sohail Ibrahim, Imran Naseem, et al.. (2023). A Novel Deep Learning Architecture With Image Diffusion for Robust Face Presentation Attack Detection. IEEE Access. 11. 59204–59216. 15 indexed citations

18.

Monowar, Muhammad Mostafa, Md. Abdul Hamid, Faris Kateb, Abu Quwsar Ohi, & M. F. Mridha. (2022). Self-Supervised Clustering for Leaf Disease Identification. Agriculture. 12(6). 814–814. 18 indexed citations

19.

Ohi, Abu Quwsar, M. F. Mridha, Md. Abdul Hamid, Muhammad Mostafa Monowar, & Faris Kateb. (2021). FabricNet: A Fiber Recognition Architecture Using Ensemble ConvNets. IEEE Access. 9. 13224–13236. 15 indexed citations

20.

Altalbe, Ali & Faris Kateb. (2021). Assuring enhanced privacy violation detection model for social networks. International Journal of Intelligent Computing and Cybernetics. 15(1). 75–91. 2 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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