Mohammad Yahya H. Al-Shamri

794 total citations
20 papers, 513 citations indexed

About

Mohammad Yahya H. Al-Shamri is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Mohammad Yahya H. Al-Shamri has authored 20 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 10 papers in Computer Vision and Pattern Recognition and 6 papers in Artificial Intelligence. Recurrent topics in Mohammad Yahya H. Al-Shamri's work include Recommender Systems and Techniques (11 papers), Image Retrieval and Classification Techniques (5 papers) and Advanced Bandit Algorithms Research (5 papers). Mohammad Yahya H. Al-Shamri is often cited by papers focused on Recommender Systems and Techniques (11 papers), Image Retrieval and Classification Techniques (5 papers) and Advanced Bandit Algorithms Research (5 papers). Mohammad Yahya H. Al-Shamri collaborates with scholars based in Saudi Arabia, Yemen and India. Mohammad Yahya H. Al-Shamri's co-authors include Kamal K. Bharadwaj, Omar Nouali, Mohammed S. Alqahtani, F. S. Al-kamali, Manjunathan Alagarsamy, Azath Mubarakali, Bo Xu, Uzair Aslam Bhatti, Zifeng Wang and Yonghui Zhang and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Mohammad Yahya H. Al-Shamri

17 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Yahya H. Al-Shamri Saudi Arabia 8 371 185 133 101 93 20 513
Fernando Díez Spain 9 347 0.9× 156 0.8× 96 0.7× 50 0.5× 63 0.7× 33 462
Majid Meghdadı Iran 10 340 0.9× 238 1.3× 208 1.6× 39 0.4× 128 1.4× 24 549
Ana Peleteiro Spain 10 281 0.8× 99 0.5× 109 0.8× 125 1.2× 64 0.7× 18 423
Fernando Mourão Brazil 12 256 0.7× 274 1.5× 62 0.5× 60 0.6× 75 0.8× 50 508
Jiahui Liu China 6 365 1.0× 234 1.3× 128 1.0× 57 0.6× 71 0.8× 18 508
Na Mou China 3 528 1.4× 325 1.8× 229 1.7× 43 0.4× 95 1.0× 7 628
Xiaowei Xu China 9 287 0.8× 133 0.7× 121 0.9× 38 0.4× 97 1.0× 39 396
Jesús Bernal Spain 4 594 1.6× 215 1.2× 224 1.7× 108 1.1× 100 1.1× 6 675
Bharat Bhasker India 10 240 0.6× 191 1.0× 58 0.4× 87 0.9× 68 0.7× 40 464

Countries citing papers authored by Mohammad Yahya H. Al-Shamri

Since Specialization
Citations

This map shows the geographic impact of Mohammad Yahya H. Al-Shamri'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 Mohammad Yahya H. Al-Shamri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Yahya H. Al-Shamri more than expected).

Fields of papers citing papers by Mohammad Yahya H. Al-Shamri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Yahya H. Al-Shamri. 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 Mohammad Yahya H. Al-Shamri. The network helps show where Mohammad Yahya H. Al-Shamri may publish in the future.

Co-authorship network of co-authors of Mohammad Yahya H. Al-Shamri

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Yahya H. Al-Shamri. A scholar is included among the top collaborators of Mohammad Yahya H. Al-Shamri 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 Mohammad Yahya H. Al-Shamri. Mohammad Yahya H. Al-Shamri 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.
Mubarakali, Azath, et al.. (2025). Next-generation COVID-19 detection using a metasurface biosensor with machine learning-enhanced refractive index sensing. Scientific Reports. 15(1). 33406–33406. 3 indexed citations
2.
Tang, Hao, Zifeng Wang, Yonghui Zhang, et al.. (2025). A Sustainable Computing-Based Multi-Objective Feeding Scheduling Model for Low-Carbon Factory Aquaculture Using Enhanced NSGA-II in Agricultural Consumer Electronics. IEEE Transactions on Consumer Electronics. 71(2). 6989–7001. 2 indexed citations
3.
Al-Shamri, Mohammad Yahya H., et al.. (2024). Secure image transmission through LTE wireless communications systems. EURASIP Journal on Image and Video Processing. 2024(1).
4.
Al-Shamri, Mohammad Yahya H., et al.. (2024). Efficient smart greenhouse modeling for optimal energy consumption and climate conditions Setting. Computers and Electronics in Agriculture. 229. 109674–109674.
5.
Zhang, Wenjuan, et al.. (2024). A Low-Resolution Video Action Recognition Approach Based on Multi-Scale Reconstruction and Multi-Modal Fusion. IEEE Transactions on Consumer Electronics. 71(1). 970–983.
6.
Al-Shamri, Mohammad Yahya H.. (2023). Rating scale preferences for accurate recommendations. Data & Knowledge Engineering. 145. 102156–102156. 1 indexed citations
7.
Al-kamali, F. S., et al.. (2021). New Image Transmission Schemes for DST-Based MC-CDMA System. Arabian Journal for Science and Engineering. 46(2). 1465–1479. 3 indexed citations
8.
Al-Shamri, Mohammad Yahya H., et al.. (2021). Hybrid Deep‐Learning and Machine‐Learning Models for Predicting COVID‐19. Computational Intelligence and Neuroscience. 2021(1). 9996737–9996737. 30 indexed citations
9.
Al-Shamri, Mohammad Yahya H.. (2021). Similarity modifiers for enhancing the recommender system performance. Applied Intelligence. 52(8). 8534–8550. 5 indexed citations
10.
Nouali, Omar, et al.. (2019). A Multi-criteria Collaborative Filtering Recommender System Using Learning-to-Rank and Rank Aggregation. Arabian Journal for Science and Engineering. 45(4). 2835–2845. 18 indexed citations
11.
Al-Shamri, Mohammad Yahya H., et al.. (2018). Cascaded Feature Selection for Enhancing the Performance of Collaborative Recommender System. Advances in Electrical and Computer Engineering. 18(4). 23–34. 1 indexed citations
12.
Al-Shamri, Mohammad Yahya H., et al.. (2018). Vertical and Horizontal DNA Differential Methylation Analysis for Predicting Breast Cancer. IEEE Access. 6. 53533–53545. 5 indexed citations
13.
Al-Shamri, Mohammad Yahya H.. (2016). Effect of Collaborative Recommender System Parameters: Common Set Cardinality and the Similarity Measure. 2016. 1–10. 6 indexed citations
14.
Al-Shamri, Mohammad Yahya H.. (2016). User profiling approaches for demographic recommender systems. Knowledge-Based Systems. 100. 175–187. 116 indexed citations
15.
Al-Shamri, Mohammad Yahya H.. (2014). Power coefficient as a similarity measure for memory-based collaborative recommender systems. Expert Systems with Applications. 41(13). 5680–5688. 42 indexed citations
16.
Al-Shamri, Mohammad Yahya H., et al.. (2014). Fuzzy-Weighted Similarity Measures for Memory-Based Collaborative Recommender Systems. 6(1). 1–10. 16 indexed citations
17.
Bharadwaj, Kamal K. & Mohammad Yahya H. Al-Shamri. (2008). Fuzzy computational models for trust and reputation systems. Electronic Commerce Research and Applications. 8(1). 37–47. 98 indexed citations
18.
Al-Shamri, Mohammad Yahya H., et al.. (2007). A Hybrid Preference-based Recommender System Based on Fuzzy Concordance / Discordance Principle.. Indian International Conference on Artificial Intelligence. 301–314. 4 indexed citations
19.
Al-Shamri, Mohammad Yahya H. & Kamal K. Bharadwaj. (2007). Fuzzy-genetic approach to recommender systems based on a novel hybrid user model. Expert Systems with Applications. 35(3). 1386–1399. 126 indexed citations
20.
Al-Shamri, Mohammad Yahya H. & Kamal K. Bharadwaj. (2007). A Compact User Model for Hybrid Movie Recommender System. 519–524. 37 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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