Mohammed Al-Sarem

2.6k total citations
75 papers, 1.5k citations indexed

About

Mohammed Al-Sarem is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Mohammed Al-Sarem has authored 75 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 24 papers in Information Systems and 11 papers in Sociology and Political Science. Recurrent topics in Mohammed Al-Sarem's work include Spam and Phishing Detection (18 papers), Network Security and Intrusion Detection (9 papers) and Misinformation and Its Impacts (9 papers). Mohammed Al-Sarem is often cited by papers focused on Spam and Phishing Detection (18 papers), Network Security and Intrusion Detection (9 papers) and Misinformation and Its Impacts (9 papers). Mohammed Al-Sarem collaborates with scholars based in Saudi Arabia, Yemen and United Kingdom. Mohammed Al-Sarem's co-authors include Faisal Saeed, Wadii Boulila, Abdullah Alsaeedi, Mohamed Kissi, Abdellah Madani, Fuad A. Ghaleb, Mohammed Hadwan, Tawfik Al-Hadhrami, Abdel-Hamid M. Emara and Fahad Ghabban and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Mohammed Al-Sarem

67 papers receiving 1.4k 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 Al-Sarem Saudi Arabia 24 639 365 266 209 181 75 1.5k
Jaiteg Singh India 22 319 0.5× 331 0.9× 308 1.2× 240 1.1× 153 0.8× 155 1.5k
M. F. Mridha Bangladesh 27 1.1k 1.7× 302 0.8× 140 0.5× 237 1.1× 413 2.3× 243 2.7k
Weitong Chen Australia 16 667 1.0× 388 1.1× 104 0.4× 100 0.5× 137 0.8× 53 1.3k
Paul Rad United States 22 480 0.8× 327 0.9× 526 2.0× 311 1.5× 373 2.1× 67 1.7k
Teddy Mantoro Indonesia 17 406 0.6× 253 0.7× 225 0.8× 136 0.7× 349 1.9× 202 1.2k
Roberto Muñoz Chile 19 380 0.6× 254 0.7× 404 1.5× 185 0.9× 157 0.9× 89 1.4k
Mohammed F. Alhamid Saudi Arabia 26 508 0.8× 675 1.8× 779 2.9× 185 0.9× 521 2.9× 66 2.1k
Naphtali Rishe United States 19 392 0.6× 166 0.5× 264 1.0× 319 1.5× 189 1.0× 144 1.5k
Henry Friday Nweke Nigeria 16 858 1.3× 193 0.5× 296 1.1× 247 1.2× 738 4.1× 24 2.0k
Salem Alelyani Saudi Arabia 18 743 1.2× 248 0.7× 155 0.6× 83 0.4× 272 1.5× 35 1.7k

Countries citing papers authored by Mohammed Al-Sarem

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Al-Sarem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Al-Sarem

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Al-Sarem. A scholar is included among the top collaborators of Mohammed Al-Sarem 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 Al-Sarem. Mohammed Al-Sarem 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.
Aborujilah, Abdulaziz, et al.. (2025). Forecast-Driven Climate Control for Smart Greenhouses: Energy Optimization Using LSTM Model. Energies. 18(21). 5821–5821. 1 indexed citations
2.
Nasser, Maged, et al.. (2024). Topic-aware neural attention network for malicious social media spam detection. Alexandria Engineering Journal. 111. 540–554. 1 indexed citations
3.
Al-Sarem, Mohammed, et al.. (2024). Contribution to historical manuscript dating: A hybrid approach employing hand-crafted features with vision transformers. Digital Signal Processing. 149. 104477–104477. 4 indexed citations
4.
5.
Derdour, Makhlouf, Rawad Abdulghafor, Sherzod Turaev, et al.. (2024). Federated Learning with Privacy Preserving for Multi- Institutional Three-Dimensional Brain Tumor Segmentation. Diagnostics. 14(24). 2891–2891. 8 indexed citations
6.
Al-Hadhrami, Tawfik, et al.. (2024). SENSES-ASD: a social-emotional nurturing and skill enhancement system for autism spectrum disorder. PeerJ Computer Science. 10. e1792–e1792.
7.
Ahmed, Saadaldeen Rashid, et al.. (2024). Machine Learning Approaches for Botnet Detection in Network Traffic. 310–315.
8.
Aborujilah, Abdulaziz, et al.. (2024). From Binary to Multi-Class Classification: A Two-Step Hybrid CNN-ViT Model for Chest Disease Classification Based on X-Ray Images. Diagnostics. 14(23). 2754–2754. 8 indexed citations
9.
Brahmi, Zaki, et al.. (2024). Exploring the Role of Machine Learning in Diagnosing and Treating Speech Disorders: A Systematic Literature Review. Psychology Research and Behavior Management. Volume 17. 2205–2232. 9 indexed citations
10.
Cherradi, Bouchaib, Oussama El Gannour, Wamda Nagmeldin, et al.. (2023). A Novel Explainable CNN Model for Screening COVID-19 on X-ray Images. Computer Systems Science and Engineering. 46(2). 1789–1809. 2 indexed citations
11.
12.
Al‐rimy, Bander Ali Saleh, Faisal Saeed, Mohammed Al-Sarem, Abdullah M. Albarrak, & Sultan Noman Qasem. (2023). An Adaptive Early Stopping Technique for DenseNet169-Based Knee Osteoarthritis Detection Model. Diagnostics. 13(11). 1903–1903. 10 indexed citations
13.
Ghaleb, Fuad A., Faisal Saeed, Mohammed Al-Sarem, Sultan Noman Qasem, & Tawfik Al-Hadhrami. (2023). Ensemble Synthesized Minority Oversampling-Based Generative Adversarial Networks and Random Forest Algorithm for Credit Card Fraud Detection. IEEE Access. 11. 89694–89710. 27 indexed citations
14.
Al-Sarem, Mohammed, et al.. (2022). Feature Selection Using a Genetic Algorithms and Fuzzy logic in Anti-Human Immunodeficiency Virus Prediction for Drug Discovery. SHILAP Revista de lepidopterología. 2 indexed citations
15.
16.
Hadwan, Mohammed, Mohammed Al-Sarem, Faisal Saeed, & Mohammed Abdullah Al-Hagery. (2022). An Improved Sentiment Classification Approach for Measuring User Satisfaction toward Governmental Services’ Mobile Apps Using Machine Learning Methods with Feature Engineering and SMOTE Technique. Applied Sciences. 12(11). 5547–5547. 25 indexed citations
17.
Hadwan, Mohammed, Mohammed Abdullah Al-Hagery, Mohammed Al-Sarem, & Faisal Saeed. (2022). Arabic Sentiment Analysis of Users’ Opinions of Governmental Mobile Applications. Computers, materials & continua/Computers, materials & continua (Print). 72(3). 4675–4689. 36 indexed citations
18.
Al-Sarem, Mohammed, Faisal Saeed, Zeyad Ghaleb Al-Mekhlafi, et al.. (2021). An Optimized Stacking Ensemble Model for Phishing Websites Detection. Electronics. 10(11). 1285–1285. 47 indexed citations
19.
Al-Sarem, Mohammed, Faisal Saeed, Zeyad Ghaleb Al-Mekhlafi, et al.. (2021). An Improved Multiple Features and Machine Learning-Based Approach for Detecting Clickbait News on Social Networks. Applied Sciences. 11(20). 9487–9487. 15 indexed citations
20.
Al-Sarem, Mohammed, Faisal Saeed, Abdullah Alsaeedi, Wadii Boulila, & Tawfik Al-Hadhrami. (2020). Ensemble Methods for Instance-Based Arabic Language Authorship Attribution. IEEE Access. 8. 17331–17345. 34 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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