Muna Al‐Razgan

3.6k total citations · 2 hit papers
92 papers, 1.9k citations indexed

About

Muna Al‐Razgan is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Muna Al‐Razgan has authored 92 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 29 papers in Information Systems and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Muna Al‐Razgan's work include Mobile Learning in Education (6 papers), Advanced Neural Network Applications (5 papers) and Network Security and Intrusion Detection (4 papers). Muna Al‐Razgan is often cited by papers focused on Mobile Learning in Education (6 papers), Advanced Neural Network Applications (5 papers) and Network Security and Intrusion Detection (4 papers). Muna Al‐Razgan collaborates with scholars based in Saudi Arabia, China and Pakistan. Muna Al‐Razgan's co-authors include Carlotta Domeniconi, Yasser A. Ali, Emad Mahrous Awwad, Taha Alfakih, Sheng Ma, Dimitris Papadopoulos, Dimitrios Gunopulos, Hend S. Al‐Khalifa, Shurug Al-Khalifa and Muaadh A. Alsoufi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Muna Al‐Razgan

83 papers receiving 1.8k citations

Hit Papers

Hyperparameter Search for Machine Learning Algorithms for... 2022 2026 2023 2024 2023 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muna Al‐Razgan Saudi Arabia 21 720 350 317 224 156 92 1.9k
Francesco Colace Italy 23 616 0.9× 334 1.0× 447 1.4× 173 0.8× 213 1.4× 152 1.5k
Raheel Nawaz United Kingdom 29 1.1k 1.5× 363 1.0× 453 1.4× 342 1.5× 317 2.0× 161 2.9k
Nataša Milić-Frayling United Kingdom 20 812 1.1× 359 1.0× 618 1.9× 426 1.9× 133 0.9× 82 2.1k
Ali Shariq Imran Norway 25 1.1k 1.5× 558 1.6× 321 1.0× 318 1.4× 137 0.9× 115 2.3k
Ioannis Hatzilygeroudis Greece 21 872 1.2× 168 0.5× 343 1.1× 250 1.1× 71 0.5× 142 1.6k
Paulo Nováis Portugal 24 720 1.0× 468 1.3× 269 0.8× 104 0.5× 246 1.6× 268 2.4k
Qing Chen China 22 484 0.7× 669 1.9× 132 0.4× 261 1.2× 145 0.9× 89 1.8k
Efstratios Kontopoulos Greece 13 706 1.0× 156 0.4× 456 1.4× 89 0.4× 185 1.2× 47 1.5k
Andreas Nürnberger Germany 23 1.3k 1.8× 531 1.5× 674 2.1× 62 0.3× 87 0.6× 176 2.5k
Boyang Li China 22 934 1.3× 529 1.5× 285 0.9× 157 0.7× 172 1.1× 165 2.0k

Countries citing papers authored by Muna Al‐Razgan

Since Specialization
Citations

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

Fields of papers citing papers by Muna Al‐Razgan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muna Al‐Razgan. 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 Muna Al‐Razgan. The network helps show where Muna Al‐Razgan may publish in the future.

Co-authorship network of co-authors of Muna Al‐Razgan

This figure shows the co-authorship network connecting the top 25 collaborators of Muna Al‐Razgan. A scholar is included among the top collaborators of Muna Al‐Razgan 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 Muna Al‐Razgan. Muna Al‐Razgan 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.
Alzubi, Jafar A., et al.. (2025). Enhancing IoT Network Security by Anomaly Detection and Intrusion Prevention Using Gannet Optimization-Based Adaptive Deep Capsule Network. International Journal of Computational Intelligence Systems. 18(1).
2.
Emam, Ahmed, et al.. (2025). Advancements in photovoltaic technology: A comprehensive review of recent advances and future prospects. Energy Conversion and Management X. 26. 100952–100952. 18 indexed citations
3.
Arunachalam, Rajesh, et al.. (2025). An intellectual autism spectrum disorder classification framework in healthcare industry using ViT-based adaptive deep learning model. Biomedical Signal Processing and Control. 106. 107737–107737. 4 indexed citations
5.
Zakariah, Mohammed, Muna Al‐Razgan, & Taha Alfakih. (2024). Pathological voice classification using MEEL features and SVM-TabNet model. Speech Communication. 162. 103100–103100. 4 indexed citations
6.
Zhang, Chengping, Muhammad Aamir, Yurong Guan, et al.. (2024). Enhancing lung cancer diagnosis with data fusion and mobile edge computing using DenseNet and CNN. Journal of Cloud Computing Advances Systems and Applications. 13(1). 12 indexed citations
7.
Hassan, Qusay, Sameer Algburi, Marek Jaszczur, et al.. (2024). Adapting German energy transition rules for Iraq through industry, flexibility, and demand management. Futures. 161. 103411–103411. 12 indexed citations
8.
Liu, Zehua, Jiuhao Li, Syam M.S., et al.. (2024). Remote sensing-enhanced transfer learning approach for agricultural damage and change detection: A deep learning perspective. Big Data Research. 36. 100449–100449. 11 indexed citations
9.
Anwar, Zeeshan, Hammad Afzal, Taher Al‐Shehari, et al.. (2024). Mining the Opinions of Software Developers for Improved Project Insights: Harnessing the Power of Transfer Learning. IEEE Access. 12. 65942–65955. 2 indexed citations
10.
Amer, Ali A., et al.. (2024). Neighboring-Aware Hierarchical Clustering. International Journal on Semantic Web and Information Systems. 20(1). 1–24. 3 indexed citations
11.
Al‐Shehari, Taher, Domenico Rosaci, Muna Al‐Razgan, et al.. (2024). Enhancing Insider Threat Detection in Imbalanced Cybersecurity Settings Using the Density-Based Local Outlier Factor Algorithm. IEEE Access. 12. 34820–34834. 10 indexed citations
12.
Han, Huimin, Zeeshan Zeeshan, Bandeh Ali Talpur, et al.. (2024). Studying long term relationship between carbon Emissions, Soil, and climate Change: Insights from a global Earth modeling Framework. International Journal of Applied Earth Observation and Geoinformation. 130. 103902–103902. 18 indexed citations
13.
Hassan, Md. Mehedi, et al.. (2024). TumorGANet: A Transfer Learning and Generative Adversarial Network- Based Data Augmentation Model for Brain Tumor Classification. IEEE Access. 12. 103060–103081. 12 indexed citations
14.
Ahmad, Sayed Fayaz, et al.. (2023). Impact of Digitalization on Process Optimization and Decision-Making towards Sustainability: The Moderating Role of Environmental Regulation. Sustainability. 15(20). 15156–15156. 28 indexed citations
16.
Afzal, Hammad, Taher Al‐Shehari, Muna Al‐Razgan, et al.. (2023). Detection and Classification of Temporal Changes for Citrus Canker Growth Rate Using Deep Learning. IEEE Access. 11. 127637–127650. 5 indexed citations
17.
Al‐Shehari, Taher, Muna Al‐Razgan, Taha Alfakih, Rakan A. Alsowail, & Saravanan Pandiaraj. (2023). Insider Threat Detection Model Using Anomaly-Based Isolation Forest Algorithm. IEEE Access. 11. 118170–118185. 7 indexed citations
18.
Ali, Yasser A., et al.. (2023). Hyperparameter Search for Machine Learning Algorithms for Optimizing the Computational Complexity. Processes. 11(2). 349–349. 163 indexed citations breakdown →
19.
Al‐Razgan, Muna, et al.. (2022). A Serendipity-Oriented Personalized Trip Recommendation Model. Electronics. 11(10). 1660–1660. 6 indexed citations
20.
Al‐Razgan, Muna, et al.. (2021). Automatic Speech Recognition: Systematic Literature Review. IEEE Access. 9. 131858–131876. 69 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026