Ahlam Almusharraf

872 total citations
44 papers, 388 citations indexed

About

Ahlam Almusharraf is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ahlam Almusharraf has authored 44 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ahlam Almusharraf's work include Brain Tumor Detection and Classification (6 papers), IoT and Edge/Fog Computing (4 papers) and Smart Agriculture and AI (4 papers). Ahlam Almusharraf is often cited by papers focused on Brain Tumor Detection and Classification (6 papers), IoT and Edge/Fog Computing (4 papers) and Smart Agriculture and AI (4 papers). Ahlam Almusharraf collaborates with scholars based in Saudi Arabia, India and United Kingdom. Ahlam Almusharraf's co-authors include Surbhi Bhatia, Razaz Waheeb Attar, T R Mahesh, Gurpreet Dhillon, Nick Hajli, V. Vinoth Kumar, Adarsh Kumar, Nazrul Islam, Amandeep Dhir and Puneet Kaur and has published in prestigious journals such as Journal of Business Research, IEEE Access and Sensors.

In The Last Decade

Ahlam Almusharraf

34 papers receiving 360 citations

Peers

Ahlam Almusharraf
Hanane Allioui Morocco
Wael M. S. Yafooz Saudi Arabia
Faheem Ahmad Reegu Saudi Arabia
Husam Jasim Mohammed Iraq
Ruchi Doshi India
Ali Athar South Korea
Saravanakumar Kandasamy India
Jitendra Kumar Rout India
Muhammed Yousoof Ismail Oman
Shazia Saqib Pakistan
Hanane Allioui Morocco
Ahlam Almusharraf
Citations per year, relative to Ahlam Almusharraf Ahlam Almusharraf (= 1×) peers Hanane Allioui

Countries citing papers authored by Ahlam Almusharraf

Since Specialization
Citations

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

Fields of papers citing papers by Ahlam Almusharraf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahlam Almusharraf

This figure shows the co-authorship network connecting the top 25 collaborators of Ahlam Almusharraf. A scholar is included among the top collaborators of Ahlam Almusharraf 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 Ahlam Almusharraf. Ahlam Almusharraf 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.
Bilal, Hazrat, Sushil Kumar Singh, Abdullah M. Alnajim, et al.. (2025). Optimized Attention Assisted Network for Forensic-Aware Malware Detection in Consumer Electronics. IEEE Transactions on Consumer Electronics. 71(4). 11113–11120.
2.
Almusharraf, Ahlam. (2025). Automation and Its Influence on Sustainable Development: Economic, Social, and Environmental Dimensions. Sustainability. 17(4). 1754–1754. 4 indexed citations
3.
Sharma, Poonam, Bhisham Sharma, Dhirendra Prasad Yadav, Surbhi Bhatia, & Ahlam Almusharraf. (2025). Leveraging Edge Optimize Vision Transformer for Monkeypox Lesion Diagnosis on Mobile Devices. Computers, materials & continua/Computers, materials & continua (Print). 83(2). 3227–3245.
4.
5.
Mahesh, T R, et al.. (2024). Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor. BMC Medical Imaging. 24(1). 28 indexed citations
6.
Bebortta, Sujit, et al.. (2024). TinyDeepUAV: A Tiny Deep Reinforcement Learning Framework for UAV Task Offloading in Edge-Based Consumer Electronics. IEEE Transactions on Consumer Electronics. 70(4). 7357–7364. 7 indexed citations
7.
Mahesh, T R, Surbhi Bhatia, Palaiahnakote Shivakumara, et al.. (2024). An Adaptive Xception Model for Classification of Brain Tumors. International Journal of Pattern Recognition and Artificial Intelligence. 38(8). 2 indexed citations
8.
Ahmed, Syed Thouheed, R. Sivakami, V. Vinoth Kumar, et al.. (2024). PrEGAN: Privacy-Enhanced Clinical EMR Generation: Leveraging GAN Model for Customer De-Identification. IEEE Transactions on Consumer Electronics. 70(3). 6166–6173. 5 indexed citations
9.
10.
Ahmed, Syed Thouheed, R. Sivakami, Surbhi Bhatia, et al.. (2024). Federated Learning Framework for Consumer IoMT-Edge Resource Recommendation Under Telemedicine Services. IEEE Transactions on Consumer Electronics. 71(1). 252–259.
11.
Attar, Razaz Waheeb, et al.. (2024). Exploring the impact of smart cities on improving the quality of life for people with disabilities in Saudi Arabia. Frontiers in Built Environment. 10. 11 indexed citations
12.
Bhatia, Surbhi, et al.. (2023). Load Balancing Using Artificial Intelligence for Cloud-Enabled Internet of Everything in Healthcare Domain. Sensors. 23(11). 5349–5349. 15 indexed citations
13.
Chatterjee, Subarna, et al.. (2023). Fusion of Graph and Tabular Deep Learning Models for Predicting Chronic Kidney Disease. Diagnostics. 13(12). 1981–1981. 10 indexed citations
14.
Salehi, Ahmad Waleed, Preety Baglat, Gaurav Gupta, et al.. (2023). An Approach to Binary Classification of Alzheimer’s Disease Using LSTM. Bioengineering. 10(8). 950–950. 13 indexed citations
15.
Chatterjee, Subarna, et al.. (2023). Optimizing Inference Distribution for Efficient Kidney Tumor Segmentation Using a UNet-PWP Deep-Learning Model with XAI on CT Scan Images. Diagnostics. 13(20). 3244–3244. 4 indexed citations
16.
Narayanan, Manikandan, Gayathri Ananthakrishnan, M. K. Nallakaruppan, et al.. (2023). A Cluster-Based Energy-Efficient Secure Optimal Path-Routing Protocol for Wireless Body-Area Sensor Networks. Sensors. 23(14). 6274–6274. 19 indexed citations
17.
Bhatia, Surbhi, et al.. (2023). Design and Development of IoT and Deep Ensemble Learning Based Model for Disease Monitoring and Prediction. Diagnostics. 13(11). 1942–1942. 9 indexed citations
18.
Ramakrishna, Mahesh Thyluru, et al.. (2023). Cancer Diagnosis through Contour Visualization of Gene Expression Leveraging Deep Learning Techniques. Diagnostics. 13(22). 3452–3452. 4 indexed citations
19.
Attar, Razaz Waheeb, et al.. (2022). New Trends in E-Commerce Research: Linking Social Commerce and Sharing Commerce: A Systematic Literature Review. Sustainability. 14(23). 16024–16024. 44 indexed citations
20.
Almusharraf, Ahlam, et al.. (2015). Mismatched Understanding of IS Security Policy: A RepGrid Analysis. Journal of the Association for Information Systems. 1 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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