Hosam Alhakami

2.1k total citations
67 papers, 1.5k citations indexed

About

Hosam Alhakami is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Hosam Alhakami has authored 67 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Information Systems, 21 papers in Artificial Intelligence and 19 papers in Computer Networks and Communications. Recurrent topics in Hosam Alhakami's work include Information and Cyber Security (9 papers), COVID-19 diagnosis using AI (6 papers) and UAV Applications and Optimization (5 papers). Hosam Alhakami is often cited by papers focused on Information and Cyber Security (9 papers), COVID-19 diagnosis using AI (6 papers) and UAV Applications and Optimization (5 papers). Hosam Alhakami collaborates with scholars based in Saudi Arabia, India and Pakistan. Hosam Alhakami's co-authors include Abdullah Baz, Wajdi Alhakami, Raees Ahmad Khan, Alka Agrawal, Rajeev Kumar, Tahani Alsubait, Musheer Ahmad, Mohammed Atiquzzaman, Salama A. Mostafa and Omar Sami Oubbati and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Hosam Alhakami

62 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
Hosam Alhakami Saudi Arabia 21 473 428 415 214 156 67 1.5k
Wajdi Alhakami Saudi Arabia 19 400 0.8× 416 1.0× 313 0.8× 212 1.0× 163 1.0× 53 1.2k
Abdullah Baz Saudi Arabia 24 361 0.8× 463 1.1× 404 1.0× 382 1.8× 173 1.1× 90 1.6k
Asif Irshad Khan Saudi Arabia 21 417 0.9× 489 1.1× 417 1.0× 198 0.9× 96 0.6× 89 1.6k
Srikanta Patnaik India 19 439 0.9× 420 1.0× 388 0.9× 181 0.8× 186 1.2× 187 1.5k
Mubarak Alrashoud Saudi Arabia 19 481 1.0× 380 0.9× 245 0.6× 195 0.9× 107 0.7× 67 1.2k
Saqib Hakak Canada 15 397 0.8× 312 0.7× 462 1.1× 131 0.6× 175 1.1× 21 1.4k
Korhan Cengiz Türkiye 22 485 1.0× 695 1.6× 266 0.6× 638 3.0× 177 1.1× 119 2.0k
Hissam Tawfik United Kingdom 20 340 0.7× 517 1.2× 304 0.7× 289 1.4× 239 1.5× 106 1.6k
Yasser D. Al‐Otaibi Saudi Arabia 20 331 0.7× 532 1.2× 367 0.9× 427 2.0× 118 0.8× 57 1.4k
Sunder Ali Khowaja Pakistan 23 422 0.9× 341 0.8× 210 0.5× 303 1.4× 257 1.6× 77 1.3k

Countries citing papers authored by Hosam Alhakami

Since Specialization
Citations

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

Fields of papers citing papers by Hosam Alhakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hosam Alhakami

This figure shows the co-authorship network connecting the top 25 collaborators of Hosam Alhakami. A scholar is included among the top collaborators of Hosam Alhakami 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 Hosam Alhakami. Hosam Alhakami 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.
Alsubait, Tahani, et al.. (2025). Enhancing Crowd Safety at Hajj: Real-Time Detection of Abnormal Behavior Using YOLOv9. IEEE Access. 13. 37748–37761.
2.
3.
Alsubait, Tahani, et al.. (2024). Evaluation of machine learning-based regression techniques for prediction of diabetes levels fluctuations. Heliyon. 11(1). e41199–e41199. 3 indexed citations
4.
Khan, Muhammad Asghar, Hosam Alhakami, Insaf Ullah, et al.. (2023). A Resource-Friendly Certificateless Proxy Signcryption Scheme for Drones in Networks beyond 5G. Drones. 7(5). 321–321. 1 indexed citations
5.
Khan, Muhammad Asghar, Hosam Alhakami, Wajdi Alhakami, Alexey V. Shvetsov, & Insaf Ullah. (2023). A Smart Card-Based Two-Factor Mutual Authentication Scheme for Efficient Deployment of an IoT-Based Telecare Medical Information System. Sensors. 23(12). 5419–5419. 18 indexed citations
6.
Alhakami, Hosam, et al.. (2023). A Framework for Securing Saudi Arabian Hospital Industry: Vision-2030 Perspective. Intelligent Automation & Soft Computing. 36(3). 2773–2786. 3 indexed citations
7.
Omar, Mawloud, Abdullah Baz, Hosam Alhakami, & Wajdi Alhakami. (2023). Reliable and Secure X2V Energy Trading Framework for Highly Dynamic Connected Electric Vehicles. IEEE Transactions on Vehicular Technology. 72(7). 8526–8540. 4 indexed citations
8.
9.
Alhakami, Hosam, Naveed Ahmad Khan, Muhammad Sulaiman, Wajdi Alhakami, & Abdullah Baz. (2022). On the Computational Study of a Fully Wetted Longitudinal Porous Heat Exchanger Using a Machine Learning Approach. Entropy. 24(9). 1280–1280. 9 indexed citations
10.
Mahmoud, Korany R., Abdullah Baz, Wajdi Alhakami, Hosam Alhakami, & Ahmed M. Montaser. (2021). THE PERFORMANCE OF CIRCULARLY POLARIZED PHASED SUB-ARRAY ANTENNAS FOR 5G LAPTOP DEVICES INVESTIGATING THE RADIATION EFFECTS. Progress In Electromagnetics Research C. 110. 267–283. 6 indexed citations
11.
Audah‏, Lukman, Salama A. Mostafa, Saraswathy Shamini Gunasekaran, et al.. (2020). A New SLM-UFMC Model for Universal Filtered Multi-Carrier to Reduce Cubic Metric and Peak to Average Power Ratio in 5G Technology. Symmetry. 12(6). 909–909. 14 indexed citations
12.
Mohammed, Mazin Abed, Karrar Hameed Abdulkareem, Salama A. Mostafa, et al.. (2020). Voice Pathology Detection and Classification Using Convolutional Neural Network Model. Applied Sciences. 10(11). 3723–3723. 146 indexed citations
13.
Mohammed, Mazin Abed, Karrar Hameed Abdulkareem, Alaa S. Al‐Waisy, et al.. (2020). Benchmarking Methodology for Selection of Optimal COVID-19 Diagnostic Model Based on Entropy and TOPSIS Methods. IEEE Access. 8. 99115–99131. 149 indexed citations
14.
Alhakami, Hosam, et al.. (2020). A Comparison of EDM Tools and Techniques. International Journal of Advanced Computer Science and Applications. 11(12). 5 indexed citations
15.
Baz, Abdullah, et al.. (2020). A Framework of Computational Model for Predicting the Spread of COVID-19 Pandemic in Saudi Arabia. International journal of intelligent engineering and systems. 13(5). 463–475. 12 indexed citations
16.
Alhakami, Hosam, et al.. (2020). Data Mining for Student Advising. International Journal of Advanced Computer Science and Applications. 11(3). 5 indexed citations
17.
Alsubait, Tahani, et al.. (2020). A Review of Optimization Algorithms for University Timetable Scheduling. SHILAP Revista de lepidopterología. 10(6). 6410–6417. 20 indexed citations
18.
Junaid, Muhammad, et al.. (2020). A Hybrid Model for Load Balancing in Cloud Using File Type Formatting. IEEE Access. 8. 118135–118155. 41 indexed citations
19.
Agrawal, Alka, Abhishek Pandey, Abdullah Baz, et al.. (2020). Evaluating the Security Impact of Healthcare Web Applications Through Fuzzy Based Hybrid Approach of Multi-Criteria Decision-Making Analysis. IEEE Access. 8. 135770–135783. 27 indexed citations
20.
Alhakami, Hosam, Feng Chen, & Helge Janicke. (2014). An Extended Stable Marriage Problem Algorithm for Clone Detection. International Journal of Software Engineering & Applications. 5(4). 103–122.

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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