Mohammed A. Alhartomi

1.1k total citations · 2 hit papers
40 papers, 645 citations indexed

About

Mohammed A. Alhartomi is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Mohammed A. Alhartomi has authored 40 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 15 papers in Computer Networks and Communications and 8 papers in Artificial Intelligence. Recurrent topics in Mohammed A. Alhartomi's work include Software-Defined Networks and 5G (8 papers), Network Security and Intrusion Detection (7 papers) and Advanced MIMO Systems Optimization (7 papers). Mohammed A. Alhartomi is often cited by papers focused on Software-Defined Networks and 5G (8 papers), Network Security and Intrusion Detection (7 papers) and Advanced MIMO Systems Optimization (7 papers). Mohammed A. Alhartomi collaborates with scholars based in Saudi Arabia, Malaysia and United Kingdom. Mohammed A. Alhartomi's co-authors include Alexey V. Shvetsov, Saeed Hamood Alsamhi, Ammar Hawbani, Santosh Kumar, Lukman Audah‏, Abdu Saif, Navin Singh Rajput, Sumit Srivastava, Vincent Omollo Nyangaresi and Jaafar M. H. Elmirghani and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Mohammed A. Alhartomi

39 papers receiving 603 citations

Hit Papers

UAV Computing-Assisted Search and Rescue Mission Framewor... 2022 2026 2023 2024 2022 2025 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
Mohammed A. Alhartomi Saudi Arabia 13 249 235 195 98 89 40 645
Jiaxin Du China 17 369 1.5× 203 0.9× 97 0.5× 92 0.9× 64 0.7× 33 766
Yueyun Chen China 15 397 1.6× 498 2.1× 185 0.9× 48 0.5× 55 0.6× 118 818
Xiaonan Liu China 13 370 1.5× 540 2.3× 367 1.9× 140 1.4× 71 0.8× 51 972
Fan Jiang China 14 372 1.5× 423 1.8× 118 0.6× 85 0.9× 46 0.5× 91 700
Woongsoo Na South Korea 15 597 2.4× 407 1.7× 290 1.5× 94 1.0× 74 0.8× 64 849
Xingfu Wang China 16 492 2.0× 447 1.9× 96 0.5× 72 0.7× 47 0.5× 100 869
Abubakar Bala Malaysia 10 137 0.6× 119 0.5× 112 0.6× 83 0.8× 89 1.0× 22 460
Sameer Alani Malaysia 16 373 1.5× 502 2.1× 203 1.0× 51 0.5× 83 0.9× 51 827
Justin Patton United States 11 69 0.3× 269 1.1× 159 0.8× 92 0.9× 41 0.5× 30 509
Andrei Vladyko Russia 12 296 1.2× 231 1.0× 80 0.4× 24 0.2× 113 1.3× 65 530

Countries citing papers authored by Mohammed A. Alhartomi

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed A. Alhartomi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammed A. Alhartomi. 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 A. Alhartomi. The network helps show where Mohammed A. Alhartomi may publish in the future.

Co-authorship network of co-authors of Mohammed A. Alhartomi

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed A. Alhartomi. A scholar is included among the top collaborators of Mohammed A. Alhartomi 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 A. Alhartomi. Mohammed A. Alhartomi 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.
Ali, Shahid, et al.. (2025). Wearable and Flexible Sensor Devices: Recent Advances in Designs, Fabrication Methods, and Applications. Sensors. 25(5). 1377–1377. 25 indexed citations breakdown →
2.
Alhartomi, Mohammed A., et al.. (2025). Comprehensive Analysis of DDoS Anomaly Detection in Software-Defined Networks. IEEE Access. 13. 23013–23071. 8 indexed citations
3.
Alhartomi, Mohammed A., et al.. (2025). Deep Reinforcement Learning-Driven Hybrid Precoding for Efficient Mm-Wave Multi-User MIMO Systems. Journal of Sensor and Actuator Networks. 14(1). 20–20. 4 indexed citations
4.
Audah‏, Lukman, et al.. (2025). Artificial intelligence performance evaluation for URLLC of industrial IoT applications: A review, open challenges and future directions. Physical Communication. 72. 102712–102712. 2 indexed citations
5.
Audah‏, Lukman, et al.. (2024). Detecting DDoS Threats Using Supervised Machine Learning for Traffic Classification in Software Defined Networking. IEEE Access. 12. 166675–166702. 15 indexed citations
6.
Audah‏, Lukman, et al.. (2024). Empowering Energy-Sustainable IoT Devices With Harvest Energy-Optimized Deep Neural Networks. IEEE Access. 12. 70600–70614. 2 indexed citations
7.
8.
Alhartomi, Mohammed A., et al.. (2024). Enhancing Sustainable Edge Computing Offloading via Renewable Prediction for Energy Harvesting. IEEE Access. 12. 74011–74023. 8 indexed citations
9.
Alhartomi, Mohammed A., et al.. (2023). Low-Area and Low-Power VLSI Architectures for Long Short-Term Memory Networks. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 13(4). 1000–1014. 7 indexed citations
10.
Alhartomi, Mohammed A., et al.. (2023). Sustainable Resource Allocation and Reduce Latency Based on Federated-Learning-Enabled Digital Twin in IoT Devices. Sensors. 23(16). 7262–7262. 8 indexed citations
11.
El-Hageen, Hazem M., Vishal Sorathiya, Sunil Lavadiya, et al.. (2023). Multilayered gold, MgF2 and tungsten based ultra wide band infrared absorber for solar cell applications. Materials Chemistry and Physics. 301. 127680–127680. 12 indexed citations
12.
Salh, Adeeb, et al.. (2023). Bandwidth allocation of URLLC for real-time packet traffic in B5G: A Deep-RL framework. ICT Express. 10(2). 270–276. 1 indexed citations
13.
Tripathy, Rajesh Kumar, et al.. (2023). Detection of Sleep Apnea From ECG Signals Using Sliding Singular Spectrum Based Subpattern Principal Component Analysis. IEEE Transactions on Artificial Intelligence. 5(6). 2897–2906. 4 indexed citations
14.
El-Hageen, Hazem M., et al.. (2023). Performance Signature of the Best Candidate-Graded Bandgap Materials for Solar Cells with Steady-State Conversion Efficiency. Energies. 16(19). 7001–7001. 6 indexed citations
15.
Enany, Mohamed A., et al.. (2023). Optimal Performance of Photovoltaic-Powered Water Pumping System. Mathematics. 11(3). 731–731. 10 indexed citations
16.
Salh, Adeeb, Lukman Audah‏, Mohammed A. Alhartomi, et al.. (2022). Smart Packet Transmission Scheduling in Cognitive IoT Systems: DDQN Based Approach. IEEE Access. 10. 50023–50036. 25 indexed citations
17.
Salh, Adeeb, Lukman Audah‏, Kwang Soon Kim, et al.. (2022). Refiner GAN Algorithmically Enabled Deep-RL for Guaranteed Traffic Packets in Real-Time URLLC B5G Communication Systems. IEEE Access. 10. 50662–50676. 22 indexed citations
18.
Ngah, Razali, et al.. (2022). Intelligent Resource Management Using Multiagent Double Deep Q-Networks to Guarantee Strict Reliability and Low Latency in IoT Network. IEEE Open Journal of the Communications Society. 3. 2245–2257. 8 indexed citations
19.
Alsamhi, Saeed Hamood, Alexey V. Shvetsov, Santosh Kumar, et al.. (2022). UAV Computing-Assisted Search and Rescue Mission Framework for Disaster and Harsh Environment Mitigation. Drones. 6(7). 154–154. 166 indexed citations breakdown →
20.
Alhartomi, Mohammed A., et al.. (2022). Two Distributed Arithmetic Based High Throughput Architectures of Non-Pipelined LMS Adaptive Filters. IEEE Access. 10. 76693–76706. 13 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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