Mohammad Aljaidi

1.7k total citations · 1 hit paper
133 papers, 857 citations indexed

About

Mohammad Aljaidi is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Mohammad Aljaidi has authored 133 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Electrical and Electronic Engineering, 33 papers in Computer Networks and Communications and 27 papers in Artificial Intelligence. Recurrent topics in Mohammad Aljaidi's work include Network Security and Intrusion Detection (17 papers), Fuel Cells and Related Materials (17 papers) and Advanced Battery Technologies Research (16 papers). Mohammad Aljaidi is often cited by papers focused on Network Security and Intrusion Detection (17 papers), Fuel Cells and Related Materials (17 papers) and Advanced Battery Technologies Research (16 papers). Mohammad Aljaidi collaborates with scholars based in Jordan, Saudi Arabia and India. Mohammad Aljaidi's co-authors include Ghassan Samara, Omprakash Kaiwartya, Ayoub Alsarhan, Raed Alazaidah, Nauman Aslam, Sushil Kumar, Muhammad Khalid, Jaime Lloret, Pradeep Jangir and Sundaram B. Pandya and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Mohammad Aljaidi

105 papers receiving 816 citations

Hit Papers

MORIME: A multi-objective RIME optimization framework for... 2025 2026 2025 10 20 30
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MORIME: A multi-objective RIME optimization framework for efficient truss design
    2025 31 citations Mohammad Aljaidi, Nikunj Mashru et al. Results in Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Aljaidi Jordan 16 333 218 161 147 126 133 857
Khalid Yahya Türkiye 15 291 0.9× 303 1.4× 180 1.1× 231 1.6× 63 0.5× 54 782
Harun Jamil South Korea 15 245 0.7× 198 0.9× 106 0.7× 130 0.9× 59 0.5× 40 589
Sahaya Beni Prathiba India 13 240 0.7× 179 0.8× 190 1.2× 84 0.6× 125 1.0× 53 794
Tarek Berghout Algeria 16 214 0.6× 147 0.7× 189 1.2× 59 0.4× 57 0.5× 66 791
P. Prakasam India 15 323 1.0× 155 0.7× 152 0.9× 74 0.5× 40 0.3× 79 703
Yijie Xun China 13 272 0.8× 285 1.3× 165 1.0× 77 0.5× 103 0.8× 33 629
Pierpaolo Dini Italy 19 342 1.0× 165 0.8× 160 1.0× 28 0.2× 178 1.4× 44 739
Mohib Ullah Khan Pakistan 7 137 0.4× 223 1.0× 236 1.5× 74 0.5× 56 0.4× 11 497
Mingsong Lv China 17 201 0.6× 291 1.3× 115 0.7× 55 0.4× 75 0.6× 62 892
Hyogon Kim South Korea 20 552 1.7× 924 4.2× 348 2.2× 89 0.6× 77 0.6× 114 1.3k

Countries citing papers authored by Mohammad Aljaidi

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Aljaidi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Aljaidi

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Aljaidi. A scholar is included among the top collaborators of Mohammad Aljaidi 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 Mohammad Aljaidi. Mohammad Aljaidi 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.
Aljaidi, Mohammad, et al.. (2025). EEG-Based ADHD Classification Using Autoencoder Feature Extraction and ResNet with Double Augmented Attention Mechanism. Brain Sciences. 15(1). 95–95. 5 indexed citations
2.
Aljaidi, Mohammad, Nikunj Mashru, Pinank Patel, et al.. (2025). MORIME: A multi-objective RIME optimization framework for efficient truss design. Results in Engineering. 25. 103933–103933. 31 indexed citations breakdown →
3.
Gupta, Jyoti, Svetlana Beryozkina, Mohammad Aljaidi, et al.. (2024). Application of hybrid chaotic particle swarm optimization and slime mould algorithm to optimally estimate the parameter of fuel cell and solar PV system. International Journal of Hydrogen Energy. 83. 1003–1023. 9 indexed citations
4.
Singla, Manish Kumar, et al.. (2024). Optimizing proton exchange membrane fuel cell parameter identification using enhanced hummingbird algorithm. International Journal of Hydrogen Energy. 89. 342–352. 3 indexed citations
5.
Aljaidi, Mohammad, Ahmad Nasayreh, Hasan Gharaibeh, et al.. (2024). Enhancing IoT device security: CNN-SVM hybrid approach for real-time detection of DoS and DDoS attacks. Journal of Intelligent Systems. 33(1). 2 indexed citations
6.
Sadiq, Ali Safaa, et al.. (2024). An Intelligent Approach to Automated Operating Systems Log Analysis for Enhanced Security. Information. 15(10). 657–657.
7.
Alsarhan, Ayoub, et al.. (2024). Optimizing Electric Vehicle Charging Infrastructure through Machine Learning: A Study of Charging Patterns and Energy Consumption. International Journal of Interactive Mobile Technologies (iJIM). 18(21). 149–170. 4 indexed citations
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Alsarhan, Ayoub, et al.. (2024). Advancing XSS Detection in IoT over 5G: A Cutting-Edge Artificial Neural Network Approach. SHILAP Revista de lepidopterología. 5(3). 478–508. 17 indexed citations
10.
Said, Mohd Ismid Mohd, et al.. (2024). Comparative analysis of impact of classification algorithms on security and performance bug reports. Journal of Intelligent Systems. 33(1). 1 indexed citations
11.
Aljaidi, Mohammad, et al.. (2024). Optimizing Dielectric Rod Antenna Performance with Spoof Surface Plasmon Polariton-Based Feeding Method. Sensors. 24(23). 7543–7543. 2 indexed citations
12.
Raw, Ram Shringar, et al.. (2024). B-SAFE: Blockchain-Enabled Security Architecture for Connected Vehicle Fog Environment. Sensors. 24(5). 1515–1515. 12 indexed citations
13.
Kaiwartya, Omprakash, Mohammad Aljaidi, Yue Cao, et al.. (2024). Cyber security analysis of connected vehicles. IET Intelligent Transport Systems. 18(7). 1175–1195. 3 indexed citations
14.
Alsarhan, Ayoub, et al.. (2023). PLUG: A City-Friendly Navigation Model for Electric Vehicles with Power Load Balancing upon the Grid. World Electric Vehicle Journal. 14(12). 338–338. 5 indexed citations
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16.
Alazaidah, Raed, et al.. (2023). Potential of Machine Learning for Predicting Sleep Disorders: A Comprehensive Analysis of Regression and Classification Models. Diagnostics. 14(1). 27–27. 14 indexed citations
17.
Aljaidi, Mohammad, et al.. (2023). Towards Advancing Distributed Data Mining: Intelligent Agent Systems. 1–5. 4 indexed citations
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20.
Aljaidi, Mohammad, et al.. (2023). Feature Selection for Robust Spoofing Detection: A Chi-Square-based Machine Learning Approach. 1–7. 4 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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