Mohammad Sh. Daoud

1.2k total citations
63 papers, 592 citations indexed

About

Mohammad Sh. Daoud is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Mohammad Sh. Daoud has authored 63 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 16 papers in Computer Networks and Communications and 10 papers in Information Systems. Recurrent topics in Mohammad Sh. Daoud's work include Metaheuristic Optimization Algorithms Research (8 papers), Network Security and Intrusion Detection (4 papers) and Evolutionary Algorithms and Applications (4 papers). Mohammad Sh. Daoud is often cited by papers focused on Metaheuristic Optimization Algorithms Research (8 papers), Network Security and Intrusion Detection (4 papers) and Evolutionary Algorithms and Applications (4 papers). Mohammad Sh. Daoud collaborates with scholars based in United Arab Emirates, Jordan and Saudi Arabia. Mohammad Sh. Daoud's co-authors include Laith Abualigah, Mohammad Shehab, Munir Ahmad, Sagheer Abbas, Hazem Migdady, Mohd Khaled Yousef Shambour, Raed Abu Zitar, Muhammad Adnan Khan, Tahir Abbas Khan and Maryam Altalhi and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Mohammad Sh. Daoud

54 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Sh. Daoud United Arab Emirates 15 198 110 96 89 60 63 592
Samah Alshathri Saudi Arabia 17 255 1.3× 118 1.1× 121 1.3× 161 1.8× 42 0.7× 57 715
Md. Sakib Bin Alam Bangladesh 8 194 1.0× 65 0.6× 113 1.2× 73 0.8× 46 0.8× 20 731
Gaspard Harerimana South Korea 6 341 1.7× 89 0.8× 129 1.3× 127 1.4× 66 1.1× 7 776
Muddasar Naeem Italy 12 221 1.1× 59 0.5× 91 0.9× 83 0.9× 37 0.6× 27 598
Zhenyun Deng China 8 312 1.6× 90 0.8× 74 0.8× 57 0.6× 34 0.6× 17 707
Raed Alsini Saudi Arabia 14 302 1.5× 40 0.4× 166 1.7× 63 0.7× 69 1.1× 61 659
Debahuti Mishra India 15 236 1.2× 66 0.6× 31 0.3× 98 1.1× 39 0.7× 71 693
Mahmoud Ahmad Al‐Khasawneh Saudi Arabia 16 208 1.1× 126 1.1× 143 1.5× 114 1.3× 34 0.6× 70 681
Dian Palupi Rini Indonesia 10 279 1.4× 127 1.2× 76 0.8× 174 2.0× 131 2.2× 77 777
Khalid Almohammadi Saudi Arabia 9 203 1.0× 70 0.6× 44 0.5× 112 1.3× 57 0.9× 23 648

Countries citing papers authored by Mohammad Sh. Daoud

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Sh. Daoud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Sh. Daoud

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Sh. Daoud. A scholar is included among the top collaborators of Mohammad Sh. Daoud 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 Sh. Daoud. Mohammad Sh. Daoud 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.
Iliyasu, Abdullah M., Mohammad Sh. Daoud, Ahmed S. Salama, John William Grimaldo Guerrero, & Kaoru Hirota. (2025). Towards an intelligent integrated methodology for accurate determination of volume percentages in three-phase flow systems. Scientific Reports. 15(1). 8407–8407.
2.
Thanh, Hung Vo, Hemeng Zhang, Xiaoying Liu, et al.. (2024). Advanced machine learning schemes for prediction CO2 flux based experimental approach in underground coal fire areas. Journal of Advanced Research. 70. 587–601. 5 indexed citations
3.
Mughaid, Ala, et al.. (2024). Intelligent cybersecurity approach for data protection in cloud computing based Internet of Things. International Journal of Information Security. 23(3). 2123–2137. 14 indexed citations
4.
Shehab, Mohammad, et al.. (2024). Nature-Inspired Metaheuristic Algorithms: A Comprehensive Review. The International Arab Journal of Information Technology. 21(5). 5 indexed citations
5.
Abualigah, Laith, Ahmad MohdAziz Hussein, Raed Abu Zitar, et al.. (2024). GIJA:Enhanced geyser‐inspired Jaya algorithm for task scheduling optimization in cloud computing. Transactions on Emerging Telecommunications Technologies. 35(7). 1 indexed citations
6.
Liu, Shuli, Xiaobo Wang, Mohammad Sh. Daoud, et al.. (2024). Efficient low-cost design for high-frequency, accurate hardware implementation of cardiac Purkinje fiber cells for biomedical engineering approaches. Engineering Science and Technology an International Journal. 60. 101888–101888. 2 indexed citations
7.
Abualigah, Laith, et al.. (2024). Correction: Boosted Aquila Arithmetic Optimization Algorithm for multi-level thresholding image segmentation. Evolving Systems. 15(4). 1427–1427.
8.
Fezari, Mohamed, et al.. (2024). Revolutionizing Space: The Potential of Artificial Intelligence. 12. 404–414. 2 indexed citations
9.
Al-Aqrabi, Hussain, et al.. (2024). Dynamic authentication for intelligent sensor clouds in the Internet of Things. International Journal of Information Security. 23(3). 2003–2021. 2 indexed citations
10.
Shehab, Mohammad, et al.. (2024). A survey and recent advances in black widow optimization: variants and applications. Neural Computing and Applications. 37(35-36). 29113–29133. 8 indexed citations
11.
Raza, Ali, et al.. (2024). A Novel Deep Learning Approach for Forecasting Myocardial Infarction Occurrences with Time Series Patient Data. Journal of Medical Systems. 48(1). 53–53. 8 indexed citations
12.
Abualigah, Laith, et al.. (2024). Fake news detection using recurrent neural network based on bidirectional LSTM and GloVe. Social Network Analysis and Mining. 14(1). 34 indexed citations
13.
Hamad, Husam Ahmed Al, Mohammad Shehab, Mohd Khaled Yousef Shambour, et al.. (2024). Handwritten Recognition Techniques: A Comprehensive Review. Symmetry. 16(6). 681–681. 5 indexed citations
14.
Mayet, Abdulilah Mohammad, et al.. (2023). An artificial neural network and a combined capacitive sensor for measuring the void fraction independent of temperature and pressure changes for a two-phase homogeneous fluid. Flow Measurement and Instrumentation. 93. 102406–102406. 8 indexed citations
15.
Abualigah, Laith, et al.. (2023). Synergistic Swarm Optimization Algorithm. Computer Modeling in Engineering & Sciences. 139(3). 2557–2604. 20 indexed citations
16.
Shehab, Mohammad, et al.. (2023). Improved Black Widow Optimization: An investigation into enhancing cloud task scheduling efficiency. Sustainable Computing Informatics and Systems. 41. 100949–100949. 13 indexed citations
17.
Daoud, Mohammad Sh., et al.. (2023). Intelligent Phishing Email Detection with Multi-Feature Analysis (IPED-MFA). 12–18. 1 indexed citations
18.
Daoud, Mohammad Sh., et al.. (2023). Analyzing and contrasting machine learning algorithms for Intrusion Detection System. 5. 1–6. 1 indexed citations
19.
Daoud, Mohammad Sh., Mohammad Shehab, Laith Abualigah, et al.. (2023). Recent Advances of Chimp Optimization Algorithm: Variants and Applications. Journal of Bionic Engineering. 20(6). 2840–2862. 11 indexed citations
20.
Daoud, Mohammad Sh., et al.. (2022). Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications. Archives of Computational Methods in Engineering. 30(4). 2431–2449. 74 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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