Mohammad Shehab

3.5k total citations · 3 hit papers
60 papers, 2.2k citations indexed

About

Mohammad Shehab is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Mohammad Shehab has authored 60 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 14 papers in Computational Theory and Mathematics and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Mohammad Shehab's work include Metaheuristic Optimization Algorithms Research (31 papers), Advanced Multi-Objective Optimization Algorithms (13 papers) and Evolutionary Algorithms and Applications (8 papers). Mohammad Shehab is often cited by papers focused on Metaheuristic Optimization Algorithms Research (31 papers), Advanced Multi-Objective Optimization Algorithms (13 papers) and Evolutionary Algorithms and Applications (8 papers). Mohammad Shehab collaborates with scholars based in Jordan, Malaysia and Saudi Arabia. Mohammad Shehab's co-authors include Laith Abualigah, Mohammad Alshinwan, Hamzeh Alabool, Ahamad Tajudin Khader, Mohammed Azmi Al‐Betar, Mohd Khaled Yousef Shambour, Ahmad M. Khasawneh, Muhannad A. Abu‐Hashem, Mohamed Abd Elaziz and Ahmed Izzat Alsalibi and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, Applied Soft Computing and Neural Computing and Applications.

In The Last Decade

Mohammad Shehab

49 papers receiving 2.1k citations

Hit Papers

align trajectories

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.

Salp swarm algorithm: a comprehensive survey

2019 316 citations Laith Abualigah, Mohammad Shehab et al. Neural Computing and Applications profile →
Machine learning in medical applications: A review of state-of-the-art methods

2022 304 citations Mohammad Shehab, Laith Abualigah et al. Computers in Biology and Medicine profile →
Moth–flame optimization algorithm: variants and applications

2019 226 citations Mohammad Shehab, Laith Abualigah et al. Neural Computing and Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohammad Shehab Jordan	22	1.1k	402	331	302	281	60	2.2k
Raed Abu Zitar Jordan	29	1.0k 0.9×	431 1.1×	263 0.8×	298 1.0×	425 1.5×	124	2.4k
Qasem Al-Tashi Malaysia	16	946 0.8×	311 0.8×	261 0.8×	263 0.9×	322 1.1×	39	2.1k
Iyad Abu Doush Jordan	26	1.1k 1.0×	368 0.9×	324 1.0×	207 0.7×	362 1.3×	104	2.3k
Zaid Abdi Alkareem Alyasseri Iraq	28	948 0.8×	449 1.1×	195 0.6×	315 1.0×	288 1.0×	90	2.4k
Adam Słowik Poland	23	1.0k 0.9×	516 1.3×	373 1.1×	319 1.1×	257 0.9×	116	2.5k
Jeffrey O. Agushaka South Africa	18	1.5k 1.3×	381 0.9×	530 1.6×	334 1.1×	428 1.5×	27	2.8k
Mohammad Alshinwan Jordan	16	834 0.7×	298 0.7×	276 0.8×	222 0.7×	226 0.8×	51	1.6k
Said Jadid Abdulkadir Malaysia	25	1.1k 1.0×	250 0.6×	209 0.6×	244 0.8×	353 1.3×	110	2.6k
Sharif Naser Makhadmeh Jordan	26	757 0.7×	465 1.2×	133 0.4×	319 1.1×	186 0.7×	88	1.8k
Siti Mariyam Shamsuddin Malaysia	23	1.2k 1.1×	352 0.9×	228 0.7×	227 0.8×	365 1.3×	133	2.4k

Countries citing papers authored by Mohammad Shehab

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Shehab

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Shehab

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Shehab. A scholar is included among the top collaborators of Mohammad Shehab 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 Shehab. Mohammad Shehab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Shehab, Mohammad, et al.. (2025). Age and Power Minimization via Meta-Deep Reinforcement Learning in AAV Networks. IEEE Transactions on Vehicular Technology. 74(11). 16839–16849.

Shehab, Mohammad, et al.. (2025). A New Hybrid Approach for Improving Intrusion Detection System Based on Scatter Search Algorithm and Support Vector Machine. 5(1). 143–151. 2 indexed citations

Shehab, Mohammad, et al.. (2025). Exploring Metaheuristic Optimization Algorithms in the Context of Textual Cyberharassment: A Systematic Review. Expert Systems. 42(2). 2 indexed citations

Shehab, Mohammad. (2025). Artificial protozoa optimizer: A bio-inspired metaheuristic for complex engineering optimization. Results in Engineering. 27. 106883–106883.

Shehab, Mohammad, et al.. (2024). Nature-Inspired Metaheuristic Algorithms: A Comprehensive Review. The International Arab Journal of Information Technology. 21(5). 5 indexed citations

Issaid, Chaouki Ben, et al.. (2024). Fed-Sophia: A Communication-Efficient Second-Order Federated Learning Algorithm. 950–955.

Shehab, Mohammad, et al.. (2024). Integrated multi-layer perceptron neural network and novel feature extraction for handwritten Arabic recognition. International Journal of Data and Network Science. 8(3). 1501–1516. 6 indexed citations

Abualigah, Laith, Abiodun M. Ikotun, Mohammad Shehab, et al.. (2024). A review of krill herd algorithm: optimization and its applications. Elsevier eBooks. 231–239. 5 indexed citations

Shehab, Mohammad, et al.. (2024). Evaluating the Effectiveness of Stealth Protocols and Proxying in Hiding VPN Usage. 4(2). 186–194.

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.

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

12.

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

13.

Abu‐Hashem, Muhannad A., et al.. (2023). Discrepancies of remote techno-tolerance due to COVID-19 pandemic within Arab middle-east countries. PubMed Central. 14(3). 151–165. 15 indexed citations

14.

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

15.

Ikotun, Abiodun M., et al.. (2023). A real-time automatic pothole detection system using convolution neural networks. Applied and Computational Engineering. 6(1). 750–757. 7 indexed citations

16.

Abualigah, Laith, Khaled H. Almotairi, Mohamed Abd Elaziz, Mohammad Shehab, & Maryam Altalhi. (2022). Enhanced Flow Direction Arithmetic Optimization Algorithm for mathematical optimization problems with applications of data clustering. Engineering Analysis with Boundary Elements. 138. 13–29. 31 indexed citations

17.

Shehab, Mohammad, Laith Abualigah, Qusai Y. Shambour, et al.. (2022). Machine learning in medical applications: A review of state-of-the-art methods. Computers in Biology and Medicine. 145. 105458–105458. 304 indexed citations breakdown →

18.

Shehab, Mohammad, Muhannad A. Abu‐Hashem, Mohd Khaled Yousef Shambour, et al.. (2022). A Comprehensive Review of Bat Inspired Algorithm: Variants, Applications, and Hybridization. Archives of Computational Methods in Engineering. 30(2). 765–797. 61 indexed citations

19.

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

20.

Shehab, Mohammad, et al.. (2021). The Efficiency and Effectiveness of the Cyber Security in Maintaining the Cloud Accounting Information. Academy of strategic management journal. 20. 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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