Mohammed Qaraad

522 total citations
15 papers, 380 citations indexed

About

Mohammed Qaraad is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Mohammed Qaraad has authored 15 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Molecular Biology and 6 papers in Computational Theory and Mathematics. Recurrent topics in Mohammed Qaraad's work include Metaheuristic Optimization Algorithms Research (7 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Gene expression and cancer classification (6 papers). Mohammed Qaraad is often cited by papers focused on Metaheuristic Optimization Algorithms Research (7 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Gene expression and cancer classification (6 papers). Mohammed Qaraad collaborates with scholars based in Morocco, Egypt and Iraq. Mohammed Qaraad's co-authors include Souad Amjad, Nazar K. Hussein, Mostafa A. Elhosseini, Seyedali Mirjalili, Mahmoud Badawy, Passent Elkafrawy, Xumin Chen, Mohamed A. Farag, Saima Hassan and Abdulqader M. Almars and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Neural Computing and Applications.

In The Last Decade

Mohammed Qaraad

15 papers receiving 369 citations

Peers

Mohammed Qaraad

RESE

CTM

CVPR

Souad Amjad Morocco

Nazar K. Hussein Iraq

Choo Jun Tan Malaysia

Marwa Sharawi Egypt

Fumin Ma China

Dheeb Albashish Jordan

Ajalmar R. Rocha Neto Brazil

Farhad Soleimanian Gharehchopogh Iran

Qingke Zhang China

Emilio Corchado Spain

Souad Amjad Morocco

Mohammed Qaraad

272 ×1.0

85 ×1.0

RESE

72 ×1.0

CTM

35 ×0.9

CVPR

25 ×0.7

Citations per year, relative to Mohammed Qaraad Mohammed Qaraad (= 1×) peers Souad Amjad

Countries citing papers authored by Mohammed Qaraad

Since Specialization

Citations

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

Fields of papers citing papers by Mohammed Qaraad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Qaraad

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

All Works

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15 of 15 papers shown

Qaraad, Mohammed, Souad Amjad, Nazar K. Hussein, et al.. (2023). Photovoltaic parameter estimation using improved moth flame algorithms with local escape operators. Computers & Electrical Engineering. 106. 108603–108603. 71 indexed citations

Hussein, Nazar K., Mohammed Qaraad, Souad Amjad, et al.. (2023). Enhancing feature selection with GMSMFO: A global optimization algorithm for machine learning with application to intrusion detection. Journal of Computational Design and Engineering. 10(4). 1363–1389. 18 indexed citations

Qaraad, Mohammed, et al.. (2023). Quadratic interpolation and a new local search approach to improve particle swarm optimization: Solar photovoltaic parameter estimation. Expert Systems with Applications. 236. 121417–121417. 83 indexed citations

Qaraad, Mohammed, et al.. (2022). Comparing SSALEO as a Scalable Large Scale Global Optimization Algorithm to High-Performance Algorithms for Real-World Constrained Optimization Benchmark. IEEE Access. 10. 95658–95700. 15 indexed citations

Qaraad, Mohammed, Souad Amjad, Nazar K. Hussein, & Mostafa A. Elhosseini. (2022). Addressing constrained engineering problems and feature selection with a time-based leadership salp-based algorithm with competitive learning. Journal of Computational Design and Engineering. 9(6). 2235–2270. 17 indexed citations

Qaraad, Mohammed, Souad Amjad, Nazar K. Hussein, & Mostafa A. Elhosseini. (2022). Large scale salp-based grey wolf optimization for feature selection and global optimization. Neural Computing and Applications. 34(11). 8989–9014. 43 indexed citations

Qaraad, Mohammed, Souad Amjad, Nazar K. Hussein, & Mostafa A. Elhosseini. (2022). An innovative quadratic interpolation salp swarm-based local escape operator for large-scale global optimization problems and feature selection. Neural Computing and Applications. 34(20). 17663–17721. 25 indexed citations

Qaraad, Mohammed, Souad Amjad, Nazar K. Hussein, Seyedali Mirjalili, & Mostafa A. Elhosseini. (2022). An innovative time-varying particle swarm-based Salp algorithm for intrusion detection system and large-scale global optimization problems. Artificial Intelligence Review. 56(8). 8325–8392. 12 indexed citations

Almars, Abdulqader M., Majed Alwateer, Mohammed Qaraad, et al.. (2021). Brain Cancer Prediction Based on Novel Interpretable Ensemble Gene Selection Algorithm and Classifier. Diagnostics. 11(10). 1936–1936. 9 indexed citations

10.

Qaraad, Mohammed, et al.. (2021). An Efficient SVM-Based Feature Selection Model for Cancer Classification Using High-Dimensional Microarray Data. IEEE Access. 9. 155353–155369. 30 indexed citations

11.

Qaraad, Mohammed, et al.. (2021). Hybrid feature selection model based on relief‐based algorithms and regulizer algorithms for cancer classification. Concurrency and Computation Practice and Experience. 33(17). 10 indexed citations

12.

Qaraad, Mohammed, et al.. (2021). A Hybrid Feature Selection Optimization Model for High Dimension Data Classification. IEEE Access. 9. 42884–42895. 30 indexed citations

13.

Qaraad, Mohammed, et al.. (2020). Parameters Optimization of Elastic NET for High Dimensional Data using PSO Algorithm. 1–7. 7 indexed citations

14.

Elkafrawy, Passent, et al.. (2019). Using Multi-Feature Selection with machine learning for De novo Acute Myeloid Leukemia in Egypt. 1–8. 5 indexed citations

15.

Qaraad, Mohammed, et al.. (2019). Feature Selection Techniques for Cancer Classification applied to Microarray Data: A survey. 1–8. 5 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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