Mai S. Mabrouk

4.7k total citations · 3 hit papers
103 papers, 3.6k citations indexed

About

Mai S. Mabrouk is a scholar working on Molecular Biology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mai S. Mabrouk has authored 103 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 24 papers in Artificial Intelligence and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mai S. Mabrouk's work include Machine Learning in Bioinformatics (23 papers), Gene expression and cancer classification (23 papers) and Fractal and DNA sequence analysis (14 papers). Mai S. Mabrouk is often cited by papers focused on Machine Learning in Bioinformatics (23 papers), Gene expression and cancer classification (23 papers) and Fractal and DNA sequence analysis (14 papers). Mai S. Mabrouk collaborates with scholars based in Egypt, Saudi Arabia and Qatar. Mai S. Mabrouk's co-authors include Walid Al‐Atabany, Fatma A. Hashim, Essam H. Houssein, Kashif Hussain, Seyedali Mirjalili, Olfat Shaker, Ayman El‐Baz, S.Y. Marzouk, R. Seoudi and Nahed H. Solouma and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Mai S. Mabrouk

97 papers receiving 3.4k 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.

Honey Badger Algorithm: New metaheuristic algorithm for solving optimization problems

2021 863 citations Fatma A. Hashim, Mai S. Mabrouk et al. profile →
Henry gas solubility optimization: A novel physics-based algorithm

2019 847 citations Fatma A. Hashim, Mai S. Mabrouk et al. profile →
Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems

2020 814 citations Fatma A. Hashim, Mai S. Mabrouk et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mai S. Mabrouk Egypt	18	1.7k	710	555	437	410	103	3.6k
Walid Al‐Atabany Egypt	14	1.7k 1.0×	701 1.0×	604 1.1×	738 1.7×	412 1.0×	67	3.4k
E. Emary Egypt	25	2.0k 1.2×	566 0.8×	349 0.6×	653 1.5×	317 0.8×	50	3.2k
Xiao‐Zhi Gao Finland	33	1.7k 1.0×	497 0.7×	674 1.2×	671 1.5×	448 1.1×	185	4.3k
Weiguo Zhao China	27	2.0k 1.1×	907 1.3×	1.1k 2.0×	405 0.9×	794 1.9×	116	4.8k
Zhennao Cai China	34	2.2k 1.3×	571 0.8×	411 0.7×	643 1.5×	247 0.6×	83	4.1k
Nima Khodadadi United States	32	1.5k 0.9×	771 1.1×	563 1.0×	294 0.7×	398 1.0×	111	3.6k
Kashif Hussain China	20	2.1k 1.2×	870 1.2×	684 1.2×	479 1.1×	490 1.2×	34	3.7k
Mohammed A. Awadallah Jordan	40	2.3k 1.3×	747 1.1×	1.1k 2.0×	518 1.2×	795 1.9×	130	4.8k
Mohammad H. Nadimi-Shahraki Iran	30	2.2k 1.3×	955 1.3×	533 1.0×	475 1.1×	434 1.1×	77	3.6k
Songfeng Lu China	34	2.0k 1.1×	557 0.8×	752 1.4×	671 1.5×	235 0.6×	173	4.1k

Countries citing papers authored by Mai S. Mabrouk

Since Specialization

Citations

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

Fields of papers citing papers by Mai S. Mabrouk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mai S. Mabrouk. 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 Mai S. Mabrouk. The network helps show where Mai S. Mabrouk may publish in the future.

Co-authorship network of co-authors of Mai S. Mabrouk

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Youssef, Ibrahim, et al.. (2025). The Intersection of Genetics and Neuroimaging: A Systematic Review of Imaging Genetics in Neurological Disease for Personalized Treatment. Journal of Molecular Neuroscience. 75(2). 66–66. 2 indexed citations

Hassan, Asmaa M., et al.. (2024). Multi-omics-based Machine Learning for the Subtype Classification of Breast Cancer. Arabian Journal for Science and Engineering. 50(2). 1339–1352. 6 indexed citations

Mabrouk, Mai S., et al.. (2024). Multi-omics data integration and analysis pipeline for precision medicine: Systematic review. Computational Biology and Chemistry. 113. 108254–108254. 16 indexed citations

Mabrouk, Mai S., et al.. (2023). Accurate Quantification of Small Pulmonary Nodules Using 3D Reconstruction of 2D Computed Tomography Lung Images. 42(2). 1–15. 1 indexed citations

Mabrouk, Mai S., et al.. (2023). A hybrid deep learning approach for COVID-19 detection based on genomic image processing techniques. Scientific Reports. 13(1). 4003–4003. 12 indexed citations

Alhussan, Amel Ali, M.S. Gaafar, Mafawez Alharbi, et al.. (2022). Prediction of the Judd–Ofelt Parameters of Dy3+-Doped Lead Borosilicate Using Artificial Neural Network. Electronics. 11(7). 1045–1045. 8 indexed citations

Mabrouk, Mai S., et al.. (2020). Investigation of Genome-Wide Association SNPs and Alzheimer’s Disease. 10(1). 1–8. 2 indexed citations

Mabrouk, Mai S., et al.. (2020). A diagnostic genomic signal processing (GSP)-based system for automatic feature analysis and detection of COVID-19. Briefings in Bioinformatics. 22(2). 1197–1205. 30 indexed citations

Badr, Eman, et al.. (2020). Vitamin D Receptor gene polymorphisms taq-1 and cdx-1 in female pattern hair loss. Indian Journal of Dermatology. 65(4). 259–259. 5 indexed citations

10.

Hashim, Fatma A., Mai S. Mabrouk, & Walid Al‐Atabany. (2019). Review of Different Sequence Motif Finding Algorithms.. PubMed. 11(2). 130–148. 38 indexed citations

11.

Hashim, Fatma A., Mai S. Mabrouk, & Walid Al‐Atabany. (2018). Comparative Analysis of DNA Motif Discovery Algorithms: A Systemic Review. Current Cancer Therapy Reviews. 15(1). 4–26. 1 indexed citations

12.

Mabrouk, Mai S.. (2017). Advanced Genomic Signal Processing Methods in DNA Mapping Schemes for Gene Prediction Using Digital Filters. 7(1). 12–24. 5 indexed citations

13.

Mabrouk, Mai S., et al.. (2017). Detecting genetic variants of breast cancer using different power spectrum methods. 147–153. 7 indexed citations

14.

Mohamed, Heba G., et al.. (2016). Advanced DNA Mapping Schemes for Exon Prediction Using Digital Filters. 6(1). 25–31. 13 indexed citations

15.

Mabrouk, Mai S., et al.. (2015). CLINICAL AND GENOMIC STRATEGIES FOR DETECTING HEPATOCELLULAR CARCINOMA IN EARLY STAGES: A SYSTEMATIC REVIEW. Journal of Global Research in Computer Sciences. 5(11). 101–115. 2 indexed citations

16.

Mabrouk, Mai S., et al.. (2015). Identification of rheumatoid arthritis biomarkers based on single nucleotide polymorphisms and haplotype blocks: A systematic review and meta-analysis. Journal of Advanced Research. 7(1). 1–16. 39 indexed citations

17.

Mabrouk, Mai S., et al.. (2014). Automaticand Accurate Segmentation of Gridded cDNA Microarray Images Using Different Methods. 4(2). 41–54. 1 indexed citations

18.

Mabrouk, Mai S., et al.. (2014). Impact of Parallel Computing on Identifying Biomarkers of Hepatocellular Carcinoma. Journal of Medical Imaging and Health Informatics. 4(4). 642–646. 3 indexed citations

19.

Mabrouk, Mai S.. (2012). Discovering best candidates for Hepatocellular Carcinoma (HCC) by in-silico techniques and tools. International Journal of Bioinformatics Research and Applications. 8(1/2). 141–141. 5 indexed citations

20.

Mabrouk, Mai S.. (2011). NON- INVASIVE EEG-BASED BCI SYSTEM FOR LEFT OR RIGHT HAND MOVEMENT. SHILAP Revista de lepidopterología. 5(318). 46–52. 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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