Mustafa Elattar

798 total citations
34 papers, 449 citations indexed

About

Mustafa Elattar is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mustafa Elattar has authored 34 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Cardiology and Cardiovascular Medicine and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mustafa Elattar's work include Cardiac Valve Diseases and Treatments (8 papers), Cardiac Imaging and Diagnostics (5 papers) and COVID-19 diagnosis using AI (5 papers). Mustafa Elattar is often cited by papers focused on Cardiac Valve Diseases and Treatments (8 papers), Cardiac Imaging and Diagnostics (5 papers) and COVID-19 diagnosis using AI (5 papers). Mustafa Elattar collaborates with scholars based in Egypt, Netherlands and United Kingdom. Mustafa Elattar's co-authors include Ahmed Tashrif Kamal, Henk A. Marquering, R. Nils Planken, Jan Baan, Ed VanBavel, Esther Wiegerinck, Alistair A. Young, Pau Medrano−Gracia, Brett R. Cowan and Ahmed S. Fahmy and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Mustafa Elattar

28 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mustafa Elattar Egypt 10 148 131 118 117 76 34 449
Isam Abu‐Qasmieh Jordan 13 178 1.2× 103 0.8× 77 0.7× 226 1.9× 135 1.8× 39 604
Mohammed Yusuf Ansari Qatar 13 251 1.7× 77 0.6× 178 1.5× 164 1.4× 20 0.3× 21 696
Yunendah Nur Fuadah Indonesia 10 66 0.4× 77 0.6× 74 0.6× 91 0.8× 48 0.6× 36 359
Mohammad H. Jafari Canada 10 191 1.3× 63 0.5× 151 1.3× 302 2.6× 337 4.4× 26 663
Clifford Yang United States 11 377 2.5× 77 0.6× 87 0.7× 356 3.0× 63 0.8× 22 673
Sandy Engelhardt Germany 12 148 1.0× 164 1.3× 176 1.5× 84 0.7× 66 0.9× 50 754
Muhammad Naufal Rachmatullah Indonesia 15 98 0.7× 377 2.9× 58 0.5× 115 1.0× 17 0.2× 60 712
Irena Galić Croatia 12 139 0.9× 49 0.4× 197 1.7× 108 0.9× 21 0.3× 53 431
Annisa Darmawahyuni Indonesia 17 107 0.7× 452 3.5× 54 0.5× 123 1.1× 17 0.2× 53 776
Solon A. Peixoto Brazil 11 149 1.0× 33 0.3× 65 0.6× 121 1.0× 72 0.9× 15 359

Countries citing papers authored by Mustafa Elattar

Since Specialization
Citations

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

Fields of papers citing papers by Mustafa Elattar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mustafa Elattar

This figure shows the co-authorship network connecting the top 25 collaborators of Mustafa Elattar. A scholar is included among the top collaborators of Mustafa Elattar 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 Mustafa Elattar. Mustafa Elattar 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.
Elattar, Mustafa, et al.. (2025). Advancing ADMET prediction for major CYP450 isoforms: graph-based models, limitations, and future directions. BioMedical Engineering OnLine. 24(1). 93–93. 1 indexed citations
2.
Omran, Mohamed M., et al.. (2025). Comparative analysis of statistical and deep learning-based multi-omics integration for breast cancer subtype classification. Journal of Translational Medicine. 23(1). 709–709. 2 indexed citations
3.
Elattar, Mustafa, et al.. (2025). A deep learning model for multiclass tooth segmentation on cone-beam computed tomography scans. American Journal of Orthodontics and Dentofacial Orthopedics. 168(2). 191–198.
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Abid, Abubakar, et al.. (2024). STG-MTL: scalable task grouping for multi-task learning using data maps. Machine Learning Science and Technology. 5(2). 25068–25068. 4 indexed citations
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Campello, Víctor M., Jordina Torrents‐Barrena, Mustafa Elattar, et al.. (2023). Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries. Scientific Reports. 13(1). 2728–2728. 27 indexed citations
9.
Elattar, Mustafa, et al.. (2023). A novel data augmentation approach for ego-lane detection enhancement. Evolving Systems. 15(3). 1021–1032. 2 indexed citations
10.
Elattar, Mustafa, et al.. (2023). Joint Sign Language Recognition and Translation Using Keypoint Estimation. 9. 184–189. 1 indexed citations
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12.
Elattar, Mustafa, et al.. (2022). A CAD System for Lung Cancer Detection Using Chest X-ray: A Review. Communications in computer and information science. 12–25. 1 indexed citations
13.
Elattar, Mustafa, et al.. (2021). Light-Weight Localization and Scale-Independent Multi-gate UNET Segmentation of Left and Right Ventricles in MRI Images. Cardiovascular Engineering and Technology. 13(3). 393–406. 3 indexed citations
14.
Elattar, Mustafa, et al.. (2021). A Deep Learning-Based Benchmarking Framework for Lane Segmentation in the Complex and Dynamic Road Scenes. IEEE Access. 9. 117565–117580. 15 indexed citations
15.
El-Hadidi, Mohamed, et al.. (2020). Convolutional Neural Network with Attention Modules for Pneumonia Detection. 1–6. 3 indexed citations
16.
Kesteren, Floortje van, Mustafa Elattar, Krijn P. van Lienden, et al.. (2017). Non-contrast enhanced navigator-gated balanced steady state free precession magnetic resonance angiography as a preferred magnetic resonance technique for assessment of the thoracic aorta. Clinical Radiology. 72(8). 695.e1–695.e6. 5 indexed citations
17.
Elattar, Mustafa, Martijn S. van Mourik, Jan Baan, et al.. (2017). Dynamics of the aortic annulus in 4D CT angiography for transcatheter aortic valve implantation patients. PLoS ONE. 12(9). e0184133–e0184133. 9 indexed citations
18.
Elattar, Mustafa, Esther Wiegerinck, Floortje van Kesteren, et al.. (2015). Automatic aortic root landmark detection in CTA images for preprocedural planning of transcatheter aortic valve implantation. International journal of cardiac imaging. 32(3). 501–511. 32 indexed citations
19.
Elattar, Mustafa, Esther Wiegerinck, R. Nils Planken, et al.. (2014). Automatic segmentation of the aortic root in CT angiography of candidate patients for transcatheter aortic valve implantation. Medical & Biological Engineering & Computing. 52(7). 611–618. 34 indexed citations
20.
Wiegerinck, Esther, Henk A. Marquering, Mustafa Elattar, et al.. (2013). Imaging for approach selection of TAVI: assessment of the aorto-iliac tract diameter by computed tomography-angiography versus projection angiography. International journal of cardiac imaging. 30(2). 399–405. 13 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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2026