Mohamed Elsharkawy

779 total citations
33 papers, 549 citations indexed

About

Mohamed Elsharkawy is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Artificial Intelligence. According to data from OpenAlex, Mohamed Elsharkawy has authored 33 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Ophthalmology and 8 papers in Artificial Intelligence. Recurrent topics in Mohamed Elsharkawy's work include Retinal Imaging and Analysis (17 papers), Retinal Diseases and Treatments (9 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Mohamed Elsharkawy is often cited by papers focused on Retinal Imaging and Analysis (17 papers), Retinal Diseases and Treatments (9 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Mohamed Elsharkawy collaborates with scholars based in United States, United Arab Emirates and Egypt. Mohamed Elsharkawy's co-authors include Ayman El‐Baz, Harpal S. Sandhu, Ahmed Sharafeldeen, Mohammed Ghazal, Ahmed Soliman, Jason P. Sheehan, Robert M. Starke, Brian J. Williams, James Nguyen and Fahmi Khalifa and has published in prestigious journals such as Scientific Reports, Journal of neurosurgery and IEEE Access.

In The Last Decade

Mohamed Elsharkawy

30 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamed Elsharkawy United States 13 334 172 126 114 99 33 549
Daniel Ferraz Brazil 11 450 1.3× 437 2.5× 20 0.2× 32 0.3× 36 0.4× 38 647
Martin Leitritz Germany 12 382 1.1× 368 2.1× 101 0.8× 24 0.2× 41 0.4× 41 597
Zaid Mammo Canada 15 610 1.8× 700 4.1× 41 0.3× 31 0.3× 35 0.4× 39 868
Jingyuan Yang China 13 304 0.9× 301 1.8× 118 0.9× 37 0.3× 10 0.1× 42 520
T. Y. Alvin Liu United States 13 369 1.1× 361 2.1× 15 0.1× 40 0.4× 26 0.3× 57 598
Basant Kumar India 13 175 0.5× 112 0.7× 297 2.4× 15 0.1× 14 0.1× 77 541
Weihong Yu China 14 473 1.4× 473 2.8× 11 0.1× 29 0.3× 40 0.4× 51 606
Morgan Heisler Canada 17 713 2.1× 681 4.0× 26 0.2× 28 0.2× 29 0.3× 36 908
Zhaoan Su China 11 256 0.8× 256 1.5× 18 0.1× 23 0.2× 12 0.1× 21 412
Pascal W. Hasler Switzerland 16 645 1.9× 986 5.7× 54 0.4× 62 0.5× 53 0.5× 59 1.2k

Countries citing papers authored by Mohamed Elsharkawy

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Elsharkawy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Elsharkawy

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Elsharkawy. A scholar is included among the top collaborators of Mohamed Elsharkawy 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 Mohamed Elsharkawy. Mohamed Elsharkawy 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.
2.
Elsharkawy, Mohamed, et al.. (2025). Mask-UnMask Regions (MUMR) Framework for Classifying AMD Grades Using Inter-Regional Interaction Analysis. IEEE Access. 13. 8286–8296. 3 indexed citations
3.
Elsharkawy, Mohamed, Ibrahim A. Hameed, Ali Mahmoud, et al.. (2025). Seg-Swin: A Dual-Attention Transformer Model for Advanced AMD Classification and Lesion Detection Using Color Fundus Imaging. IEEE Access. 13. 70489–70511. 1 indexed citations
4.
Hameed, Ibrahim A., et al.. (2025). AI-based methods for diagnosing and grading diabetic retinopathy: A comprehensive review. Artificial Intelligence in Medicine. 168. 103221–103221. 1 indexed citations
5.
Elsharkawy, Mohamed, et al.. (2025). ISGM-DR: Important Slice-Guided Model for Diabetic Retinopathy Diagnosis Using 3D Oct Images. 1–4. 1 indexed citations
6.
Almalki, Yassir Edrees, Mohamed Elsharkawy, Sharifa Khalid Alduraibi, et al.. (2024). Twoviewdensity-Pvt: A Vision Transformer System for Accurate Bi-Rads Classification in Breast Cancer Grading From Mammogram Images. 1–4. 2 indexed citations
7.
Elsharkawy, Mohamed, Mohammed Ghazal, Norah Saleh Alghamdi, et al.. (2023). Scale-adaptive model for detection and grading of age-related macular degeneration from color retinal fundus images. Scientific Reports. 13(1). 14 indexed citations
8.
Elsharkawy, Mohamed, Ahmed Alksas, Ali Mahmoud, et al.. (2023). Automated Diagnosis of Breast Cancer Using Deep Learning-Based Whole Slide Image Analysis of Molecular Biomarkers. 2965–2969. 10 indexed citations
9.
Elsharkawy, Mohamed, Ahmed Sharafeldeen, Marah Alhalabi, et al.. (2022). The Role of Different Retinal Imaging Modalities in Predicting Progression of Diabetic Retinopathy: A Survey. Sensors. 22(9). 3490–3490. 27 indexed citations
10.
Elsharkawy, Mohamed, Ahmed Sharafeldeen, Ahmed Soliman, et al.. (2022). Diabetic Retinopathy Diagnostic CAD System Using 3D-Oct Higher Order Spatial Appearance Model. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). 5 indexed citations
11.
Sharafeldeen, Ahmed, Mohamed Elsharkawy, Ahmed Soliman, et al.. (2022). The Role of 3D CT Imaging in the Accurate Diagnosis of Lung Function in Coronavirus Patients. Diagnostics. 12(3). 696–696. 12 indexed citations
12.
Sharafeldeen, Ahmed, Mohamed Elsharkawy, Ahmed Shaffie, et al.. (2022). Thyroid Cancer Diagnostic System using Magnetic Resonance Imaging. 2022 26th International Conference on Pattern Recognition (ICPR). 4365–4370. 4 indexed citations
13.
Elsharkawy, Mohamed, Ahmed Sharafeldeen, Ahmed Soliman, et al.. (2022). A Novel Computer-Aided Diagnostic System for Early Detection of Diabetic Retinopathy Using 3D-OCT Higher-Order Spatial Appearance Model. Diagnostics. 12(2). 461–461. 48 indexed citations
14.
Elsharkawy, Mohamed, Mohammed Ghazal, Marah Alhalabi, et al.. (2021). Role of Optical Coherence Tomography Imaging in Predicting Progression of Age-Related Macular Disease: A Survey. Diagnostics. 11(12). 2313–2313. 31 indexed citations
15.
Sharafeldeen, Ahmed, Mohamed Elsharkawy, Fahmi Khalifa, et al.. (2021). Precise higher-order reflectivity and morphology models for early diagnosis of diabetic retinopathy using OCT images. Scientific Reports. 11(1). 4730–4730. 40 indexed citations
16.
Sharafeldeen, Ahmed, Mohamed Elsharkawy, Norah Saleh Alghamdi, Ahmed Soliman, & Ayman El‐Baz. (2021). Precise Segmentation of COVID-19 Infected Lung from CT Images Based on Adaptive First-Order Appearance Model with Morphological/Anatomical Constraints. Sensors. 21(16). 5482–5482. 13 indexed citations
17.
Sharafeldeen, Ahmed, Mohamed Elsharkawy, Ahmed Shaffie, et al.. (2021). Texture and shape analysis of diffusion‐weighted imaging for thyroid nodules classification using machine learning. Medical Physics. 49(2). 988–999. 21 indexed citations
18.
Elsharkawy, Mohamed, Ahmed Sharafeldeen, Fatma Taher, et al.. (2021). Early assessment of lung function in coronavirus patients using invariant markers from chest X-rays images. Scientific Reports. 11(1). 12095–12095. 21 indexed citations
19.
Sandhu, Harpal S., Mohammed Elmogy, Ahmed Sharafeldeen, et al.. (2020). Automated Diagnosis of Diabetic Retinopathy Using Clinical Biomarkers, Optical Coherence Tomography, and Optical Coherence Tomography Angiography. American Journal of Ophthalmology. 216. 201–206. 69 indexed citations
20.
Elsharkawy, Mohamed, et al.. (2019). A Novel Image Encryption with Deep Learning Model for Secure Content based Image Retrieval. 54–64. 6 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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