Adel Elmaghraby

5.7k total citations · 3 hit papers
259 papers, 3.6k citations indexed

About

Adel Elmaghraby is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Adel Elmaghraby has authored 259 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Computer Vision and Pattern Recognition, 80 papers in Artificial Intelligence and 63 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Adel Elmaghraby's work include Medical Image Segmentation Techniques (38 papers), Radiomics and Machine Learning in Medical Imaging (37 papers) and AI in cancer detection (37 papers). Adel Elmaghraby is often cited by papers focused on Medical Image Segmentation Techniques (38 papers), Radiomics and Machine Learning in Medical Imaging (37 papers) and AI in cancer detection (37 papers). Adel Elmaghraby collaborates with scholars based in United States, United Arab Emirates and Egypt. Adel Elmaghraby's co-authors include Daniel Sierra-Sosa, Begonya García-Zapirain, Michael Losavio, Ayman El‐Baz, Mark P. Wachowiak, R. Smolikova, Asma Baccouche, Anup Kumar, Abbas Shah Syed and Georgia D. Tourassi and has published in prestigious journals such as Scientific Reports, IEEE Access and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Adel Elmaghraby

237 papers receiving 3.4k citations

Hit Papers

Cyber security challenges in Smart Cities: Safety, securi... 2014 2026 2018 2022 2014 2021 2021 100 200 300

Peers

Adel Elmaghraby
Ying Chen China
Adel Elmaghraby
Citations per year, relative to Adel Elmaghraby Adel Elmaghraby (= 1×) peers Ying Chen

Countries citing papers authored by Adel Elmaghraby

Since Specialization
Citations

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

Fields of papers citing papers by Adel Elmaghraby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adel Elmaghraby

This figure shows the co-authorship network connecting the top 25 collaborators of Adel Elmaghraby. A scholar is included among the top collaborators of Adel Elmaghraby 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 Adel Elmaghraby. Adel Elmaghraby 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.
Sierra-Sosa, Daniel, et al.. (2023). A Robust Pedestrian Re-Identification and Out-Of-Distribution Detection Framework. Drones. 7(6). 352–352.
2.
Gentili, Monica, et al.. (2022). Classifying Comments on Social Media Related to Living Kidney Donation: Machine Learning Training and Validation Study. JMIR Medical Informatics. 10(11). e37884–e37884. 3 indexed citations
3.
Shehata, Mohamed, Ahmed Shalaby, Andrew E. Switala, et al.. (2020). A multimodal computer‐aided diagnostic system for precise identification of renal allograft rejection: Preliminary results. Medical Physics. 47(6). 2427–2440. 14 indexed citations
4.
Dekhil, Omar, Mohamed T. Ali, Ahmed Shalaby, et al.. (2019). A Personalized Autism Diagnosis CAD System Using a Fusion of Structural MRI and Resting-State Functional MRI Data. Frontiers in Psychiatry. 10. 392–392. 48 indexed citations
5.
Zahia, Sofia, Begonya García-Zapirain, Xavier Sevillano, et al.. (2019). Pressure injury image analysis with machine learning techniques: A systematic review on previous and possible future methods. Artificial Intelligence in Medicine. 102. 101742–101742. 59 indexed citations
6.
Soliman, Ahmed, Mohammed Ghazal, Ali Mahmoud, et al.. (2019). A Novel Framework for Early Detection of Hypertension using Magnetic Resonance Angiography. Scientific Reports. 9(1). 11105–11105. 11 indexed citations
7.
García-Zapirain, Begonya, Mohammed Elmogy, Ayman El‐Baz, & Adel Elmaghraby. (2018). Classification of pressure ulcer tissues with 3D convolutional neural network. Medical & Biological Engineering & Computing. 56(12). 2245–2258. 43 indexed citations
8.
Zahia, Sofia, Daniel Sierra-Sosa, Begonya García-Zapirain, & Adel Elmaghraby. (2018). Tissue classification and segmentation of pressure injuries using convolutional neural networks. Computer Methods and Programs in Biomedicine. 159. 51–58. 63 indexed citations
9.
García-Zapirain, Begonya, et al.. (2018). Efficient use of mobile devices for quantification of pressure injury images. Technology and Health Care. 26(1_suppl). 269–280. 7 indexed citations
10.
Elmaghraby, Adel, et al.. (2015). Effect of training set size on SVM and Naïve Bayes for Twitter sentiment analysis. 46–51. 26 indexed citations
11.
Zorrilla, Amaia Méndez, et al.. (2010). Pathological Vocal Folds Features Extraction Using a Modified Active Contour Segmentation. Majlesi Journal of Electrical Engineering. 4(415). 55–61. 3 indexed citations
12.
Sahoo, Prasanna K., et al.. (2007). Graph cut optimization for the Mumford-Shah model. BioMed Research International. 2016(17). 182–187. 33 indexed citations
13.
Casanova, Manuel F., et al.. (2007). Recursive trace line method for detecting myelinated bundles: A comparison study with pyramidal cell arrays. Journal of Neuroscience Methods. 168(2). 367–372. 10 indexed citations
14.
Elmaghraby, Adel, et al.. (2005). Morphological concentric layer analysis for automated detection of suspicious masses in screening mammograms. PubMed. 3. 1279–1282. 4 indexed citations
15.
Ragade, Rammohan K., et al.. (2004). A modified particle swarm algorithm for robotic mapping of hazardous environments. World Automation Congress. 17. 31–36. 13 indexed citations
16.
Hadizadeh, J., et al.. (2003). Segmentation Techniques for Image Analysis of Fragmental Rock Textures.. 44(1). 93–96. 1 indexed citations
17.
Anderson, Donald E., et al.. (2002). A Distributed Agent Architecture for Human Operations in Space.. Information Systems. 25(5). 71–76. 1 indexed citations
18.
Elmaghraby, Adel, et al.. (2001). A Genetic Approach for 2-D Irregular Cutting Stock Problems.. Information Systems. 154(4). 114–117. 3 indexed citations
19.
Milanova, Mariofanna, Adel Elmaghraby, & Stuart H. Rubin. (2000). Cellular Neural Networks for Segmentation of Image Sequence.. Information Systems. 189(2). 116–119. 2 indexed citations
20.
Graham, James H., et al.. (1998). Evaluation of a prototype visualization for distributed simulations. Winter Simulation Conference. 2. 1469–1478. 3 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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