Maha Sharkas

1.7k total citations · 1 hit paper
40 papers, 1.1k citations indexed

About

Maha Sharkas is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Maha Sharkas has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 11 papers in Signal Processing. Recurrent topics in Maha Sharkas's work include AI in cancer detection (8 papers), Image Retrieval and Classification Techniques (7 papers) and Advanced Steganography and Watermarking Techniques (6 papers). Maha Sharkas is often cited by papers focused on AI in cancer detection (8 papers), Image Retrieval and Classification Techniques (7 papers) and Advanced Steganography and Watermarking Techniques (6 papers). Maha Sharkas collaborates with scholars based in Egypt, United Kingdom and Canada. Maha Sharkas's co-authors include Omneya Attallah, Dina A. Ragab, Stephen Marshall, Jinchang Ren, Mohamed Tamazin, Mohamed Khedr, Ehab F. Badran, Ibrahim El Rube, Onsy Abdel Alim and Mohamed Mahmoud and has published in prestigious journals such as Scientific Reports, Sensors and Computers in Biology and Medicine.

In The Last Decade

Maha Sharkas

39 papers receiving 1.1k citations

Hit Papers

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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.

Breast cancer detection using deep convolutional neural networks and support vector machines

2019 320 citations Dina A. Ragab, Maha Sharkas et al. PeerJ profile →

Peers

Countries citing papers authored by Maha Sharkas

Since Specialization

Citations

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

Fields of papers citing papers by Maha Sharkas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maha Sharkas

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	AI - Driven Mental Disorders Categorization from Social Media: A Deep Learning Pre-Screening Framework 2024 ·(unknown), (unknown), Maha Sharkas	1
2	Color-CADx: a deep learning approach for colorectal cancer classification through triple convolutional neural networks and discrete cosine transform 2024 ·Scientific Reports ·Maha Sharkas, Omneya Attallah	25
3	GASTRO-CADx: a three stages framework for diagnosing gastrointestinal diseases 2021 ·PeerJ Computer Science ·Omneya Attallah, Maha Sharkas	39
4	Intelligent Dermatologist Tool for Classifying Multiple Skin Cancer Subtypes by Incorporating Manifold Radiomics Features Categories 2021 ·Contrast Media & Molecular Imaging ·Omneya Attallah, Maha Sharkas	20
5	A framework for breast cancer classification using Multi-DCNNs 2021 ·Computers in Biology and Medicine ·Dina A. Ragab, Omneya Attallah, Maha Sharkas, Jinchang Ren, Stephen Marshall	137
6	A Two-Stage Framework for Automated Malignant Pulmonary Nodule Detection in CT Scans 2020 ·Diagnostics ·(unknown), (unknown), Maha Sharkas	35
7	MULTI-DEEP: A novel CAD system for coronavirus (COVID-19) diagnosis from CT images using multiple convolution neural networks 2020 ·PeerJ ·Omneya Attallah, Dina A. Ragab, Maha Sharkas	46
8	A multi-task pipeline with specialized streams for classification and segmentation of infection manifestations in COVID-19 scans 2020 ·PeerJ Computer Science ·(unknown), (unknown), Maha Sharkas	31
9	Deep Learning Techniques for Automatic Detection of Embryonic Neurodevelopmental Disorders 2020 ·Diagnostics ·Omneya Attallah, Maha Sharkas, (unknown)	46
10	Comprehensive Investigation on Principle Component Large-Scale Wi-Fi Indoor Localization 2019 ·Sensors ·(unknown), Mohamed Tamazin, Maha Sharkas, Mohamed Khedr, Mohamed Mahmoud	10
11	Automatic Classification of Gastrointestinal Diseases Based on Machine Learning Techniques 2019 ·(unknown), Omneya Attallah, (unknown), Maha Sharkas	2
12	Priority level mutualism for emergency vehicle using game theory 2017 ·(unknown), Maha Sharkas, Mohamed Khedr	2
13	An enhanced WiFi indoor localization system based on machine learning 2016 ·(unknown), Mohamed Tamazin, Maha Sharkas, Mohamed Khedr	111
14	A neural network based approach for iris recognition based on both eyes 2016 ·Maha Sharkas	10
15	Adaptive forward-backward orthogonal matching pursuit for compressed sensing 2016 ·(unknown), Maha Sharkas, (unknown)	0
16	Determination of Ascorbic Acid Level in Orange Juice using an Open-source Poteniostat & Screen Printed Electrodes 2016 ·(unknown), Iman Morsi, Maha Sharkas	3
17	Multiple watermark embedding scheme in wavelet-spatial domains based on ROI of medical images 2009 ·Ehab F. Badran, Maha Sharkas, Omneya Attallah	17
18	A Novel Dual-Purpose Image Watermarking Technique 2007 ·Zenodo (CERN European Organization for Nuclear Research) ·Maha Sharkas, (unknown), (unknown)	2
19	Identification of transmission line faults using wavelet analysis 2006 ·(unknown), Maha Sharkas	5
20	Application of DCT blocks with principal component analysis for face recognition 2005 ·Maha Sharkas	10

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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