Maha Sharkas

20 papers and 689 indexed citations i.

About

Maha Sharkas is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Maha Sharkas has authored 20 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Maha Sharkas’s work include Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (6 papers) and COVID-19 diagnosis using AI (5 papers). Maha Sharkas is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (6 papers) and COVID-19 diagnosis using AI (5 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 Khedr, Mohamed Tamazin, Mohamed Mahmoud, Iman Morsi and Ahmed K. Abdelsalam and has published in prestigious journals such as Scientific Reports, Sensors and Computers in Biology and Medicine.

In The Last Decade

Co-authorship network of co-authors of Maha Sharkas i

Fields of papers citing papers by Maha Sharkas

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Maha Sharkas. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Maha Sharkas may publish in the future.

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).

Rankless by CCL
2025