Mashael Maashi

81 papers and 1.4k indexed citations i.

About

Mashael Maashi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Mashael Maashi has authored 81 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 18 papers in Computer Networks and Communications. Recurrent topics in Mashael Maashi’s work include AI in cancer detection (14 papers), COVID-19 diagnosis using AI (10 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Mashael Maashi is often cited by papers focused on AI in cancer detection (14 papers), COVID-19 diagnosis using AI (10 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Mashael Maashi collaborates with scholars based in Saudi Arabia, Egypt and Iraq. Mashael Maashi's co-authors include Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Salama A. Mostafa, Begonya García-Zapirain, Alaa S. Al‐Waisy, Ender Özcan, Shumoos Al-Fahdawi, Graham Kendall, Ammar Awad Mutlag and Mohd Khanapi Abd Ghani and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Sensors.

In The Last Decade

Co-authorship network of co-authors of Mashael Maashi i

Fields of papers citing papers by Mashael Maashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mashael Maashi

Since Specialization
Citations

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

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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2025