Noura Al Moubayed

52 papers and 383 indexed citations i.

About

Noura Al Moubayed is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Noura Al Moubayed has authored 52 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Cognitive Neuroscience. Recurrent topics in Noura Al Moubayed’s work include Topic Modeling (12 papers), Machine Learning in Healthcare (10 papers) and Multimodal Machine Learning Applications (6 papers). Noura Al Moubayed is often cited by papers focused on Topic Modeling (12 papers), Machine Learning in Healthcare (10 papers) and Multimodal Machine Learning Applications (6 papers). Noura Al Moubayed collaborates with scholars based in United Kingdom, Saudi Arabia and China. Noura Al Moubayed's co-authors include John McCall, Andrei Petrovski, Toby P. Breckon, Jason D. Connolly, Stephen Bonner, David Budgen, A. Stephen McGough, Zheming Zuo, Bashar Hasan and Amir Atapour–Abarghouei and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and Annals of Oncology.

In The Last Decade

Co-authorship network of co-authors of Noura Al Moubayed i

Fields of papers citing papers by Noura Al Moubayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noura Al Moubayed. 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 Noura Al Moubayed. The network helps show where Noura Al Moubayed may publish in the future.

Countries citing papers authored by Noura Al Moubayed

Since Specialization
Citations

This map shows the geographic impact of Noura Al Moubayed'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 Noura Al Moubayed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noura Al Moubayed 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