Madallah Alruwaili

53 papers and 649 indexed citations i.

About

Madallah Alruwaili is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Madallah Alruwaili has authored 53 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Madallah Alruwaili’s work include COVID-19 diagnosis using AI (10 papers), AI in cancer detection (7 papers) and Context-Aware Activity Recognition Systems (6 papers). Madallah Alruwaili is often cited by papers focused on COVID-19 diagnosis using AI (10 papers), AI in cancer detection (7 papers) and Context-Aware Activity Recognition Systems (6 papers). Madallah Alruwaili collaborates with scholars based in Saudi Arabia, Pakistan and Egypt. Madallah Alruwaili's co-authors include Saad Alanazi, Muhammad Hameed Siddiqi, Nasser Alshammari, M. M. Kamruzzaman, Yousef Alhwaiti, Walaa Gouda, Abdulaziz Shehab, Salman A. AlQahtani, Fahad Ahmad and Amjad Ali and has published in prestigious journals such as Scientific Reports, Computers in Human Behavior and Sensors.

In The Last Decade

Co-authorship network of co-authors of Madallah Alruwaili i

Fields of papers citing papers by Madallah Alruwaili

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Madallah Alruwaili

Since Specialization
Citations

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