Najah Alsubaie

30 papers and 423 indexed citations i.

About

Najah Alsubaie is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Najah Alsubaie has authored 30 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Najah Alsubaie’s work include AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Digital Imaging for Blood Diseases (6 papers). Najah Alsubaie is often cited by papers focused on AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Digital Imaging for Blood Diseases (6 papers). Najah Alsubaie collaborates with scholars based in Saudi Arabia, Pakistan and Tunisia. Najah Alsubaie's co-authors include Nasir Rajpoot, Hanan Aljuaid, Nazik Alturki, Antonio Liotta, Shan E Ahmed Raza, Muhammad Moazam Fraz, Syed Ali Khurram, Asif Loya, Sajid Mushtaq and Muhammad Shaban and has published in prestigious journals such as PLoS ONE, Scientific Reports and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Najah Alsubaie i

Fields of papers citing papers by Najah Alsubaie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Najah Alsubaie

Since Specialization
Citations

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