Majed Alhaisoni

86 papers and 1.9k indexed citations i.

About

Majed Alhaisoni is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Majed Alhaisoni has authored 86 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 34 papers in Computer Vision and Pattern Recognition and 16 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Majed Alhaisoni’s work include AI in cancer detection (17 papers), Brain Tumor Detection and Classification (16 papers) and COVID-19 diagnosis using AI (12 papers). Majed Alhaisoni is often cited by papers focused on AI in cancer detection (17 papers), Brain Tumor Detection and Classification (16 papers) and COVID-19 diagnosis using AI (12 papers). Majed Alhaisoni collaborates with scholars based in Saudi Arabia, Pakistan and South Korea. Majed Alhaisoni's co-authors include Muhammad Attique Khan, Robertas Damaševičius, Usman Tariq, Amjad Rehman, Imran Ashraf, Yudong Zhang, Syed Ahmad Chan Bukhari, Seifedine Kadry, Yunyoung Nam and Rafał Scherer and has published in prestigious journals such as Scientific Reports, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Majed Alhaisoni i

Fields of papers citing papers by Majed Alhaisoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Majed Alhaisoni

Since Specialization
Citations

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