Laith Alzubaidi

69 papers and 4.9k indexed citations i.

About

Laith Alzubaidi is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Laith Alzubaidi has authored 69 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 19 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Laith Alzubaidi’s work include COVID-19 diagnosis using AI (12 papers), Anomaly Detection Techniques and Applications (12 papers) and AI in cancer detection (12 papers). Laith Alzubaidi is often cited by papers focused on COVID-19 diagnosis using AI (12 papers), Anomaly Detection Techniques and Applications (12 papers) and AI in cancer detection (12 papers). Laith Alzubaidi collaborates with scholars based in Australia, Iraq and United States. Laith Alzubaidi's co-authors include Mohammed A. Fadhel, Jinglan Zhang, Ye Duan, Omran Al-Shamma, José Santamaría, Laith Farhan, Amjad J. Humaidi, Muthana Al‐Amidie, Ayad Q. Al-Dujaili and Yuantong Gu and has published in prestigious journals such as PLoS ONE, Computer Methods in Applied Mechanics and Engineering and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Laith Alzubaidi i

Fields of papers citing papers by Laith Alzubaidi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laith Alzubaidi

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025