Lama Hassan

16 papers and 305 indexed citations i.

About

Lama Hassan is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Lama Hassan has authored 16 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Lama Hassan’s work include Radiomics and Machine Learning in Medical Imaging (9 papers), AI in cancer detection (5 papers) and COVID-19 diagnosis using AI (3 papers). Lama Hassan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), AI in cancer detection (5 papers) and COVID-19 diagnosis using AI (3 papers). Lama Hassan collaborates with scholars based in Canada, China and Saudi Arabia. Lama Hassan's co-authors include Ahmad Chaddad, Christian Desrosiers, Camel Tanougast, Ahmed Bouridane, Matthew Toews, Aline Pinon, Youness Limami, Bertrand Liagre, Alain Simon and Tomohiro Iida and has published in prestigious journals such as PLoS ONE, Experimental Cell Research and Journal of Cellular Biochemistry.

In The Last Decade

Co-authorship network of co-authors of Lama Hassan i

Fields of papers citing papers by Lama Hassan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lama Hassan

Since Specialization
Citations

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