Maria El Homsi

38 papers and 300 indexed citations i.

About

Maria El Homsi is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Oncology. According to data from OpenAlex, Maria El Homsi has authored 38 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Surgery and 10 papers in Oncology. Recurrent topics in Maria El Homsi’s work include Radiomics and Machine Learning in Medical Imaging (13 papers), MRI in cancer diagnosis (9 papers) and Colorectal Cancer Surgical Treatments (7 papers). Maria El Homsi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (13 papers), MRI in cancer diagnosis (9 papers) and Colorectal Cancer Surgical Treatments (7 papers). Maria El Homsi collaborates with scholars based in United States, Lebanon and Brazil. Maria El Homsi's co-authors include Natally Horvat, Bachir Taouli, Sara Lewis, ‬David D. B. Bates, Michael J. King, Adam Jacobi, Neeraj Lalwani, Shannon P. Sheedy, Kevin J. Chang and Adam Bernheim and has published in prestigious journals such as Scientific Reports, Radiology and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Maria El Homsi i

Fields of papers citing papers by Maria El Homsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria El Homsi. 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 Maria El Homsi. The network helps show where Maria El Homsi may publish in the future.

Countries citing papers authored by Maria El Homsi

Since Specialization
Citations

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