Mehdi Moradi

59 papers and 2.0k indexed citations i.

About

Mehdi Moradi is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mehdi Moradi has authored 59 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Radiology, Nuclear Medicine and Imaging, 27 papers in Artificial Intelligence and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mehdi Moradi’s work include AI in cancer detection (20 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and COVID-19 diagnosis using AI (14 papers). Mehdi Moradi is often cited by papers focused on AI in cancer detection (20 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and COVID-19 diagnosis using AI (14 papers). Mehdi Moradi collaborates with scholars based in United States, Canada and Iran. Mehdi Moradi's co-authors include Tanveer Syeda-Mahmood, Anant Madabhushi, Andrew P. Bradley, João Manuel R. S. Tavares, Zhi Lu, Vasileios Belagiannis, Hayit Greenspan, Gustavo Carneiro, Jacinto C. Nascimento and João Paulo Papa and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Medical Physics and Journal of Magnetic Resonance Imaging.

In The Last Decade

Co-authorship network of co-authors of Mehdi Moradi i

Fields of papers citing papers by Mehdi Moradi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mehdi Moradi

Since Specialization
Citations

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