Moein Heidari

6 papers and 466 indexed citations i.

About

Moein Heidari is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Moein Heidari has authored 6 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Moein Heidari’s work include Radiomics and Machine Learning in Medical Imaging (4 papers), COVID-19 diagnosis using AI (3 papers) and AI in cancer detection (3 papers). Moein Heidari is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), COVID-19 diagnosis using AI (3 papers) and AI in cancer detection (3 papers). Moein Heidari collaborates with scholars based in Iran, Germany and Canada. Moein Heidari's co-authors include Dorit Merhof, Reza Azad, Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Julien Cohen‐Adad, Mohsen Fayyaz, Ilker Hacihaliloglu and Yiwei Jia and has published in prestigious journals such as IEEE Access, Medical Image Analysis and Modeling Earth Systems and Environment.

In The Last Decade

Co-authorship network of co-authors of Moein Heidari i

Fields of papers citing papers by Moein Heidari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Moein Heidari

Since Specialization
Citations

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