Hamed Akbari

83 papers and 3.4k indexed citations i.

About

Hamed Akbari is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Biomedical Engineering. According to data from OpenAlex, Hamed Akbari has authored 83 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Radiology, Nuclear Medicine and Imaging, 39 papers in Genetics and 14 papers in Biomedical Engineering. Recurrent topics in Hamed Akbari’s work include Radiomics and Machine Learning in Medical Imaging (43 papers), Glioma Diagnosis and Treatment (39 papers) and MRI in cancer diagnosis (15 papers). Hamed Akbari is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (43 papers), Glioma Diagnosis and Treatment (39 papers) and MRI in cancer diagnosis (15 papers). Hamed Akbari collaborates with scholars based in United States, Japan and Canada. Hamed Akbari's co-authors include Christos Davatzikos, Michel Bilello, Spyridon Bakas, Martin Rozycki, Aristeidis Sotiras, Justin Kirby, John Freymann, Keyvan Farahani, Baowei Fei and Kazuyuki Kojima and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Cancer.

In The Last Decade

Co-authorship network of co-authors of Hamed Akbari i

Fields of papers citing papers by Hamed Akbari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hamed Akbari

Since Specialization
Citations

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