Ali Rahimi

30 papers and 2.0k indexed citations i.

About

Ali Rahimi is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ali Rahimi has authored 30 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ali Rahimi’s work include Radiation Dose and Imaging (7 papers), Radiology practices and education (5 papers) and Machine Learning and Algorithms (4 papers). Ali Rahimi is often cited by papers focused on Radiation Dose and Imaging (7 papers), Radiology practices and education (5 papers) and Machine Learning and Algorithms (4 papers). Ali Rahimi collaborates with scholars based in United States, Iran and Germany. Ali Rahimi's co-authors include Benjamin Recht, Maya R. Gupta, Luca Cazzanti, Eric Garcia, Yihua Chen, Jonathan Lester, Louis Legrand, Gaetano Borriello, James A. Landay and Anthony LaMarca and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Machine Learning Research and Thermochimica Acta.

In The Last Decade

Co-authorship network of co-authors of Ali Rahimi i

Fields of papers citing papers by Ali Rahimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ali Rahimi

Since Specialization
Citations

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