Farzad Khalvati

81 papers and 2.0k indexed citations i.

About

Farzad Khalvati is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Farzad Khalvati has authored 81 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Radiology, Nuclear Medicine and Imaging, 27 papers in Pulmonary and Respiratory Medicine and 20 papers in Artificial Intelligence. Recurrent topics in Farzad Khalvati’s work include Radiomics and Machine Learning in Medical Imaging (39 papers), Prostate Cancer Diagnosis and Treatment (16 papers) and AI in cancer detection (14 papers). Farzad Khalvati is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (39 papers), Prostate Cancer Diagnosis and Treatment (16 papers) and AI in cancer detection (14 papers). Farzad Khalvati collaborates with scholars based in Canada, United States and Germany. Farzad Khalvati's co-authors include Masoom A. Haider, Alexander Wong, Khashayar Namdar, Yucheng Zhang, Anastasia Oikonomou, Patrik Rogalla, Alexander Wong, Paul J. Karanicolas, Steven Gallinger and Andrew Cameron and has published in prestigious journals such as Scientific Reports, Radiology and The Journal of Urology.

In The Last Decade

Co-authorship network of co-authors of Farzad Khalvati i

Fields of papers citing papers by Farzad Khalvati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Farzad Khalvati

Since Specialization
Citations

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