Navid Farahani

17 papers and 720 indexed citations i.

About

Navid Farahani is a scholar working on Artificial Intelligence, Molecular Biology and Biophysics. According to data from OpenAlex, Navid Farahani has authored 17 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Molecular Biology and 7 papers in Biophysics. Recurrent topics in Navid Farahani’s work include AI in cancer detection (9 papers), Cell Image Analysis Techniques (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Navid Farahani is often cited by papers focused on AI in cancer detection (9 papers), Cell Image Analysis Techniques (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Navid Farahani collaborates with scholars based in United States, Switzerland and New Zealand. Navid Farahani's co-authors include Liron Pantanowitz, Anil V. Parwani, Douglas J. Hartman, Marilyn M. Bui, Albert Xthona, Famke Aeffner, Mark D. Zarella, Douglas Bowman, Michael Riben and Andrew Evans and has published in prestigious journals such as Nature Protocols, American Journal of Clinical Pathology and Archives of Pathology & Laboratory Medicine.

In The Last Decade

Co-authorship network of co-authors of Navid Farahani i

Fields of papers citing papers by Navid Farahani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Navid Farahani

Since Specialization
Citations

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