Berkman Sahiner

272 papers and 7.1k indexed citations i.

About

Berkman Sahiner is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Berkman Sahiner has authored 272 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 186 papers in Radiology, Nuclear Medicine and Imaging, 177 papers in Artificial Intelligence and 94 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Berkman Sahiner’s work include AI in cancer detection (152 papers), Radiomics and Machine Learning in Medical Imaging (138 papers) and Digital Radiography and Breast Imaging (55 papers). Berkman Sahiner is often cited by papers focused on AI in cancer detection (152 papers), Radiomics and Machine Learning in Medical Imaging (138 papers) and Digital Radiography and Breast Imaging (55 papers). Berkman Sahiner collaborates with scholars based in United States, Thailand and Malaysia. Berkman Sahiner's co-authors include Heang‐Ping Chan, Nicholas Petrick, Lubomir M. Hadjiiski, Mark A. Helvie, Mitchell M. Goodsitt, Chuan Zhou, Dorit D. Adler, Jun Wei, Aria Pezeshk and Ella A. Kazerooni and has published in prestigious journals such as PLoS ONE, JNCI Journal of the National Cancer Institute and Radiology.

In The Last Decade

Co-authorship network of co-authors of Berkman Sahiner i

Fields of papers citing papers by Berkman Sahiner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Berkman Sahiner

Since Specialization
Citations

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