Ashirbani Saha

60 papers and 1.9k indexed citations i.

About

Ashirbani Saha is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ashirbani Saha has authored 60 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Artificial Intelligence and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ashirbani Saha’s work include Radiomics and Machine Learning in Medical Imaging (31 papers), AI in cancer detection (21 papers) and MRI in cancer diagnosis (13 papers). Ashirbani Saha is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (31 papers), AI in cancer detection (21 papers) and MRI in cancer diagnosis (13 papers). Ashirbani Saha collaborates with scholars based in United States, Canada and United Kingdom. Ashirbani Saha's co-authors include Maciej A. Mazurowski, Mateusz Buda, Michael R. Harowicz, Mustafa R. Bashir, Q. M. Jonathan Wu, Ehab A. AlBadawy, Zhe Zhu, Lars J. Grimm, Sujata V. Ghate and Jun Zhang and has published in prestigious journals such as Journal of neurosurgery, IEEE Transactions on Image Processing and British Journal of Cancer.

In The Last Decade

Co-authorship network of co-authors of Ashirbani Saha i

Fields of papers citing papers by Ashirbani Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ashirbani Saha

Since Specialization
Citations

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