Shubham Innani

10 papers and 211 indexed citations i.

About

Shubham Innani is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shubham Innani has authored 10 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shubham Innani’s work include Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (5 papers) and Brain Tumor Detection and Classification (2 papers). Shubham Innani is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (5 papers) and Brain Tumor Detection and Classification (2 papers). Shubham Innani collaborates with scholars based in United States and India. Shubham Innani's co-authors include Bhakti Baheti, Sanjay N. Talbar, Suhas Gajre, Spyridon Bakas, Ujjwal Baid, Sharath Chandra Guntuku, Mona Nasrallah, MacLean P. Nasrallah and William R. Bell and has published in prestigious journals such as Scientific Reports, Modern Pathology and Frontiers in Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Shubham Innani i

Fields of papers citing papers by Shubham Innani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shubham Innani

Since Specialization
Citations

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