Shivam Kalra

19 papers and 429 indexed citations i.

About

Shivam Kalra is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shivam Kalra has authored 19 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shivam Kalra’s work include AI in cancer detection (13 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Colorectal Cancer Screening and Detection (3 papers). Shivam Kalra is often cited by papers focused on AI in cancer detection (13 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Colorectal Cancer Screening and Detection (3 papers). Shivam Kalra collaborates with scholars based in Canada, United States and India. Shivam Kalra's co-authors include Hamid R. Tizhoosh, Jesse C. Cresswell, Graham W. Taylor, Phedias Diamandis, Clinton J.V. Campbell, Liron Pantanowitz, Sultaan Shah, Charles Q. Choi, Morteza Babaie and Amir Safarpoor and has published in prestigious journals such as Nature Communications, Scientific Reports and American Journal Of Pathology.

In The Last Decade

Co-authorship network of co-authors of Shivam Kalra i

Fields of papers citing papers by Shivam Kalra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shivam Kalra

Since Specialization
Citations

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