Sharat Chandran

34 papers and 252 indexed citations i.

About

Sharat Chandran is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sharat Chandran has authored 34 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sharat Chandran’s work include Advanced Vision and Imaging (9 papers), AI in cancer detection (6 papers) and Medical Image Segmentation Techniques (5 papers). Sharat Chandran is often cited by papers focused on Advanced Vision and Imaging (9 papers), AI in cancer detection (6 papers) and Medical Image Segmentation Techniques (5 papers). Sharat Chandran collaborates with scholars based in India, United States and Australia. Sharat Chandran's co-authors include Anant Madabhushi, Andrew Janowczyk, Jun Xu, Vaidyanathan Jayaraman, B. D. Kulkarni, David M. Mount, Anand Kulkarni, Michael D. Feldman, Ajit Rajwade and Dimitra Sasaroli and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Sharat Chandran i

Fields of papers citing papers by Sharat Chandran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sharat Chandran

Since Specialization
Citations

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