Sunil Gupta

27 papers and 973 indexed citations i.

About

Sunil Gupta is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sunil Gupta has authored 27 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 4 papers in Statistics and Probability and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sunil Gupta’s work include Machine Learning in Healthcare (9 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Bayesian Methods and Mixture Models (4 papers). Sunil Gupta is often cited by papers focused on Machine Learning in Healthcare (9 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Bayesian Methods and Mixture Models (4 papers). Sunil Gupta collaborates with scholars based in Australia, United States and India. Sunil Gupta's co-authors include Svetha Venkatesh, Dinh Phung, Truyen Tran, Santu Rana, Wei Luo, Alistair Shilton, John Yearwood, Michael Berk, Tu Bao Ho and Nevenka Dimitrova and has published in prestigious journals such as PLoS ONE, BMC Bioinformatics and Journal of Epidemiology & Community Health.

In The Last Decade

Co-authorship network of co-authors of Sunil Gupta i

Fields of papers citing papers by Sunil Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sunil Gupta

Since Specialization
Citations

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