Sanjay Subramanian

29 papers and 634 indexed citations i.

About

Sanjay Subramanian is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Sanjay Subramanian has authored 29 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Sanjay Subramanian’s work include Multimodal Machine Learning Applications (7 papers), Telemedicine and Telehealth Implementation (6 papers) and Topic Modeling (5 papers). Sanjay Subramanian is often cited by papers focused on Multimodal Machine Learning Applications (7 papers), Telemedicine and Telehealth Implementation (6 papers) and Topic Modeling (5 papers). Sanjay Subramanian collaborates with scholars based in United States, Israel and China. Sanjay Subramanian's co-authors include John A. Kellum, Ramesh Venkataraman, Matt Gardner, Sameer Singh, Vitaly Herasevich, Ning Qiang, Dan Roth, Junlin Wang, Eric Wallace and Ben Bogin and has published in prestigious journals such as Hepatology, Kidney International and CHEST Journal.

In The Last Decade

Co-authorship network of co-authors of Sanjay Subramanian i

Fields of papers citing papers by Sanjay Subramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sanjay Subramanian

Since Specialization
Citations

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