Nishant Subramani

7 papers and 37 indexed citations i.

About

Nishant Subramani is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Management Science and Operations Research. According to data from OpenAlex, Nishant Subramani has authored 7 papers receiving a total of 37 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 1 paper in Radiology, Nuclear Medicine and Imaging and 1 paper in Management Science and Operations Research. Recurrent topics in Nishant Subramani’s work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and COVID-19 diagnosis using AI (1 paper). Nishant Subramani is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and COVID-19 diagnosis using AI (1 paper). Nishant Subramani collaborates with scholars based in United States, Denmark and India. Nishant Subramani's co-authors include Samuel R. Bowman, Kyunghyun Cho, Doug Downey, Yacine Jernite, Maraim Masoud, Dragomir Radev, Anna Rogers, Jesse Dodge, Gérard Dupont and Aaron Gokaslan and has published in prestigious journals such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence and 2022 ACM Conference on Fairness, Accountability, and Transparency.

In The Last Decade

Co-authorship network of co-authors of Nishant Subramani i

Fields of papers citing papers by Nishant Subramani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nishant Subramani

Since Specialization
Citations

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