Paroma Varma

16 papers and 1.1k indexed citations i.

About

Paroma Varma is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Paroma Varma has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Paroma Varma’s work include Machine Learning and Data Classification (5 papers), Multimodal Machine Learning Applications (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Paroma Varma is often cited by papers focused on Machine Learning and Data Classification (5 papers), Multimodal Machine Learning Applications (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Paroma Varma collaborates with scholars based in United States, United Kingdom and India. Paroma Varma's co-authors include Robert T. Knight, Richard Gao, Torben Noto, Avgusta Y. Shestyuk, Joni D. Wallis, Erik Peterson, Antonio H. Lara, Bradley Voytek, Thomas Donoghue and Christopher Ré and has published in prestigious journals such as Nature Communications, Nature Neuroscience and Proceedings of the VLDB Endowment.

In The Last Decade

Co-authorship network of co-authors of Paroma Varma i

Fields of papers citing papers by Paroma Varma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paroma Varma

Since Specialization
Citations

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