Sumit Chopra

28 papers and 3.1k indexed citations i.

About

Sumit Chopra is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sumit Chopra has authored 28 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sumit Chopra’s work include Topic Modeling (11 papers), Natural Language Processing Techniques (7 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Sumit Chopra is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (7 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Sumit Chopra collaborates with scholars based in United States, Israel and India. Sumit Chopra's co-authors include Jason Weston, Alexander M. Rush, Michael Auli, Antoine Bordes, Marc’Aurelio Ranzato, Wojciech Zaremba, Hollis G. Potter, Aaron Daluiski, Michael J. Gardner and Robert Hotchkiss and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Magnetic Resonance Imaging and Scientific Data.

In The Last Decade

Co-authorship network of co-authors of Sumit Chopra i

Fields of papers citing papers by Sumit Chopra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sumit Chopra

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025