Suvrit Sra

96 papers and 3.9k indexed citations i.

About

Suvrit Sra is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Suvrit Sra has authored 96 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 42 papers in Computational Mechanics and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Suvrit Sra’s work include Sparse and Compressive Sensing Techniques (37 papers), Stochastic Gradient Optimization Techniques (24 papers) and Advanced Optimization Algorithms Research (16 papers). Suvrit Sra is often cited by papers focused on Sparse and Compressive Sensing Techniques (37 papers), Stochastic Gradient Optimization Techniques (24 papers) and Advanced Optimization Algorithms Research (16 papers). Suvrit Sra collaborates with scholars based in United States, Germany and Iran. Suvrit Sra's co-authors include Inderjit S. Dhillon, Brian Kulis, Jason V. Davis, Prateek Jain, Stephen J. Wright, Sebastian Nowozin, Arindam Banerjee, Joydeep Ghosh, Anoop Cherian and Reshad Hosseini and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Astronomy and Astrophysics.

In The Last Decade

Co-authorship network of co-authors of Suvrit Sra i

Fields of papers citing papers by Suvrit Sra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Suvrit Sra

Since Specialization
Citations

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