Nathan Srebro

84 papers and 4.0k indexed citations i.

About

Nathan Srebro is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nathan Srebro has authored 84 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Artificial Intelligence, 29 papers in Computational Mechanics and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nathan Srebro’s work include Stochastic Gradient Optimization Techniques (29 papers), Sparse and Compressive Sensing Techniques (29 papers) and Machine Learning and Algorithms (23 papers). Nathan Srebro is often cited by papers focused on Stochastic Gradient Optimization Techniques (29 papers), Sparse and Compressive Sensing Techniques (29 papers) and Machine Learning and Algorithms (23 papers). Nathan Srebro collaborates with scholars based in United States, Israel and Japan. Nathan Srebro's co-authors include Tommi Jaakkola, Shai Shalev‐Shwartz, Andrew Cotter, Yoram Singer, Jason D. M. Rennie, Behnam Neyshabur, Karthik Sridharan, Ruslan Salakhutdinov, Ohad Shamir and Srinadh Bhojanapalli and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and IEEE Transactions on Automatic Control.

In The Last Decade

Co-authorship network of co-authors of Nathan Srebro i

Fields of papers citing papers by Nathan Srebro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nathan Srebro

Since Specialization
Citations

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